{"id":"ec838522-4e50-43e6-8b3d-27a9e698e1a6","entityType":"agent","slug":"clawhub-cellcog-resume-cover-letter-cellcog","name":"Resume","canonicalUrl":"https://www.xpersona.co/agent/clawhub-cellcog-resume-cover-letter-cellcog","canonicalPath":"/agent/clawhub-cellcog-resume-cover-letter-cellcog","generatedAt":"2026-10-10T04:43:38.838Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T11:49:48.647Z","emptyReason":null},"description":"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing. Skill: Resume Owner: cellcog Summary: AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. 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ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\n\nTags: latest:1.0.16\n\nVersion history:\n\nv1.0.16 | 2026-08-24T02:01:58.011Z | user\n\nContent updated.\n\nv1.0.15 | 2026-08-24T01:46:27.925Z | user\n\nContent updated.\n\nv1.0.14 | 2026-08-03T06:06:41.786Z | user\n\nContent updated.\n\nv1.0.13 | 2026-08-02T22:03:36.736Z | user\n\nDisplay title updated.\n\nv1.0.12 | 2026-07-17T03:41:58.676Z | auto\n\n- Skill renamed from \"resume-cog\" to \"resume-cover-letter-cellcog\" for clarity.\n- Updated documentation to reflect the new skill name and better highlight resume and cover letter features.\n- Removed deprecated file: skill-card.md.\n- No functionality changes to the core AI resume/cover letter generation features.\n\nv1.0.11 | 2026-04-23T06:19:24.958Z | auto\n\n- Added explicit requirements for Python 3 and the CELLCOG_API_KEY environment variable in skill metadata.\n- No changes to functionality or usage instructions.\n\nv1.0.10 | 2026-04-14T17:33:04.604Z | auto\n\n- Updated SKILL.md for clarity and conciseness, particularly in the description and setup sections.\n- Simplified installation instructions and clarified steps for different agent providers.\n- Improved section on usage examples and agent modes.\n- Removed promotional language and dense marketing copy for easier reading.\n- No functional or code-level changes; documentation update only.\n\nv1.0.9 | 2026-04-13T01:01:29.939Z | auto\n\n- Improved SKILL description for clarity and emphasis on AI-driven, research-first approach.\n- Updated usage example for Cursor/Claude Code to include import and initialization details.\n- Refined messaging throughout to highlight professional, personalized document generation (not template-based).\n- No changes to core functionality; documentation improvements only.\n\nv1.0.8 | 2026-04-12T23:36:11.410Z | auto\n\n- Shortened and simplified the skill description for clarity.\n- Reorganized and condensed the setup instructions, with clearer agent-specific guidance.\n- Added an \"If CellCog is not installed\" section for faster onboarding.\n- Removed some introductory and redundant content to improve readability.\n- Kept all usage examples, document options, and practical tips in a more concise format.\n\nv1.0.7 | 2026-04-08T05:58:41.540Z | auto\n\n- Major rewrite of SKILL.md for improved clarity and detail.\n- Expanded feature descriptions with concrete use cases and prompt examples for resumes, cover letters, LinkedIn, portfolios, and more.\n- Emphasized CellCog’s research-first approach, ATS-optimization, and custom design capability.\n- Added comparison table versus generic resume builders.\n- Included practical resume tips, output format guidance, and usage recommendations for chat modes.\n\nv1.0.6 | 2026-04-06T05:07:53.262Z | auto\n\n- Shortened and simplified the description for clarity and broader use cases.\n- Added a \"What CellCog Has Internally\" section to highlight key internal features.\n- Streamlined the \"What Career Documents You Can Create\" section for quicker reading.\n- Removed detailed usage examples, tips, and comparison tables for a more concise documentation style.\n- Added a \"Related Skills\" section for easier discovery of similar tools.\n\nv1.0.5 | 2026-04-03T01:44:09.219Z | auto\n\n- Added OpenClaw-specific usage instructions, including `notify_session_key` and guidance for fire-and-forget agent use.\n- Clarified SDK usage examples, separating instructions for OpenClaw agents and other agents.\n- Tidied SDK reference links and consolidated callout to the main cellcog skill for full API details.\n\nv1.0.4 | 2026-04-03T00:08:32.643Z | auto\n\n- Simplified the \"Quick pattern\" section to \"Quick start\" with updated sample code and usage notes.\n- Added explicit reference to the cellcog mothership skill for complete API documentation and advanced options.\n- Minor improvements to clarity and onboarding instructions for new users.\n- No changes to core features or functionality.\n\nv1.0.3 | 2026-04-02T03:34:13.028Z | auto\n\n- Updated DeepResearch Bench ranking date from Feb 2026 to Apr 2026 in the description and documentation.\n- No functional or usage changes; documentation and positioning update only.\n\nv1.0.2 | 2026-03-27T04:18:00.578Z | auto\n\n- Revamped the skill description for clarity and conciseness.\n- Added `os` support details and a homepage link to metadata.\n- No changes to features or usage, but documentation is now more accessible and easier to understand.\n- Improved discoverability and professional appeal with updated wording.\n- No breaking changes; all previous usage patterns remain valid.