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在 OpenClaw 中安装
/install resume-cog
功能描述
AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Resea...
安全使用建议
This skill appears coherent: it will call CellCog's API and needs your CELLCOG_API_KEY and python3. Before installing, verify you trust cellcog.ai and that the API key you provide has only the necessary permissions. Review the separate 'cellcog' SDK/skill (referenced in the instructions) to see how it handles file uploads, local files, and timeouts, because document generation often involves sending your resume text and possibly uploaded files to an external service. Avoid sending highly sensitive personal data unless you're comfortable with that external processing, and rotate the API key if you stop using the skill.
功能分析
Type: OpenClaw Skill
Name: resume-cog
Version: 1.0.11
The resume-cog skill bundle is a documentation-focused package for generating AI-powered resumes and career documents via the CellCog API. It contains no executable code other than standard usage examples for the 'cellcog' Python library and lacks any indicators of data exfiltration, malicious execution, or harmful prompt injection in SKILL.md.
能力标签
能力评估
Purpose & Capability
Name/description (resume and cover-letter generation) align with the SKILL.md which documents use of the CellCog SDK and creating resumes, cover letters, LinkedIn copy, and output formats (PDF/DOCX). Requiring python3 and CELLCOG_API_KEY is proportionate for a Python SDK that calls an external API.
Instruction Scope
SKILL.md contains Python examples showing use of a CellCog client and describes document generation and chat modes. The instructions do not direct the agent to read arbitrary local files or unrelated environment variables. Note: the skill references a separate 'cellcog' SDK/skill for file handling and timeouts — you should review that SDK/skill's instructions (if available) because file upload/handling behavior will depend on it.
Install Mechanism
No install spec and no code files (instruction-only). This is lowest-risk from an install perspective — nothing is downloaded or written to disk by the skill itself.
Credentials
Only one required environment variable (CELLCOG_API_KEY) is declared, which is expected for a hosted API service. No unrelated secrets or multiple unrelated credentials are requested.
Persistence & Privilege
The skill does not request always:true and uses default autonomous invocation behavior, which is normal. It does not ask to modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install resume-cog - 安装完成后，直接呼叫该 Skill 的名称或使用
/resume-cog触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.11
- Added explicit requirements for Python 3 and the CELLCOG_API_KEY environment variable in skill metadata.
- No changes to functionality or usage instructions.
v1.0.10
- Updated SKILL.md for clarity and conciseness, particularly in the description and setup sections.
- Simplified installation instructions and clarified steps for different agent providers.
- Improved section on usage examples and agent modes.
- Removed promotional language and dense marketing copy for easier reading.
- No functional or code-level changes; documentation update only.
v1.0.9
- Improved SKILL description for clarity and emphasis on AI-driven, research-first approach.
- Updated usage example for Cursor/Claude Code to include import and initialization details.
- Refined messaging throughout to highlight professional, personalized document generation (not template-based).
- No changes to core functionality; documentation improvements only.
v1.0.8
- Shortened and simplified the skill description for clarity.
- Reorganized and condensed the setup instructions, with clearer agent-specific guidance.
- Added an "If CellCog is not installed" section for faster onboarding.
- Removed some introductory and redundant content to improve readability.
- Kept all usage examples, document options, and practical tips in a more concise format.
v1.0.7
- Major rewrite of SKILL.md for improved clarity and detail.
- Expanded feature descriptions with concrete use cases and prompt examples for resumes, cover letters, LinkedIn, portfolios, and more.
- Emphasized CellCog’s research-first approach, ATS-optimization, and custom design capability.
- Added comparison table versus generic resume builders.
- Included practical resume tips, output format guidance, and usage recommendations for chat modes.
v1.0.6
- Shortened and simplified the description for clarity and broader use cases.
- Added a "What CellCog Has Internally" section to highlight key internal features.
- Streamlined the "What Career Documents You Can Create" section for quicker reading.
- Removed detailed usage examples, tips, and comparison tables for a more concise documentation style.
- Added a "Related Skills" section for easier discovery of similar tools.
v1.0.5
- Added OpenClaw-specific usage instructions, including `notify_session_key` and guidance for fire-and-forget agent use.
- Clarified SDK usage examples, separating instructions for OpenClaw agents and other agents.
- Tidied SDK reference links and consolidated callout to the main cellcog skill for full API details.
v1.0.4
- Simplified the "Quick pattern" section to "Quick start" with updated sample code and usage notes.
- Added explicit reference to the cellcog mothership skill for complete API documentation and advanced options.
- Minor improvements to clarity and onboarding instructions for new users.
- No changes to core features or functionality.
v1.0.3
- Updated DeepResearch Bench ranking date from Feb 2026 to Apr 2026 in the description and documentation.
- No functional or usage changes; documentation and positioning update only.
v1.0.2
- Revamped the skill description for clarity and conciseness.
- Added `os` support details and a homepage link to metadata.
- No changes to features or usage, but documentation is now more accessible and easier to understand.
- Improved discoverability and professional appeal with updated wording.
- No breaking changes; all previous usage patterns remain valid.
v1.0.1
- Added support and documentation for generating resumes in both PDF and DOCX formats.
- Updated descriptions to clarify DOCX (Word) export is available for ATS compatibility.
- Improved guidance on choosing between PDF and DOCX formats for different career needs.
- No code or dependency changes; documentation only.
v1.0.0
Initial release of resume-cog, an AI-powered resume and career document builder:
- Builds professional, ATS-optimized resumes, cover letters, LinkedIn profiles, and portfolios tailored to target roles.
- Utilizes CellCog for deep research, industry-specific optimization, and state-of-the-art PDF design.
- Supports prompts for various scenarios: career changes, executive roles, academic CVs, entry-level and more.
- Integrates with the cellcog skill; requires cellcog SDK setup for operation.
- Offers chat-based interface for creating single documents or complete career packages.
元数据
常见问题
Resume Cog 是什么？
AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Resea... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 829 次。
如何安装 Resume Cog？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install resume-cog」即可一键安装，无需额外配置。
Resume Cog 是免费的吗？
是的，Resume Cog 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Resume Cog 支持哪些平台？
Resume Cog 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, windows）。
谁开发了 Resume Cog？
由 CellCog（@nitishgargiitd）开发并维护，当前版本 v1.0.11。
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