{"id":"00a3f046-038d-4636-9e31-3bff2d8b08ff","entityType":"agent","slug":"clawhub-cellcog-travel-planning-cellcog","name":"Travel Planning","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cellcog-travel-planning-cellcog","canonicalPath":"/agent/clawhub-cellcog-travel-planning-cellcog","generatedAt":"2026-10-09T20:45:23.559Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T08:08:20.083Z","emptyReason":null},"description":"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards. Skill: Travel Planning Owner: cellcog Summary: AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards. Tags: latest:1.0.16 Version history: v1.0.16 | 2026-08-24T02:04:44.892Z | user Content updated. v1.0.15 | 2026-08-24T01:49:30.","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 3.4K downloads reported by the source. 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Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\n\nTags: latest:1.0.16\n\nVersion history:\n\nv1.0.16 | 2026-08-24T02:04:44.892Z | user\n\nContent updated.\n\nv1.0.15 | 2026-08-24T01:49:30.393Z | user\n\nContent updated.\n\nv1.0.14 | 2026-08-03T06:09:29.561Z | user\n\nContent updated.\n\nv1.0.13 | 2026-08-02T22:06:17.860Z | user\n\nDisplay title updated.\n\nv1.0.12 | 2026-07-22T15:57:56.204Z | auto\n\n- Skill renamed from \"travel-cog\" to \"travel-planning-cellcog\"\n- Description and documentation updated to reflect the new skill name\n- Removed redundant \"skill-card.md\" file\n- No functional or API changes in this release\n\nv1.0.11 | 2026-04-23T06:19:45.607Z | auto\n\n- Added requirements for Python 3 and the CELLCOG_API_KEY environment variable to the skill metadata.\n- No other content or functional changes.\n\nv1.0.10 | 2026-04-14T17:33:27.607Z | auto\n\n- Streamlined skill description for brevity and clarity.\n- Updated SDK usage instructions for agents other than OpenClaw.\n- Improved installation guidance with clearer steps for each agent/platform.\n- Removed references to \"hidden gems\" in the summary and focused feature list.\n- No functional changes; documentation and onboarding improved for clarity.\n\nv1.0.9 | 2026-04-13T01:01:49.873Z | auto\n\n- Updated description for clarity and emphasis on research-driven travel planning and DeepResearch Bench ranking.\n- Improved and expanded SDK usage instructions, including sample import for CellCogClient.\n- Wording and content refinements for accuracy and conciseness throughout.\n- No functional or code changes—documentation/SKILL.md improvements only.\n\nv1.0.8 | 2026-04-12T23:36:31.075Z | auto\n\n- Simplified and condensed the skill description for clarity and brevity.\n- Streamlined the usage instructions with separate guides for OpenClaw and other agents.\n- Moved advanced SDK and setup information to the cellcog skill, referencing it directly.\n- Added clear instructions for installing CellCog in Cursor, OpenClaw, and other environments.\n- Minor reorganization and formatting improvements for easier reading.\n\nv1.0.7 | 2026-04-08T05:59:01.702Z | auto\n\n- Overhauled description and documentation for clarity and detail on capabilities and output formats.\n- Added prominent positioning as \"#1 on DeepResearch Bench (Apr 2026)\" and emphasized research-driven planning (not blog listicles).\n- Expanded sections with concrete example prompts for various travel scenarios (city trips, multi-city tours, family, budget, business).\n- Detailed new “Why CellCog for Travel?” and “Output Formats” comparison charts.\n- Included a \"Tips for Better Travel Plans\" section to help users get higher-quality, tailored itineraries.\n- Updated chat mode guidance for typical travel planning and complex scenarios.\n\nv1.0.6 | 2026-04-06T05:08:13.693Z | auto\n\ntravel-cog v1.0.6 Changelog\n\n- SKILL.md rewritten and significantly condensed for clarity and brevity.\n- Description shortened, with marketing copy and detailed feature lists removed.\n- Output formats now summarized (PDF, HTML dashboards).\n- Practical usage and code examples retained.\n- Feature highlights reorganized into concise, bulleted sections.\n- Reference to related skills added.\n\nv1.0.5 | 2026-04-03T01:44:28.185Z | auto\n\n- Added example Python code for integrating with OpenClaw agents (fire-and-forget), including usage of notify_session_key for long-running tasks.\n- Clarified agent usage, specifying differences between OpenClaw agents (async/notify) and all other agents (blocking).\n- Removed SDK file handling and timeout details from skill documentation, pointing instead to the main cellcog skill for those topics.\n- No changes to travel planning features or outputs.\n\nv1.0.4 | 2026-04-03T00:08:51.986Z | auto\n\n- Updated the SDK usage section to feature a simpler \"Quick start\" code example.\n- Clarified reference to the cellcog skill for API details, delivery modes, and advanced options.\n- Removed deprecated session notification parameters from setup instructions.\n- Improved instructions for finding comprehensive SDK documentation.\n- No functional changes; documentation improvements only.\n\nv1.0.3 | 2026-04-02T03:34:20.277Z | auto\n\n- Updated DeepResearch Bench ranking date from February 2026 to April 2026 in the description and main documentation.\n- No functional or feature changes; documentation only.\n\nv1.0.2 | 2026-03-27T04:18:20.982Z | auto\n\n- Updated the SKILL.md description for clarity and conciseness.