\n\nv1.0.1 | 2026-03-20T19:08:06.066Z | user\n\n- Added support and documentation for generating resumes in both PDF and DOCX formats.\n- Updated descriptions to clarify DOCX (Word) export is available for ATS compatibility.\n- Improved guidance on choosing between PDF and DOCX formats for different career needs.\n- No code or dependency changes; documentation only.\n\nv1.0.0 | 2026-02-17T23:04:51.169Z | user\n\nInitial release of resume-cog, an AI-powered resume and career document builder:\n\n- Builds professional, ATS-optimized resumes, cover letters, LinkedIn profiles, and portfolios tailored to target roles.\n- Utilizes CellCog for deep research, industry-specific optimization, and state-of-the-art PDF design.\n- Supports prompts for various scenarios: career changes, executive roles, academic CVs, entry-level and more.\n- Integrates with the cellcog skill; requires cellcog SDK setup for operation.\n- Offers chat-based interface for creating single documents or complete career packages.\n\nArchive index:\n\nArchive v1.0.16: 3 files, 4655 bytes\n\nFiles: skill-card.md (2164b), SKILL.md (6652b), _meta.json (147b)\n\nFile v1.0.16:SKILL.md\n\n---\nname: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Resumes and cover letters | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Career strategy with multiple role-specific variants | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most resume work 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 resume work.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.16\",\n  \"publishedAt\": 1787536918011\n}\n\nFile v1.0.16:skill-card.md\n\n## Description:\n\nAI resume and cover letter generation powered by CellCog for ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX.\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 career-focused agents use this skill to create and refine resumes, CVs, cover letters, LinkedIn profile text, and portfolio documents tailored to target roles.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup commands may install an unpinned CellCog package or skill release.\n\nMitigation: Install from trusted sources, prefer a pinned or reviewed release, and use a virtual environment where practical.\n\nRisk: Resume, LinkedIn, and career details may be sent to CellCog during API-backed document generation.\n\nMitigation: Share only information the user is comfortable sending to CellCog and avoid unnecessary sensitive personal details.\n\nRisk: CELLCOG_API_KEY is required for operation and could expose account access if mishandled.\n\nMitigation: Store the API key in the environment or a secrets manager and avoid placing it in prompts, generated files, or logs.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog)\n- [CellCog Homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, files]\n\n**Output Format:** [Markdown guidance with Python examples and generated career documents such as PDF or DOCX when requested through CellCog.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY for CellCog API-backed generation.]\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, 4523 bytes\n\nFiles: skill-card.md (1795b), SKILL.md (6635b), _meta.json (147b)\n\nFile v1.0.15:SKILL.md\n\n---\nname: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Choosing Mode & Tier\n\n| Scenario | Recommended |\n|----------|-------------|\n| Resumes and cover letters | `chat_mode=\"agent\"` (defaults to the `\"flash\"` tier) |\n| Career strategy with multiple role-specific variants | `chat_mode=\"agent\", chat_tier=\"max\"` |\n\n**The flash tier is the default and handles most resume work 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 resume work.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.15\",\n  \"publishedAt\": 1787535987925\n}\n\nFile v1.0.15:skill-card.md\n\n## Description:\n\nAI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents - PDF or DOCX. Research-first approach that analyzes target roles before writing.\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 prompt CellCog to create or optimize resumes, CVs, cover letters, LinkedIn profiles, and portfolio documents for specific career targets.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Resume and cover-letter prompts can include sensitive personal, employment, or recruiting information that may be processed through CellCog.\n\nMitigation: Redact confidential details where possible and review CellCog's data-handling terms before sending sensitive material.\n\n## Reference(s):\n\n- [Resume skill page on ClawHub](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog)\n- [CellCog homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [Markdown with inline Python and shell code blocks; generated career documents may be requested as PDF or DOCX.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY for CellCog API use.]\n\n## Skill Version(s):\n\n1.0.15 (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 v1.0.14: 3 files, 4576 bytes\n\nFiles: skill-card.md (2378b), SKILL.md (6463b), _meta.json (147b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1785737201786\n}\n\nFile v1.0.14:skill-card.md\n\n## Description: <br>\nAI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents -- PDF or DOCX. Research-first approach that analyzes target roles before writing. <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, employees, and agents use this skill to create ATS-oriented resumes, CVs, cover letters, LinkedIn profile text, and career portfolio documents with CellCog. It is intended for role-specific career document generation where the user provides accurate experience, target role, format, and design preferences. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Resume and cover-letter prompts may include sensitive personal employment details that are sent through CellCog using the user's CELLCOG_API_KEY. <br>\nMitigation: Review CellCog privacy and data-handling terms before use, and avoid sending unnecessary sensitive personal information. <br>\nRisk: Generated career documents may overstate, omit, or misframe user experience if the source details are incomplete or inaccurate. <br>\nMitigation: Have the user review all generated resumes, CVs, cover letters, and profile text for factual accuracy before submission. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog) <br>\n- [CellCog](https://cellcog.ai) <br>\n- [CellCog publisher profile](https://clawhub.ai/user/cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python examples and generated career-document content through CellCog] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May produce PDF or DOCX career documents through CellCog when requested by the user.] <br>\n\n## Skill Version(s): <br>\n1.0.14 (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 v1.0.13: 3 files, 4514 bytes\n\nFiles: skill-card.md (2228b), SKILL.md (6388b), _meta.json (147b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1785708216736\n}\n\nFile v1.0.13:skill-card.md\n\n## Description: <br>\nAI resume and cover letter generation powered by CellCog for ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX formats. <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 job seekers and career professionals use this skill to generate or improve resumes, CVs, cover letters, LinkedIn profiles, and portfolio documents tailored to target roles. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Career materials may include sensitive personal, employment, education, and contact details that could be processed by CellCog. <br>\nMitigation: Share only information needed for the requested document and review CellCog's privacy and retention terms before submitting confidential material. <br>\nRisk: Generated resumes or cover letters may overstate qualifications if source details are vague or unchecked. <br>\nMitigation: Provide accurate achievements and metrics, then review the final document for factual accuracy before use. <br>\n\n\n## Reference(s): <br>\n- [CellCog Homepage](https://cellcog.ai) <br>\n- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog) <br>\n- [CellCog Publisher Profile](https://clawhub.ai/user/cellcog) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown guidance with Python examples and setup commands; generated career documents may be requested as PDF or DOCX.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; supports darwin, linux, and windows according to ClawHub metadata.] <br>\n\n## Skill Version(s): <br>\n1.0.13 (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 v1.0.12: 3 files, 4400 bytes\n\nFiles: skill-card.md (1922b), SKILL.md (6388b), _meta.json (147b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1784259718676\n}\n\nFile v1.0.12:skill-card.md\n\n## Description: <br>\nAI resume and cover letter generation powered by CellCog for ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX, using a research-first approach that analyzes target roles before writing. <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 create ATS-oriented resumes, CVs, cover letters, LinkedIn profile text, and portfolio documents with CellCog. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Resume and career details provided to the skill may be sensitive and are sent to CellCog. <br>\nMitigation: Provide only information you are comfortable sharing with CellCog, and avoid unnecessary sensitive information such as home addresses, government IDs, private employer data, or confidential metrics unless you have permission to share them. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/nitishgargiitd/skills/resume-cover-letter-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] <br>\n**Output Format:** [Markdown with Python examples and setup commands] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May produce PDF or DOCX career documents through CellCog when requested.] <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, 4554 bytes\n\nFiles: skill-card.md (2241b), SKILL.md (6360b), _meta.json (147b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: resume-cog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume Cog - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1776925164958\n}\n\nFile v1.0.11:skill-card.md\n\n## Description: <br>\nAI resume and cover letter generation powered by CellCog, including ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX formats. <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>\nJob seekers, career coaches, and agents use this skill to create or improve resumes, CVs, cover letters, LinkedIn profile text, and portfolio documents for specific target roles. It is especially oriented toward ATS-friendly career materials that use provided work history, education, skills, metrics, and design preferences. