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Aggregate your digital footprint into a live AI-readable personal context profile.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "personal-context" yet — see the docs or source repo.
Please read my personal-context and write a conference-style self-introduction in English within 120 words, highlighting my technical focus and representative projects based on my GitHub, blog, and resume.
A concise self-introduction grounded in the user's real background, emphasizing skills, experience, and standout projects.
Based on my personal-context, answer this: what are my top three technical strengths? For each one, include the project or experience that supports your conclusion.
An evidence-based summary of the user's key technical strengths with supporting sources.
Read my personal-context and create a tailored application summary for an 'AI Product Engineer' role in English, including three bullet points each for matching skills, relevant projects, and differentiators.
A role-tailored application summary based on the user's real experience, ready for resumes or cover letters.
Connect personal platform data for more personalized, context-aware AI interactions.
Securely store and reuse personal details for faster AI-assisted work.
Provide a personal documentation index to agents and IDEs over MCP HTTP.
Provide local developer context to AI agents for faster, safer initialization.
Query a portfolio corpus for writings, projects, and benchmarks without web scraping.
Index personal documents and query them privately through a local MCP RAG tool.