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, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
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 endpoint FROM the card directly (we never proxy)
curl -X POST / -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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