\n- Added supported operating systems (darwin, linux, windows) to metadata.\n- Added a homepage URL to metadata.\n- Improved formatting and organization of documentation.\n- No changes to functionality—documentation update only.\n\nv1.0.1 | 2026-03-20T19:09:10.654Z | user\n\n- Clarified that PDF is the default output format when no format is specified.\n- No changes to code or core features. This update refines documentation for greater clarity.\n\nv1.0.0 | 2026-02-18T00:02:47.492Z | user\n\n- Initial release of travel-cog, a travel research and planning skill powered by CellCog.\n- Generates custom trip itineraries and deep travel research (current prices, visa, weather, local events, hidden gems).\n- Outputs in PDF, interactive HTML, or Markdown formats based on user preference.\n- Supports detailed travel logistics, local recommendations, and practical guides.\n- Requires the cellcog skill as a dependency for setup and API access.\n\nArchive index:\n\nArchive v1.0.16: 3 files, 4638 bytes\n\nFiles: skill-card.md (2172b), SKILL.md (6398b), _meta.json (143b)\n\nFile v1.0.16:SKILL.md\n\n---\nname: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Itineraries and trip plans | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Complex multi-country planning | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most travel planning 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 travel planning.\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.16:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.16\",\n  \"publishedAt\": 1787537084892\n}\n\nFile v1.0.16:skill-card.md\n\n## Description:\n\nAI travel planning and itinerary generation powered by CellCog for travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, PDFs, and interactive dashboards.\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 agent operators use this skill to ask CellCog for researched itineraries, destination comparisons, visa and safety research, budget estimates, packing lists, and travel logistics tailored to dates, budget, interests, and constraints.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup uses mutable third-party package or skill installation commands that can change behavior over time.\n\nMitigation: Install only when the CellCog publisher is trusted, prefer pinned versions or verified sources, and review the installed package before use.\n\nRisk: The skill requires CELLCOG_API_KEY and may operate in an environment containing unrelated credentials or sensitive local files.\n\nMitigation: Use a scoped CellCog API key, keep unrelated credentials and sensitive local files out of the execution environment, and avoid submitting sensitive travel data unless appropriate.\n\n## Reference(s):\n\n- [ClawHub Travel Planning Skill](https://clawhub.ai/cellcog/skills/travel-planning-cellcog)\n- [CellCog Homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Files, Guidance]\n\n**Output Format:** [Travel plans, research summaries, Markdown, PDF itineraries, and interactive HTML dashboards]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; outputs depend on requested trip details and selected CellCog mode or tier.]\n\n## Skill Version(s):\n\n1.0.16 (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 v1.0.15: 3 files, 4534 bytes\n\nFiles: skill-card.md (1961b), SKILL.md (6381b), _meta.json (143b)\n\nFile v1.0.15:SKILL.md\n\n---\nname: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Itineraries and trip plans | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Complex multi-country planning | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most travel planning 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 travel planning.\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.15:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.15\",\n  \"publishedAt\": 1787536170393\n}\n\nFile v1.0.15:skill-card.md\n\n## Description:\n\nTravel Planning uses CellCog to help agents research trips and generate itineraries with recommendations for logistics, visas, weather, events, accommodations, and budgets.\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 travel research, compare destinations, plan logistics, and produce tailored trip itineraries through CellCog.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Travel prompts and trip details are sent to CellCog and require a CellCog API key.\n\nMitigation: Use the skill only when sharing the trip details with CellCog is acceptable, and manage CELLCOG_API_KEY as a secret.\n\nRisk: The skill can produce PDFs or interactive HTML dashboards when those formats are requested or used by default.\n\nMitigation: Request Markdown or text output when files such as PDFs or HTML dashboards should not be written to disk.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/travel-planning-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n- [CellCog publisher profile](https://clawhub.ai/user/cellcog)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown, text, PDF itinerary, or interactive HTML depending on the requested output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; uses CellCog for travel research and itinerary generation.]