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News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:04:02.625Z | user Content updated. v1.0.13 | 2026-08-24T01:48:39.600Z | user C","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 3.3K downloads reported by the source. 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News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\n\nTags: latest:1.0.14\n\nVersion history:\n\nv1.0.14 | 2026-08-24T02:04:02.625Z | user\n\nContent updated.\n\nv1.0.13 | 2026-08-24T01:48:39.600Z | user\n\nContent updated.\n\nv1.0.12 | 2026-08-03T06:08:41.950Z | user\n\nContent updated.\n\nv1.0.11 | 2026-08-02T22:05:36.358Z | user\n\nDisplay title updated.\n\nv1.0.10 | 2026-07-22T15:57:41.879Z | auto\n\n- Skill renamed from \"news-cog\" to \"news-briefing-cellcog\" for clearer identity.\n- Updated documentation to match the new skill name and branding.\n- Removed the obsolete skill-card.md file.\n- No changes to functionality or usage; all features and commands remain the same.\n\nv1.0.9 | 2026-04-23T06:19:14.991Z | auto\n\n- Added explicit environment and binary requirements (python3, CELLCOG_API_KEY) to metadata for clearer setup guidance.\n- No functional or usage changes to the skill itself—documentation update only.\n\nv1.0.8 | 2026-04-14T17:32:48.203Z | auto\n\n- Updated skill description for clarity and conciseness.\n- Revised SDK usage instructions: clarified language for agents other than OpenClaw.\n- Improved install instructions for different environments and tools.\n- No functional changes; documentation only.\n\nv1.0.7 | 2026-04-13T01:01:13.621Z | auto\n\n- Improved description for clarity and detail about multi-source summaries and agent-focused output.\n- Updated example usage code to show explicit CellCog client instantiation with agent_provider argument.\n- No changes to functionality; documentation enhancement only.\n\nv1.0.6 | 2026-04-12T23:35:56.191Z | auto\n\n- Significantly rewrote and streamlined documentation in SKILL.md for clarity and ease of use.\n- Shortened and simplified the skill description for better readability.\n- Reorganized setup instructions, separating OpenClaw and other agent workflows.\n- Added an explicit \"If CellCog is not installed\" section with clear installation instructions for different platforms.\n- Reduced introductory repetition and legacy references, focusing on practical usage and examples.\n\nv1.0.5 | 2026-04-08T05:58:26.522Z | auto\n\n- Expanded and reorganized documentation with detailed prompt examples, use cases, and best practices for news digests, competitive intelligence, and trend analysis.\n- Emphasized CellCog’s technical advantages—frontier search, multi-angle research, deep synthesis, and original source citations.\n- Added guidance on optimal chat modes, including when to use \"agent\" vs \"agent team\" for different news tasks.\n- Clarified output formats (structured text, PDF, HTML, Markdown) with recommendations for each.\n- Included tips for crafting focused, actionable news intelligence requests.\n- Updated description and summary sections for greater clarity and specificity about the skill’s capabilities and intended agent workflows.\n\nv1.0.4 | 2026-04-06T05:07:39.114Z | auto\n\n- Refined and shortened skill description for clarity and focus.\n- Simplified documentation, highlighting main capabilities and use cases.\n- Added clear summary of what CellCog provides: real-time search, multi-source synthesis, and multi-format outputs.\n- Clearly listed common news content types and when to use this skill.\n- Added a brief section on related skills for research and financial analysis.\n\nv1.0.3 | 2026-04-03T01:43:55.358Z | auto\n\n- Added agent usage examples for both OpenClaw (with `notify_session_key` for fire-and-forget) and other agents in the prerequisites.\n- Clarified SDK usage and delivery modes in the setup section.\n- Minor formatting and instruction improvements throughout documentation.\n- No changes to core features or functionality; documentation update only.\n\nv1.0.2 | 2026-04-03T00:08:14.195Z | auto\n\n- Updated SKILL.md with a simplified \"Quick start\" code example for easier onboarding.\n- Added guidance to reference the main cellcog skill for a full SDK/API reference, including modes and advanced usage.\n- Improved clarity around delivery modes and configuration.\n- No functional or API changes; documentation update only.\n\nv1.0.1 | 2026-03-27T04:17:46.433Z | auto\n\n- Updated the description to be shorter and more focused, emphasizing key use cases and technical strengths.\n- Added supported operating systems and project homepage to metadata.\n- No functional or API changes—documentation improvements only.\n\nv1.0.0 | 2026-02-17T23:02:24.997Z | auto\n\nnews-cog 1.0.0\n\n- Initial public release of News Cog by CellCog.