project-to-markdown
Project To Markdown: Project files into structured markdown, optimizing documentation for AI analysis. Enhances AI assistants' performance in understanding project context, featuring both GUI and CLI interfaces. Ideal for improving AI-powered code comprehension and problem-solving.
Project To Markdown is a Python application that converts project files into structured markdown format, optimizing documentation for AI analysis. Designed to enhance the performance of advanced language models like GPT and Claude, it improves the efficiency of AI Retrieval-Augmented Generation (RAG) systems.
⚡ 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/easydevv-project-to-markdown — read its card at https://meshkore.com/agent/easydevv-project-to-markdown/.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/easydevv-project-to-markdownFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/easydevv-project-to-markdown/.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 project-to-markdown?
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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