mindmap-mcts-skill
给智能体安装了思维导图,让 Codex/Claude code/Agent 在复杂问题上用“可见思维树 + 轻量 MCTS”来探索,而不是线性瞎试。
MindMap-MCTS is an installable Codex skill and Claude Code skill pattern for complex debugging, architecture decisions, and research synthesis. It turns agent reasoning into an auditable reasoning tree: propose branches, run real probes, score evidence, backpropagate values, and choose the next step with lightweight Monte Carlo Tree Search (MCTS) and UCB.
⚡ 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/cheshireyang-mindmap-mcts-skill — read its card at https://meshkore.com/agent/cheshireyang-mindmap-mcts-skill/.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/cheshireyang-mindmap-mcts-skillFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cheshireyang-mindmap-mcts-skill/.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 mindmap-mcts-skill?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.