\n- Delivers concise, research-driven news briefs, daily briefings, trend analyses, and competitive intelligence using advanced, multi-angle search.\n- Agent-optimized outputs: structured text, PDF, interactive HTML, and Markdown formats.\n- Requires the cellcog skill; designed for seamless agent workflow integration.\n- Supports custom prompts for industry, topic, or role-specific summaries, with quality citations on request.\n\nArchive index:\n\nArchive v1.0.14: 3 files, 4910 bytes\n\nFiles: skill-card.md (2290b), SKILL.md (7104b), _meta.json (141b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Daily briefings, topic summaries | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Deep trend analysis across many sources | `chat_mode=\"team\"` — that is research |\n\n**The flash tier is the default and handles most news briefings well** — fast and economical. **Upgrade to `chat_tier=\"max\"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier=\"max\"`.\n\nAgent Team (`chat_mode=\"team\"`) is reserved for deep research — don't use it for news briefings.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `openclaw skills install @cellcog/cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.14:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1787537042625\n}\n\nFile v1.0.14:skill-card.md\n\n## Description:\n\nAI news intelligence and daily briefing powered by CellCog, including news digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research, and multi-source synthesis for comprehensive briefs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and teams use this skill to request daily news briefings, competitive intelligence, market updates, trend reports, and custom digests from CellCog with concise, structured, sourced summaries.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and task content are sent to CellCog for processing.\n\nMitigation: Use this skill only where the CellCog data flow is approved, and avoid sending confidential, regulated, credential-bearing, or otherwise sensitive content unless explicitly authorized.\n\nRisk: Installation depends on external CellCog packages that may be unpinned.\n\nMitigation: Install only from trusted CellCog sources and pin or review versions in environments that require change control.\n\nRisk: CELLCOG_API_KEY is required for operation.\n\nMitigation: Store the API key in environment or secret-management storage and do not hardcode it in prompts, scripts, repositories, or logs.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/news-briefing-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with Python examples, shell commands, configuration notes, and structured news brief outputs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May produce structured text, Markdown, PDF reports, or interactive HTML through CellCog when requested; requires CELLCOG_API_KEY.]\n\n## Skill Version(s):\n\n1.0.14 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.13: 3 files, 4770 bytes\n\nFiles: skill-card.md (1960b), SKILL.md (7087b), _meta.json (141b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Daily briefings, topic summaries | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Deep trend analysis across many sources | `chat_mode=\"team\"` — that is research |\n\n**The flash tier is the default and handles most news briefings well** — fast and economical. **Upgrade to `chat_tier=\"max\"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier=\"max\"`.\n\nAgent Team (`chat_mode=\"team\"`) is reserved for deep research — don't use it for news briefings.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.13:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1787536119600\n}\n\nFile v1.0.13:skill-card.md\n\n## Description:\n\nAI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to request CellCog-powered news briefs, competitive intelligence, market updates, trend reports, and current events research from an agent workflow.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts may be processed by CellCog's external service using the user's CELLCOG_API_KEY.\n\nMitigation: Avoid sending confidential material unless external processing fits the user's usage policy.\n\nRisk: News briefings and trend reports can miss context or emphasize the wrong items if the prompt is too broad or lacks a timeframe.\n\nMitigation: Specify topic focus, timeframe, audience, desired format, and source-link requirements for briefing tasks.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/news-briefing-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Files, Guidance]\n\n**Output Format:** [Structured text, Markdown, PDF reports, or interactive HTML depending on the request]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Can include concise sections, bullets, source links, and prioritization cues when requested.]