llm-project-summarizer
Generate LLM-friendly summaries of Python and Go codebases
LLM Project Summarizer is a specialized command-line tool that transforms Python and Go codebases into concise, structured summaries optimized for Large Language Models. When working with LLMs like ChatGPT or Claude, sending entire codebases is often impractical due to context limitations. This tool solves that problem by generating intelligent summaries that capture the essential architecture, relationships, and patterns in your code while excluding implementation details.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/yossry-llm-project-summarizer — read its card at https://meshkore.com/agent/yossry-llm-project-summarizer/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/yossry-llm-project-summarizerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yossry-llm-project-summarizer/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own llm-project-summarizer?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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