Trellis Session Insight
mindfold-ai/Trellis
Reach into past AI conversation history through the trellis mem CLI.
Run a visible reasoning-tree workflow with lightweight MCTS for complex Codex or Claude Code tasks.
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mcts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mindmap-mcts .claude/skills/mindmap-mcts && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .claude/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mctsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mcts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mindmap-mcts .agents/skills/mindmap-mcts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .agents/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mcts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mindmap-mcts .cursor/skills/mindmap-mcts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .cursor/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cheshireyang/mindmap-mcts-skill.git --path mindmap-mcts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mcts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mindmap-mcts .gemini/skills/mindmap-mcts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .gemini/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mctsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/mindmap-mcts .github/skills/mindmap-mcts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .github/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cheshireyang/mindmap-mcts-skill mindmap-mcts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cheshireyang/mindmap-mcts-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mindmap-mcts .opencode/skills/mindmap-mcts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mindmap-mcts" agent skill from https://github.com/cheshireyang/mindmap-mcts-skill/tree/main/mindmap-mcts into .opencode/skills/mindmap-mcts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindmap-mcts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mindmap-mctsRun a visible reasoning-tree workflow with lightweight MCTS for complex Codex or Claude Code tasks.
Mindmap Mcts is an agent skill from cheshireyang/mindmap-mcts-skill. Run a visible reasoning-tree workflow with lightweight MCTS for complex Codex or Claude Code tasks. Use when a task has multiple plausible hypotheses or designs, needs systematic debugging, requires option tradeoff exploration, involves repeated trial-and-error, or the user asks for a mindmap, reasoning tree, MCTS, visible exploration, branch evaluation, or evidence-backed problem solving.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `agents/openai.yaml`, `scripts/mindmap.py` and `scripts/mindmap_mcts/__init__.py`).
It sits in Development, covering Debugging. The repository describes itself as: 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。 The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 74ba5a5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 9 files in scripts/ (Python, Batch and PowerShell), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mindmap Mcts loads about 1.9k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 683 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from cheshireyang/mindmap-mcts-skill at commit 74ba5a5, republished under its MIT licence (© cheshireyang). 683 words, ~1,948 tokens.
.claude/skills/mindmap-mcts/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Use this skill to keep complex work on a visible, evidence-backed reasoning tree. The bundled CLI owns the JSON truth source, UCB selection, backpropagation, markdown rendering, static HTML rendering, and interactive Markmap HTML rendering; the agent owns expansion, real probes, and judgment.
Choose the command form that matches the current shell. First set the skill directory for the host that loaded this skill.
Codex on Unix shells:
export MINDMAP_MCTS_SKILL_DIR="${CODEX_HOME:-$HOME/.codex}/skills/mindmap-mcts"Claude Code on Unix shells:
export MINDMAP_MCTS_SKILL_DIR="${CLAUDE_HOME:-$HOME/.claude}/skills/mindmap-mcts"Default install locations are $HOME/.codex/skills/mindmap-mcts for Codex and $HOME/.claude/skills/mindmap-mcts for Claude Code.
Linux, macOS, WSL, or Git Bash:
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" --helpCross-platform Python launcher:
python "$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap.py" --helpWindows PowerShell:
# Claude Code:
$env:MINDMAP_MCTS_SKILL_DIR = "$env:USERPROFILE\.claude\skills\mindmap-mcts"
# Codex:
# $env:MINDMAP_MCTS_SKILL_DIR = "$env:USERPROFILE\.codex\skills\mindmap-mcts"
& "$env:MINDMAP_MCTS_SKILL_DIR\scripts\mindmap.ps1" --helpIf PowerShell execution policy blocks .ps1 scripts, run the Python module directly after setting PYTHONPATH:
$env:PYTHONPATH = "$env:MINDMAP_MCTS_SKILL_DIR\scripts;$env:PYTHONPATH"
$env:PYTHONIOENCODING = "utf-8"
[Console]::OutputEncoding = [System.Text.Encoding]::UTF8
python -m mindmap_mcts.cli --helpFor repeated commands in one shell session, define:
alias mindmap='"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap"'If aliases are not preserved by the current shell call, use the explicit launcher form for the current shell.
On Windows, set UTF-8 output before rendering or showing trees that contain Chinese text:
$env:PYTHONIOENCODING = "utf-8"
[Console]::OutputEncoding = [System.Text.Encoding]::UTF8Never hand-edit rendered markdown as the truth source. The .tree.json file is the truth source; .tree.md is only a view.
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" init --title "<task title>" --out <task-name>.tree.jsonThe root node created by init is n1; use --parent n1 for the first child. Do not use root unless a specific tree file already contains a node with that id.
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" show <task-name>.tree.json"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" render <task-name>.tree.json --out <task-name>.tree.md
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" render-markmap <task-name>.tree.json --out <task-name>.markmap.htmlUse render-markmap when the user wants a browser-based visual tree. It produces interactive HTML through Markmap's browser autoloader. The map starts with an Exploration status branch that shows best path, selected frontier, state counts, open frontier nodes, verified nodes, and pruned nodes. In the reasoning tree, completed exploration uses a green ✓, partial exploration uses a yellow ◐, and unopened frontier nodes use a gray ○; no red cross is used. Node titles are bold black, and status stays immediately after the title, for example **n11 事实性与幻觉** (V=0.90 N=1 verified). Use render-html only when a static offline fallback is preferable.