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Resume, employment, education, and career details may be sent to CellCog while using the skill. <br>\nMitigation: Avoid unnecessary sensitive details such as full addresses, government IDs, confidential employer data, or compensation information. <br>\nRisk: The skill requires a CELLCOG_API_KEY, which could be exposed through prompts, logs, or shared configuration. <br>\nMitigation: Use a dedicated CellCog API key when possible and rotate the key if it is exposed. <br>\n\n\n## Reference(s): <br>\n- [ClawHub Resume Cog package](https://clawhub.ai/nitishgargiitd/resume-cog) <br>\n- [CellCog](https://cellcog.ai) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance] <br>\n**Output Format:** [Markdown guidance with Python snippets and setup commands; generated career documents may be requested as PDF or DOCX.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires Python 3 and CELLCOG_API_KEY; supports darwin, linux, and windows according to ClawHub metadata.] <br>\n\n## Skill Version(s): <br>\n1.0.11 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.10: 2 files, 3293 bytes\n\nFiles: SKILL.md (6295b), _meta.json (147b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: resume-cog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\nmetadata:\n  openclaw:\n    emoji: \"📝\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Resume Cog - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1776187984604\n}\n\nArchive v1.0.9: 2 files, 3321 bytes\n\nFiles: SKILL.md (6371b), _meta.json (146b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: resume-cog\ndescription: \"AI resume builder and cover letter writer powered by CellCog. Create ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents — PDF or DOCX. Research-first approach: analyzes target roles before writing. Professional, personalized design — not template-stuffed. #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# Resume Cog - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1776042089939\n}\n\nArchive v1.0.8: 2 files, 3212 bytes\n\nFiles: SKILL.md (6129b), _meta.json (146b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: resume-cog\ndescription: \"Powered by CellCog. Resume and cover letter generation. ATS-optimized resumes, CVs, cover letters, and career documents — PDF or DOCX. Analyzes target roles before writing for personalized content.\"\nmetadata:\n  openclaw:\n    emoji: \"📝\"\n    os: [darwin, linux, windows]\nauthor: CellCog\nhomepage: https://cellcog.ai\ndependencies: [cellcog]\n---\n# Resume Cog - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\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\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1776036971410\n}\n\nArchive v1.0.7: 2 files, 3226 bytes\n\nFiles: SKILL.md (6209b), _meta.json (146b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: resume-cog\ndescription: \"AI resume builder and cover letter writer powered by CellCog. Create ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents — PDF or DOCX. Research-first approach: analyzes target roles before writing. Professional, personalized design — not template-stuffed. #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# Resume Cog - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Career Change**: \"Write a cover letter explaining my transition from consulting to product\"\n- **Internal Transfer**: \"Draft an internal transfer letter for moving from engineering to product\"\n\n**Example prompt:**\n> \"Write a compelling cover letter for:\n> \n> Applicant: Sarah Chen (use the resume we just created)\n> Target: Senior Product Manager at Notion\n> \n> Key angles:\n> - My experience building collaboration tools at Slack is directly relevant\n> - I'm passionate about Notion's mission of making tools that feel like your own\n> - Highlight the payments platform growth at Stripe as evidence of scaling ability\n> \n> Tone: Professional but authentic, not corporate-speak.\"\n\n### LinkedIn Optimization\n\nOptimize your professional presence:\n\n- **Profile Rewrite**: \"Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles\"\n- **About Section**: \"Create a compelling LinkedIn About section based on my resume\"\n- **Experience Bullets**: \"Transform my resume bullets into LinkedIn-style achievement descriptions\"\n\n### Portfolio Documents\n\nShowcase your work:\n\n- **Case Studies**: \"Create a product management case study document from my Stripe experience\"\n- **Design Portfolios**: \"Build a portfolio PDF showcasing my top 5 UX projects\"\n- **Writing Samples**: \"Format my blog posts into a professional writing portfolio\"\n\n---\n\n## Why CellCog for Resumes?