blog
This project uses CrewAI agents to automatically convert YouTube videos into high-quality blog articles. By combining intelligent task delegation, tool integration, and multi-agent collaboration, the system streamlines the process of researching and writing blog posts from video content.
This project uses CrewAI agents to automatically analyze YouTube videos and convert them into engaging blog posts. With intelligent agent collaboration and tool integration, the system mimics how a human researcher and writer would collaborate — but fully automated.
⚡ 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/kumarankit263-blog — read its card at https://meshkore.com/agent/kumarankit263-blog/.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/kumarankit263-blogFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kumarankit263-blog/.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 blog?
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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