cheshireyang/mindmap-mcts-skill

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# MindMap-MCTS

Evidence-guided reasoning trees for Codex and Claude Code agents.

![Alpha-style MindMap-MCTS architecture](assets/alpha-style-architecture.png)

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.

In short: this gives AI agents a visible tree search loop instead of a hidden linear trial-and-error thread.

## Search Keywords

Codex skill, Claude Code skill, AI agents, agentic AI, agent reasoning, reasoning tree, evidence-guided reasoning, tree search, Monte Carlo Tree Search, MCTS, UCB, debugging workflow, planning workflow, architecture tradeoffs, research synthesis.

中文摘要：MindMap-MCTS 给 Codex、Claude Code 和其他智能体安装一个可见的推理树，让复杂问题可以用“分支探索、证据评分、MCTS/UCB 选择、回传更新”的方式推进，而不是线性瞎试。

## What It Does

- Creates a JSON reasoning tree as the truth source.
- Renders readable Markdown, static HTML, and interactive Markmap HTML mindmap views.

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