\n\n## Skill Version(s):\n\n1.0.15 (source: 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 v1.0.14: 3 files, 4387 bytes\n\nFiles: skill-card.md (2081b), SKILL.md (6085b), _meta.json (143b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.14:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1785737369561\n}\n\nFile v1.0.14:skill-card.md\n\n## Description: <br>\nAI travel planning and itinerary generation powered by CellCog for travel research, logistics planning, and itineraries delivered as PDFs, interactive dashboards, or Markdown. <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 and developers use this skill to request destination research, trip itineraries, travel logistics, budget estimates, visa research, weather and event research, and practical travel planning outputs through CellCog. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Travel-planning prompts and included trip details are sent to CellCog. <br>\nMitigation: Avoid unnecessary sensitive details such as full legal names, passport numbers, exact home address, or private account information. <br>\nRisk: Travel plans may rely on time-sensitive prices, visa requirements, weather, events, and availability. <br>\nMitigation: Verify critical logistics and official requirements before booking or travel. <br>\n\n\n## Reference(s): <br>\n- [Travel Planning Skill Page](https://clawhub.ai/cellcog/skills/travel-planning-cellcog) <br>\n- [CellCog Homepage](https://cellcog.ai) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Guidance, Markdown, Files] <br>\n**Output Format:** [PDF itineraries, interactive HTML dashboards, or Markdown travel plans] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May include travel research, day-by-day itineraries, logistics, cost estimates, and recommendations tailored to dates, budget, interests, and constraints.] <br>\n\n## Skill Version(s): <br>\n1.0.14 (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 v1.0.13: 3 files, 4325 bytes\n\nFiles: skill-card.md (1991b), SKILL.md (6010b), _meta.json (143b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.13:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1785708377860\n}\n\nFile v1.0.13:skill-card.md\n\n## Description: <br>\nAI travel planning and itinerary generation powered by CellCog. <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 and agent operators use this skill to ask CellCog for travel research, trip itineraries, logistics planning, and travel outputs in PDF, interactive HTML, or Markdown formats. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Prompts and travel details are processed through CellCog. <br>\nMitigation: Avoid including unnecessary sensitive information and review CellCog's data handling terms before sharing private family, health, visa, or budget details. <br>\nRisk: Travel plans may include time-sensitive details such as prices, visa requirements, weather, and local events. <br>\nMitigation: Verify critical booking, entry, health, safety, and schedule information with official sources before purchasing or traveling. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/travel-planning-cellcog) <br>\n- [CellCog homepage](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 with Python examples, shell commands, and links or files for generated travel plans] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May produce PDF itineraries, interactive HTML dashboards, or Markdown travel plans through CellCog.] <br>\n\n## Skill Version(s): <br>\n1.0.13 (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 v1.0.12: 3 files, 4489 bytes\n\nFiles: skill-card.md (2325b), SKILL.md (6010b), _meta.json (143b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.12:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1784735876204\n}\n\nFile v1.0.12:skill-card.md\n\n## Description: <br>\nAI travel planning and itinerary generation powered by CellCog, including vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, and complete itineraries as PDFs or interactive dashboards. <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 and agents use this skill to request CellCog-powered travel itineraries, destination research, logistics comparisons, and practical planning outputs for trips. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Travel prompts and trip details are sent to CellCog for processing. <br>\nMitigation: Avoid including unnecessary sensitive details such as passport numbers, exact home addresses, confidential business schedules, or regulated personal data unless CellCog privacy and retention practices have been reviewed. <br>\nRisk: Generated travel recommendations may depend on current prices, visa requirements, weather, events, and availability that can change. <br>\nMitigation: Review travel-critical details against authoritative sources before booking or travel. <br>\n\n\n## Reference(s): <br>\n- [CellCog homepage](https://cellcog.ai) <br>\n- [Travel Planning Cellcog on ClawHub](https://clawhub.ai/nitishgargiitd/skills/travel-planning-cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown with Python and shell code blocks; CellCog travel outputs may be requested as PDF, interactive HTML, or Markdown.