\n\n## Skill Version(s):\n\n1.0.13 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.12: 3 files, 4806 bytes\n\nFiles: skill-card.md (2397b), SKILL.md (7018b), _meta.json (141b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\n**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`\n**OpenClaw:** `clawhub install cellcog`\n**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.12:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1785737321950\n}\n\nFile v1.0.12:skill-card.md\n\n## Description: <br>\nAI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[cellcog](https://clawhub.ai/user/cellcog) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, developers, and agent operators use this skill to ask CellCog for daily briefings, competitive intelligence, market updates, trend monitoring, industry reports, and current-events research. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: News and research prompts are sent to CellCog, which can expose sensitive information if users include secrets, credentials, regulated data, or confidential internal material. <br>\nMitigation: Only send prompts approved for CellCog use; exclude secrets, credentials, regulated data, and confidential internal material unless organizational approval exists. <br>\nRisk: Briefings, digests, and trend reports can be incomplete, outdated, or misleading when the timeframe, audience, or citation requirements are underspecified. <br>\nMitigation: Specify timeframe, audience, structure, and citation needs in the prompt, then review source links before relying on the briefing for decisions. <br>\n\n\n## Reference(s): <br>\n- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/news-briefing-cellcog) <br>\n- [CellCog](https://cellcog.ai) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python examples and setup commands; CellCog responses may be structured text, Markdown, PDF reports, or interactive HTML.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY for CellCog API access.] <br>\n\n## Skill Version(s): <br>\n1.0.12 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.11: 3 files, 4771 bytes\n\nFiles: skill-card.md (2303b), SKILL.md (6943b), _meta.json (141b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.11:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1785708336358\n}\n\nFile v1.0.11:skill-card.md\n\n## Description: <br>\nAI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[cellcog](https://clawhub.ai/user/cellcog) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nEmployees, external users, developers, and agents use this skill to request current news briefings, competitive intelligence, market updates, trend reports, and sourced custom digests through CellCog. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Briefing and research prompts are processed by CellCog, an external service. <br>\nMitigation: Avoid including secrets, credentials, personal data, private documents, or regulated business information unless your organization has approved CellCog for that use. <br>\nRisk: Broad news prompts can produce briefs that are less traceable or less relevant to the user's decision context. <br>\nMitigation: Specify timeframe, audience, focus areas, priority signals, and request source URLs when traceability matters. <br>\n\n\n## Reference(s): <br>\n- [CellCog homepage](https://cellcog.ai) <br>\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/news-briefing-cellcog) <br>\n- [CellCog publisher profile](https://clawhub.ai/user/cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown instructions with Python and shell command examples; generated briefings may be structured text, Markdown, PDF, or interactive HTML.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; prompts are sent to CellCog for news research and synthesis.] <br>\n\n## Skill Version(s): <br>\n1.0.11 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.10: 3 files, 4753 bytes\n\nFiles: skill-card.md (2290b), SKILL.md (6943b), _meta.json (141b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.10:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1784735861879\n}\n\nFile v1.0.10:skill-card.md\n\n## Description: <br>\nNews Briefing Cellcog helps agents create CellCog-powered news digests, competitive intelligence, market updates, trend reports, industry reports, and current events briefs. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal developers and teams use this skill to ask an agent for concise, sourced news briefings, competitive intelligence, market updates, trend reports, and custom digests powered by CellCog. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Requests and prompts are sent to CellCog as an external news research provider. <br>\nMitigation: Use a CellCog account whose data-handling terms support the intended use, and avoid confidential strategy, customer data, or non-public financial information unless approved. <br>\nRisk: News briefings may contain outdated, incomplete, or misleading source interpretation. <br>\nMitigation: Request source URLs and review important claims before using the output for business, legal, financial, or public communications. <br>\n\n\n## Reference(s): <br>\n- [CellCog](https://cellcog.ai) <br>\n- [ClawHub Skill Page](https://clawhub.ai/nitishgargiitd/skills/news-briefing-cellcog) <br>\n- [ClawHub Publisher Profile](https://clawhub.ai/user/nitishgargiitd) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python code snippets and shell commands; resulting CellCog tasks may return structured text, Markdown, PDF reports, or interactive HTML.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3, the CellCog dependency, and CELLCOG_API_KEY; output may include source links when requested.] <br>\n\n## Skill Version(s): <br>\n1.0.10 (source: ClawHub release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.9: 3 files, 4694 bytes\n\nFiles: skill-card.md (2116b), SKILL.md (6925b), _meta.json (140b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: news-cog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Cog - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1776925154991\n}\n\nFile v1.0.9:skill-card.md\n\n## Description: <br>\nNews Cog provides AI news intelligence and daily briefings powered by CellCog for news digests, competitive intelligence, market updates, trend monitoring, industry reports, and current events research. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[nitishgargiitd](https://clawhub.ai/user/nitishgargiitd) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, developers, and agent operators use News Cog to request current news briefings, competitive intelligence, market updates, trend reports, and sourced digests tailored to an audience or timeframe. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill requires a CellCog API key and sends news-research prompts to an external service. <br>\nMitigation: Use a dedicated CellCog API key where possible and avoid including secrets or unnecessary private business context in prompts. <br>\nRisk: The skill depends on the external cellcog package. <br>\nMitigation: Verify that the cellcog dependency comes from the expected source before installation or deployment. <br>\n\n\n## Reference(s): <br>\n- [CellCog Homepage](https://cellcog.ai) <br>\n- [News Cog on ClawHub](https://clawhub.ai/nitishgargiitd/news-cog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance] <br>\n**Output Format:** [Markdown guidance with Python examples and setup commands; requested news outputs may be structured text, markdown, PDF reports, or interactive HTML.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; outputs can include source links when requested.] <br>\n\n## Skill Version(s): <br>\n1.0.9 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.8: 2 files, 3510 bytes\n\nFiles: SKILL.md (6860b), _meta.json (140b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: news-cog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Cog - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\nRun `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool) to install and authenticate.\n**OpenClaw users:** Run `clawhub install cellcog` instead.\n**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1776187968203\n}\n\nArchive v1.0.7: 2 files, 3520 bytes\n\nFiles: SKILL.md (6926b), _meta.json (140b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: news-cog\ndescription: \"AI news summary and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, and current events research. Multi-source synthesis delivers accurate, comprehensive briefs — ready for agents to consume without context flooding. Frontier search with deep reasoning.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Cog - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1776042073621\n}\n\nArchive v1.0.6: 2 files, 3428 bytes\n\nFiles: SKILL.md (6686b), _meta.json (140b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: news-cog\ndescription: \"Powered by CellCog. News summaries and competitive intelligence. News digests, market updates, trend monitoring, industry reports, and current events research. Multi-source synthesis into structured briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Cog - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**Cursor / Claude Code / Other agents (blocks until done):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\n---\n\n## If CellCog is not installed\n\n**Cursor:** Run `/cellcog-setup` to install and authenticate.\n**OpenClaw:** Run `clawhub install cellcog` for SDK setup.\n**Other agents:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.