\n\n| Generic Resume Builders | CellCog Resume Cog |\n|------------------------|-------------------|\n| Pick a template, fill in blanks | Researches your target role first |\n| Same advice for everyone | Tailored to specific companies and industries |\n| Basic ATS keyword stuffing | Deep understanding of what ATS systems scan for |\n| Template designs | State-of-the-art PDF generation, custom every time |\n| Text only | Can include charts, visual elements, custom layouts |\n\n---\n\n## Chat Mode for Resumes\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Single resume or cover letter | `\"agent\"` |\n| Complete career package (resume + cover letter + LinkedIn + portfolio) | `\"agent\"` |\n| Career strategy with multiple role-specific resume variants | `\"agent team\"` |\n\n**Use `\"agent\"` for most resume work.** It handles individual documents and even multi-document packages excellently.\n\n---\n\n## Tips for Better Resumes\n\n1. **Provide real details**: Don't say \"I worked on projects\" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.\n\n2. **Name the target role**: \"Resume for a PM\" is vague. \"Resume targeting Senior PM roles at B2B SaaS companies in fintech\" gives CellCog direction.\n\n3. **Include metrics**: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.\n\n4. **Specify design preferences**: \"Modern and minimal\", \"traditional corporate\", \"creative with color\" — or let CellCog choose based on your industry.\n\n5. **Choose your format**: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1775627921540\n}","readmeExcerpt":"Skill: Resume Owner: cellcog Summary: AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing. Tags: latest:1.0.16 Version history: v1.0.16 | 2026-08-24T02:01:58.011Z | user Content updated. v1.0.15 | 2026-08-24T01:46:27.925Z | user Content updated. v1.0.14 ","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: resume-cover-letter-cellcog\ndescription: \"AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.\"\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# Resume & Cover Letter - AI Resume Builder Powered by CellCog\n\n**7 seconds.** That's how long the average recruiter spends on your resume. CellCog makes every second count.\n\n#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.\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 Create\n\n### Resumes & CVs\n\nBuild resumes that pass ATS filters and impress humans:\n\n- **Modern Resumes**: \"Create a modern, ATS-friendly resume for a senior product manager\"\n- **Career Change Resumes**: \"Build a resume that positions my finance background for a tech PM role\"\n- **Academic CVs**: \"Create a detailed academic CV for a postdoc in computational biology\"\n- **Executive Resumes**: \"Design an executive resume for a VP of Engineering with 15 years experience\"\n- **Entry-Level Resumes**: \"Build a compelling resume for a recent CS graduate with internship experience\"\n\n**Example prompt:**\n> \"Create an ATS-optimized resume for:\n> \n> Name: Sarah Chen\n> Target Role: Senior Product Manager at a B2B SaaS company\n> \n> Experience:\n> - Stripe (2021-present): Led payments platform, grew merchant revenue 40%\n> - Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR\n> - Microsoft (2016-2018): Associate PM on Azure DevOps\n> \n> Education: Stanford MBA, UC Berkeley CS\n> Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing\n> \n> Clean, modern design with blue accents. Highlight metrics and impact.\"\n\n### Cover Letters\n\nCompelling cover letters that complement your resume:\n\n- **Role-Specific**: \"Write a cover letter for the Senior PM position at Notion\"\n- **Care"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"resume-cover-letter-cellcog\",\n  \"version\": \"1.0.16\",\n  \"publishedAt\": 1787536918011\n}"},{"path":"skill-card.md","content":"## Description:\n\nAI resume and cover letter generation powered by CellCog for ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX.\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 career-focused agents use this skill to create and refine resumes, CVs, cover letters, LinkedIn profile text, and portfolio documents tailored to target roles.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup commands may install an unpinned CellCog package or skill release.\n\nMitigation: Install from trusted sources, prefer a pinned or reviewed release, and use a virtual environment where practical.\n\nRisk: Resume, LinkedIn, and career details may be sent to CellCog during API-backed document generation.\n\nMitigation: Share only information the user is comfortable sending to CellCog and avoid unnecessary sensitive personal details.\n\nRisk: CELLCOG_API_KEY is required for operation and could expose account access if mishandled.\n\nMitigation: Store the API key in the environment or a secrets manager and avoid placing it in prompts, generated files, or logs.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog)\n- [CellCog Homepage](https://cellcog.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, files]\n\n**Output Format:** [Markdown guidance with Python examples and generated career documents such as PDF or DOCX when requested through CellCog.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY for CellCog API-backed generation.]\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 resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing. Skill: Resume Owner: cellcog Summary: AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing. 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