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY; prompts and travel details are sent to CellCog for processing.] <br>\n\n## Skill Version(s): <br>\n1.0.12 (source: server 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 v1.0.11: 3 files, 4347 bytes\n\nFiles: skill-card.md (2112b), SKILL.md (5992b), _meta.json (143b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: travel-cog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Cog - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1776925185607\n}\n\nFile v1.0.11:skill-card.md\n\n## Description: <br>\nTravel Cog provides CellCog-powered travel planning, travel research, logistics guidance, and itinerary generation with PDF, interactive HTML, or Markdown deliverables. <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 and travel-planning agents use this skill to research destinations, compare logistics, and generate tailored trip itineraries with practical travel details. It is intended for CellCog-backed planning that may produce PDFs, interactive HTML dashboards, or Markdown itineraries. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Travel queries and generated plans may be sent to the external CellCog service. <br>\nMitigation: Avoid including sensitive personal details unless they are needed for the travel-planning task, and install only if external CellCog processing is acceptable. <br>\nRisk: The skill requires a CellCog API key. <br>\nMitigation: Provide the key through the CELLCOG_API_KEY environment variable and handle it as a sensitive credential. <br>\n\n\n## Reference(s): <br>\n- [Travel Cog on ClawHub](https://clawhub.ai/nitishgargiitd/travel-cog) <br>\n- [CellCog](https://cellcog.ai) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Files, Guidance] <br>\n**Output Format:** [Travel guidance and itinerary content with optional PDF, interactive HTML, or Markdown deliverables] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; uses the CellCog service for travel research and itinerary generation.] <br>\n\n## Skill Version(s): <br>\n1.0.11 (source: server 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 v1.0.10: 2 files, 3221 bytes\n\nFiles: SKILL.md (5927b), _meta.json (143b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: travel-cog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\nmetadata:\n  openclaw:\n    emoji: \"✈️\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Travel Cog - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1776188007607\n}\n\nArchive v1.0.9: 2 files, 3215 bytes\n\nFiles: SKILL.md (6001b), _meta.json (142b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: travel-cog\ndescription: \"AI travel planning and trip itinerary powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, and hidden gems. Complete itineraries as beautiful PDFs or interactive dashboards. Research-first — not recycled blog listicles. #1 on DeepResearch Bench (Apr 2026).\"\nmetadata:\n  openclaw:\n    emoji: \"✈️\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Travel Cog - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1776042109873\n}\n\nArchive v1.0.8: 2 files, 3151 bytes\n\nFiles: SKILL.md (5754b), _meta.json (142b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: travel-cog\ndescription: \"Powered by CellCog. Travel planning and trip itineraries. Vacation planning, flight research, hotel recommendations, visa requirements, weather patterns, and local events. Itineraries as PDFs or interactive dashboards.\"\nmetadata:\n  openclaw:\n    emoji: \"✈️\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Travel Cog - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\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 v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1776036991075\n}\n\nArchive v1.0.7: 2 files, 3121 bytes\n\nFiles: SKILL.md (5839b), _meta.json (142b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: travel-cog\ndescription: \"AI travel planning and trip itinerary powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, and hidden gems. Complete itineraries as beautiful PDFs or interactive dashboards. Research-first — not recycled blog listicles. #1 on DeepResearch Bench (Apr 2026).\"\nmetadata:\n  openclaw:\n    emoji: \"✈️\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n\n# Travel Cog - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requirements do US citizens need for a 30-day trip through Central America?\"\n- **Safety & Health**: \"Research travel safety and health recommendations for Colombia in 2026\"\n- **Seasonal Analysis**: \"When is the best time to visit Patagonia? Research weather, crowds, and costs by month\"\n- **Local Events**: \"What festivals and events are happening in Portugal in September 2026?\"\n\n### Logistics & Practical Info\n\nThe details that matter:\n\n- **Packing Lists**: \"Create a packing list for 2 weeks in Iceland in February\"\n- **Budget Breakdowns**: \"Estimate daily costs for backpacking through South America\"\n- **Transport Guides**: \"How to get around Japan — JR Pass vs. individual tickets for my itinerary\"\n- **Accommodation Strategy**: \"Compare hotels vs. Airbnb vs. ryokans for my Japan trip\"\n\n---\n\n## Output Formats\n\n| Format | Best For |\n|--------|----------|\n| **PDF Itinerary** | Phone-friendly, printable, shareable with travel partners |\n| **Interactive HTML** | Clickable maps, expandable days, budget tracker |\n| **Markdown** | Integration into Notion, Obsidian, or other planning tools |\n\nSpecify your preferred format. CellCog defaults to PDF when no format is specified.\n\n---\n\n## Why CellCog for Travel?