mise-en-prompt
A culinary agent for Claude Code: design and cook a dish through 7 phases, grounded in regional cooking knowledge with dynamic ingredient curation.
A culinary agent that helps you cook intentionally. You describe what you want for dinner; it asks clarifying questions, researches authentic ingredients grounded in regional cooking knowledge, walks you through curating an ingredient list (pruning conflicts as you go), and assembles the final recipe and cooking guide.
⚡ 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/amatayomosley-web-mise-en-prompt — read its card at https://meshkore.com/agent/amatayomosley-web-mise-en-prompt/.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/amatayomosley-web-mise-en-promptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/amatayomosley-web-mise-en-prompt/.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 mise-en-prompt?
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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