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" next <task-name>.tree.jsonUse this to orient before making new changes to the tree.
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" select <task-name>.tree.json"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" add <task-name>.tree.json --parent <node-id> --type hypothesis --content "<specific hypothesis>"Evaluate each new child using the cheapest real probe available: read code, grep a symbol, run a focused test, inspect a log, or check a config.
Record value and evidence:
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" eval <task-name>.tree.json --id <node-id> --value <0-to-1> --evidence "<short evidence>" --probe-type <test|grep|log|paper|code-read|user-input> --source "<source pointer>" --confidence <low|medium|high>Use --probe-type, --source, and --confidence when a score is backed by a concrete probe. Omit them only when there is no useful structured metadata.
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" prune <task-name>.tree.json --id <node-id> --evidence "<why this branch is ruled out>" --probe-type <test|grep|log|paper|code-read|user-input> --source "<source pointer>" --confidence <low|medium|high>"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" backprop <task-name>.tree.json --from <node-id>"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" render <task-name>.tree.json --out <task-name>.tree.md
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" render-html <task-name>.tree.json --out <task-name>.tree.html
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" render-markmap <task-name>.tree.json --out <task-name>.markmap.html
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" show <task-name>.tree.json
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" path <task-name>.tree.json
"$MINDMAP_MCTS_SKILL_DIR/scripts/mindmap" doctor <task-name>.tree.json0.90 to 1.00: real evidence verifies this path reaches the target.0.60 to 0.80: strong signal, still needs confirmation.0.30 to 0.50: uncertain or neutral signal.0.10 to 0.20: evidence mostly rules this out.0.00: confirmed dead branch; prune it.Prefer real probes over model self-estimates. Evidence such as focused tests, logs, source reads, grep results, or config checks should be recorded directly on the node.
Stop exploring and write an execution plan when one of these is true:
0.85 and key nodes have real evidence.When multiple paths remain close, stop and ask the user to choose. Show the best path, close alternatives, and evidence for each.
When reporting progress, include:
doctor output if the tree was edited by hand or imported from another run.This repository includes evaluation prompts in evals/evals.json. Use them when checking whether the skill actually improves agent behavior on debugging, architecture tradeoff, and research synthesis tasks.
© cheshireyang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts) in mindmap-mcts of cheshireyang/mindmap-mcts-skill.
Open the folder on GitHubat commit 74ba5a5
Mindmap Mcts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mindmap Mcts this skillcheshireyang/mindmap-mcts-skill | 110 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Trellis Session Insightmindfold-ai/Trellis | 15k | 4 repos | ~1.7k | Automated safety check: Pass | AGPL-3.0 | |
| Native Data FetchingCherryHQ/cherry-studio-app | 4k | 6 repos | ~2.9k | Automated safety check: Notes | MIT | |
| Debugging Executionsn8n-io/n8n | 207k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Aoti Debugpytorch/pytorch | 104k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Herdr Throwaway Reproductionherdrdev/herdr | 43k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
mindfold-ai/Trellis
Reach into past AI conversation history through the trellis mem CLI.
CherryHQ/cherry-studio-app
A skill your agent uses when implementing or debugging ANY network request, API call, or data fetching.
n8n-io/n8n
Debug failed or wrong-output workflow executions using executions tools.
pytorch/pytorch
Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.
herdrdev/herdr
Runs a disposable, uniquely named Herdr session inside an existing one so runtime, pane, terminal or API bugs can be reproduced without touching the main session.
ultralisp/ultralisp
A skill your agent uses when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Categories
Run a visible reasoning-tree workflow with lightweight MCTS for complex Codex or Claude Code tasks. Mindmap Mcts is an agent skill from cheshireyang/mindmap-mcts-skill. Run a visible reasoning-tree workflow with lightweight MCTS for complex Codex or Claude Code tasks.
Mindmap Mcts fits situations like: A task has multiple plausible hypotheses; needs systematic debugging; requires option tradeoff exploration; involves repeated trial-and-error.
Run `npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a claude-code`. Or copy the skill folder (mindmap-mcts in cheshireyang/mindmap-mcts-skill) into .claude/skills/mindmap-mcts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a codex`. Or copy the skill folder (mindmap-mcts in cheshireyang/mindmap-mcts-skill) into .agents/skills/mindmap-mcts in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cheshireyang/mindmap-mcts-skill --skill mindmap-mcts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mindmap-mcts, .gemini/skills/mindmap-mcts, .github/skills/mindmap-mcts and .opencode/skills/mindmap-mcts in your project.
Going by SKILL.md and its folder, Mindmap Mcts needs Python, Windows cmd and PowerShell for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; PowerShell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mindmap Mcts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mindmap Mcts: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
cheshireyang (a GitHub user) maintains it in cheshireyang/mindmap-mcts-skill, which has 110 GitHub stars. The repository was last updated on June 24, 2026.
Source: cheshireyang/mindmap-mcts-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.