\n\n| Generic Travel AI | CellCog Travel Cog |\n|------------------|-------------------|\n| Recycled top-10 lists | Fresh research on current prices and availability |\n| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |\n| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |\n| Surface-level tips | Deep research on visa, weather, events, hidden gems |\n| Can't do logistics | Estimates costs, compares transport, suggests accommodations |\n\n---\n\n## Chat Mode for Travel\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single trip itinerary | `\"agent\"` |\n| Quick destination research | `\"agent\"` |\n| Complex multi-country planning with deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most travel planning.**\n\n---\n\n## Tips for Better Travel Plans\n\n1. **Be specific about dates**: Prices, weather, and events vary dramatically by date.\n\n2. **Share your travel style**: \"Luxury resort\", \"budget backpacker\", \"boutique hotels\" changes every recommendation.\n\n3. **Name your interests**: \"Food-focused\", \"adventure activities\", \"architecture and history\", \"beach and relaxation\"\n\n4. **Set a budget**: Even a rough range helps CellCog calibrate recommendations.\n\n5. **Mention constraints**: \"We don't drive\", \"vegetarian\", \"traveling with a toddler\", \"wheelchair accessible\"\n\n6. **Ask for a PDF**: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1775627941702\n}","readmeExcerpt":"Skill: Travel Planning Owner: cellcog Summary: AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards. Tags: latest:1.0.16 Version history: v1.0.16 | 2026-08-24T02:04:44.892Z | user Content updated. v1.0.15 | 2026-08-24T01:49:30.","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: travel-planning-cellcog\ndescription: \"AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.\"\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# Travel Planning - AI Travel Planner Powered by CellCog\n\n**Real travel planning needs real research — not recycled blog listicles.**\n\n#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.\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 Plan\n\n### Complete Trip Itineraries\n\nDay-by-day plans with logistics:\n\n- **City Trips**: \"Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture\"\n- **Multi-City Tours**: \"Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini\"\n- **Business + Leisure**: \"Plan a week in Singapore — 3 days of meetings, 4 days exploring\"\n- **Family Vacations**: \"Plan a 10-day family trip to Costa Rica with kids ages 6 and 10\"\n- **Budget Travel**: \"Plan a backpacking route through Southeast Asia for 3 weeks under $2,000\"\n\n**Example prompt:**\n> \"Plan a 7-day trip to Japan:\n> \n> Travelers: Couple, late 20s, first time in Japan\n> Dates: April 5-12, 2026 (cherry blossom season)\n> Interests: Food (especially ramen and sushi), temples, photography, some nightlife\n> Budget: Mid-range ($200-300/day for two)\n> Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)\n> \n> Include: Day-by-day itinerary, restaurant recommendations, transport between cities\n> (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips\n> for navigating without Japanese.\n> \n> Deliver as a beautiful PDF I can reference on my phone.\"\n\n### Travel Research\n\nDeep-dive research before you book:\n\n- **Destination Comparison**: \"Compare Bali vs. Thailand for a 2-week December honeymoon\"\n- **Visa Research**: \"What visa requir"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"travel-planning-cellcog\",\n  \"version\": \"1.0.16\",\n  \"publishedAt\": 1787537084892\n}"},{"path":"skill-card.md","content":"## Description:\n\nAI travel planning and itinerary generation powered by CellCog for travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, PDFs, and interactive dashboards.\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 agent operators use this skill to ask CellCog for researched itineraries, destination comparisons, visa and safety research, budget estimates, packing lists, and travel logistics tailored to dates, budget, interests, and constraints.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup uses mutable third-party package or skill installation commands that can change behavior over time.\n\nMitigation: Install only when the CellCog publisher is trusted, prefer pinned versions or verified sources, and review the installed package before use.\n\nRisk: The skill requires CELLCOG_API_KEY and may operate in an environment containing unrelated credentials or sensitive local files.\n\nMitigation: Use a scoped CellCog API key, keep unrelated credentials and sensitive local files out of the execution environment, and avoid submitting sensitive travel data unless appropriate.\n\n## Reference(s):\n\n- [ClawHub Travel Planning Skill](https://clawhub.ai/cellcog/skills/travel-planning-cellcog)\n- [CellCog Homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Files, Guidance]\n\n**Output Format:** [Travel plans, research summaries, Markdown, PDF itineraries, and interactive HTML dashboards]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; outputs depend on requested trip details and selected CellCog mode or tier.]\n\n## Skill Version(s):\n\n1.0.16 (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 travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards. Skill: Travel Planning Owner: cellcog Summary: AI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards. 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