\n\nFile v1.0.6:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.6\",\n  \"publishedAt\": 1776036956191\n}\n\nArchive v1.0.5: 2 files, 3424 bytes\n\nFiles: SKILL.md (6764b), _meta.json (140b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: news-cog\ndescription: \"AI news summary and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, and current events research. Multi-source synthesis delivers accurate, comprehensive briefs — ready for agents to consume without context flooding. Frontier search with deep reasoning.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n\n# News Cog - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n---\n\n## Prerequisites\n\nThis skill requires the `cellcog` skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**OpenClaw agents (fire-and-forget — recommended for long tasks):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",  # OpenClaw only\n    task_label=\"my-task\",\n    chat_mode=\"agent\",  # See cellcog skill for all modes\n)\n```\n\n**All other agents (blocks until done):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\nSee the **cellcog** mothership skill for complete SDK API reference — delivery modes, timeouts, file handling, and more.\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments\"\n- **Regulatory Watch**: \"Summarize new AI regulations proposed or enacted globally in 2026\"\n- **Technology Shifts**: \"Research the shift from RAG to long-context models — what are the latest developments?\"\n\n### Custom News Digests\n\nTailored to your specific needs:\n\n- **Role-Specific**: \"Create a weekly digest for a VP of Engineering at a fintech company\"\n- **Topic-Specific**: \"Summarize everything published about quantum computing this week\"\n- **Region-Specific**: \"What's happening in the European tech ecosystem this month?\"\n- **Event Coverage**: \"Summarize the key announcements from AWS re:Invent 2026\"\n\n---\n\n## Why CellCog for News?\n\n### The Technical Edge\n\nCellCog doesn't just search once and summarize — it runs **multi-angle research** across your query:\n\n1. **Multiple search intents**: A single news query is decomposed into multiple research angles\n2. **Frontier search models**: SOTA retrieval across hundreds of sources\n3. **Deep reasoning**: Cross-references and synthesizes findings, not just concatenates\n4. **Citation quality**: Sources traced back to original reporting, not aggregator summaries\n\n| RSS Feeds / News Aggregators | CellCog News Cog |\n|-----------------------------|------------------|\n| Raw article firehose | Synthesized, prioritized intelligence |\n| You filter and read | CellCog researches, reasons, and summarizes |\n| Same view for everyone | Tailored to your role, industry, and priorities |\n| Text links only | Structured briefs, PDF reports, or interactive dashboards |\n| Floods your context | Delivers concise, agent-consumable output |\n\n### Agent-Optimized Output\n\nCellCog News Cog is designed with agent workflows in mind. The output is:\n- **Concise** — won't overwhelm your main agent's context window\n- **Structured** — clear sections, bullet points, and hierarchies\n- **Actionable** — highlights what matters and why\n- **Sourced** — includes citations when requested\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **Structured text** | Agent consumption, quick briefings |\n| **PDF Report** | Professional distribution, archiving |\n| **Interactive HTML** | Explorable dashboards with filters |\n| **Markdown** | Integration into docs, wikis, or knowledge bases |\n\n---\n\n## Chat Mode for News\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Daily briefings, quick news summaries | `\"agent\"` |\n| Competitive intelligence, single-topic digests | `\"agent\"` |\n| Deep trend analysis, comprehensive industry reports | `\"agent team\"` |\n\n**Use `\"agent\"` for most news tasks.** Daily briefings, competitive monitoring, and news digests execute well.\n\n**Use `\"agent team\"` for deep trend analysis** — when you need multi-source synthesis across dozens of publications and research papers.\n\n---\n\n## Tips for Better News Intelligence\n\n1. **Define your focus**: \"Tech news\" is too broad. \"AI infrastructure and developer tools\" is focused.\n\n2. **Specify timeframe**: \"Today's news\", \"this week\", \"last 30 days\" — recency matters.\n\n3. **Set the audience**: \"For a technical audience\" vs. \"for a board of directors\" changes depth and tone.\n\n4. **Request structure**: \"Bullet-point brief under 500 words\" vs. \"comprehensive PDF report with sections\" — be explicit.\n\n5. **Ask for citations**: \"Include source URLs for each item\" — when traceability matters.\n\n6. **Indicate priority signals**: \"Highlight anything about regulation changes or major funding rounds\" — helps CellCog surface what matters to you.\n\nFile v1.0.5:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1775627906522\n}","readmeExcerpt":"Skill: News Briefing Owner: cellcog Summary: AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:04:02.625Z | user Content updated. v1.0.13 | 2026-08-24T01:48:39.600Z | user C","codeSnippets":[],"executableExamples":[{"language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])"},{"language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])"},{"language":"python","snippet":"result = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)"},{"language":"python","snippet":"from cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: news-briefing-cellcog\ndescription: \"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.\"\nmetadata:\n  openclaw:\n    emoji: \"📰\"\n    os: [darwin, linux, windows]\n    requires:\n      bins: [python3]\n      env: [CELLCOG_API_KEY]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# News Briefing - AI News Intelligence Powered by CellCog\n\n**Frontier search models with multi-angle research on every query.**\n\nCellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.\n\n## How to Use\n\nFor your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.\n\n**OpenClaw (fire-and-forget):**\n```python\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\n```\n\n**All agents except OpenClaw (blocks until done):**\n```python\nfrom cellcog import CellCogClient\nclient = CellCogClient(agent_provider=\"openclaw|cursor|claude-code|codex|...\")\nresult = client.create_chat(\n    prompt=\"[your task prompt]\",\n    task_label=\"my-task\",\n    chat_mode=\"agent\",\n)\nprint(result[\"message\"])\n```\n\n\n---\n\n## What You Can Get\n\n### Daily Briefings\n\nConcise, actionable summaries:\n\n- **Morning Briefing**: \"Give me today's top tech industry news — focus on AI, cloud, and enterprise software\"\n- **Market Open**: \"Summarize pre-market news affecting FAANG stocks and semiconductor sector\"\n- **Industry Digest**: \"Summarize this week's most important developments in renewable energy\"\n- **Startup News**: \"What happened in startup funding this week? Series A+ rounds in fintech\"\n\n**Example prompt:**\n> \"Create a morning briefing for a startup CEO:\n> \n> Focus areas:\n> 1. AI industry developments (new models, funding, regulations)\n> 2. SaaS market trends and notable deals\n> 3. Macro economic signals (Fed, inflation, tech employment)\n> \n> Format: Bullet-point brief with one-sentence summaries and source links.\n> Highlight anything that requires immediate attention.\n> Total length: Under 500 words — I need to scan this in 2 minutes.\"\n\n### Competitive Intelligence\n\nMonitor your competitive landscape:\n\n- **Competitor Watch**: \"What has Notion shipped or announced in the last 30 days?\"\n- **Market Moves**: \"Summarize recent M&A activity in the cybersecurity sector\"\n- **Product Launches**: \"What new AI developer tools launched this month?\"\n- **Funding Tracker**: \"List all AI companies that raised $50M+ in the last 2 weeks\"\n\n### Trend Reports\n\nDeeper analysis of emerging patterns:\n\n- **Trend Analysis**: \"What"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"news-briefing-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1787537042625\n}"},{"path":"skill-card.md","content":"## Description:\n\nAI news intelligence and daily briefing powered by CellCog, including news digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research, and multi-source synthesis for comprehensive briefs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[cellcog](https://clawhub.ai/user/cellcog)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and teams use this skill to request daily news briefings, competitive intelligence, market updates, trend reports, and custom digests from CellCog with concise, structured, sourced summaries.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and task content are sent to CellCog for processing.\n\nMitigation: Use this skill only where the CellCog data flow is approved, and avoid sending confidential, regulated, credential-bearing, or otherwise sensitive content unless explicitly authorized.\n\nRisk: Installation depends on external CellCog packages that may be unpinned.\n\nMitigation: Install only from trusted CellCog sources and pin or review versions in environments that require change control.\n\nRisk: CELLCOG_API_KEY is required for operation.\n\nMitigation: Store the API key in environment or secret-management storage and do not hardcode it in prompts, scripts, repositories, or logs.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/news-briefing-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with Python examples, shell commands, configuration notes, and structured news brief outputs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May produce structured text, Markdown, PDF reports, or interactive HTML through CellCog when requested; requires CELLCOG_API_KEY.]\n\n## Skill Version(s):\n\n1.0.14 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. Skill: News Briefing Owner: cellcog Summary: AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs. 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