Agent skill

Maestro Knowhow

by catlog22 in catlog22/maestro-flow

Intent-driven knowhow precipitation — describe what you want to capture (记一个关于X的决策 / 保存这段代码模板 / 写个部署配方 / 存个调试技巧) and the workflow infers the type and records it into .workflow/knowhow/.

No licenceAuto-check: notesMobile

Install Maestro Knowhow

skills CLI
$ npx skills add catlog22/maestro-flow --skill maestro-knowhow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro-knowhow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/catlog22/maestro-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/maestro-knowhow .claude/skills/maestro-knowhow && rm -rf skills-src

Use ~/.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/

Facts

Skill name
maestro-knowhow
GitHub stars
564
Token cost
~589 tokens
SKILL.md length
214 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Intent-driven knowhow precipitation — describe what you want to capture (记一个关于X的决策 / 保存这段代码模板 / 写个部署配方 / 存个调试技巧) and the workflow infers the type and records it into .workflow/knowhow/.

  • Knowhow capture
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Mobile testing and debugging
  • Tasks that involve Architecture decision records

What it does

Maestro Knowhow is an agent skill from catlog22/maestro-flow. Intent-driven knowhow precipitation — describe what you want to capture (记一个关于X的决策 / 保存这段代码模板 / 写个部署配方 / 存个调试技巧) and the workflow infers the type and records it into .workflow/knowhow/. Pure capture surface; knowhow 的管理/审计走 /maestro-knowledge;项目约束规则走 /maestro-spec add。Triggers on "knowhow capture", "知识沉淀", "沉淀经验", "记录模板", "记录决策", "adr", "存个技巧".

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering Mobile testing and debugging and Architecture decision records. The repository describes itself as: Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini….

When your agent uses it

  • Knowhow capture
  • Tasks that involve Mobile testing and debugging
  • Tasks that involve Architecture decision records

Example prompts

  • “knowhow capture”
  • “/maestro-knowhow”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Edit, Glob, Grep, Read, Write, request_user_input

What it can do on your machine

Read from SKILL.md and the folder at commit af37312. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Edit
    • Glob
    • Grep
    • Read
    • Write
    • request_user_input

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Maestro Knowhow loads about 589 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 214 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~589

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Edit, Glob, Grep, Read, Write, request_user_input

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 214 words (~589 tokens).

“Intent-driven knowhow precipitation path (沉淀路径) — captures reusable knowledge into .workflow/knowhow/. No fixed grammar — state your intent; the knowhow step infers the content type and extracts the content. Type keywords still work as deterministic shortcuts:”

— opening of SKILL.md by catlog22
name
maestro-knowhow
allowed-tools
Bash, Edit, Glob, Grep, Read, Write, request_user_input
disable-model-invocation
true
argument-hint
[intent — e.g. '记录一个 JWT 刷新的决策' | 'template 这段重试代码' | 'tip: redis 管道陷阱']
session-mode
none
version
0.5.90

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .codex/skills/maestro-knowhow of catlog22/maestro-flow.

Open the folder on GitHubat commit af37312

Compare with similar skills

Maestro Knowhow 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.

Maestro Knowhow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro Knowhow this skillcatlog22/maestro-flow564—~589Automated safety check: NotesNone
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT
Maa Issue Log AnalysisMaaAssistantArknights/MaaAssistantArknights24k—~4kAutomated safety check: PassAGPL-3.0
Mobile QAtloncorp/tlon-apps107—~2.4kAutomated safety check: PassMIT
Store Listing Screenshotstherxmv/Telegram-Themer119—~2.5kAutomated safety check: PassNone
Maestro ImproveReinaMacCredy/maestro233—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Maestro Knowhow

What does Maestro Knowhow do?

Intent-driven knowhow precipitation — describe what you want to capture (记一个关于X的决策 / 保存这段代码模板 / 写个部署配方 / 存个调试技巧) and the workflow infers the type and records it into .workflow/knowhow/. Maestro Knowhow is an agent skill from catlog22/maestro-flow.workflow/knowhow/.

When should I use Maestro Knowhow?

Maestro Knowhow fits situations like: knowhow capture; tasks that involve Mobile testing and debugging; tasks that involve Architecture decision records.

How do I install Maestro Knowhow in Claude Code?

Run `npx skills add catlog22/maestro-flow --skill maestro-knowhow -a claude-code`. Or copy the skill folder (.codex/skills/maestro-knowhow in catlog22/maestro-flow) into .claude/skills/maestro-knowhow in your project. Claude Code loads it when a task matches its description.

How do I install Maestro Knowhow in Codex?

Run `npx skills add catlog22/maestro-flow --skill maestro-knowhow -a codex`. Or copy the skill folder (.codex/skills/maestro-knowhow in catlog22/maestro-flow) into .agents/skills/maestro-knowhow in your project. Codex loads it when a task matches its description.

Can I use Maestro Knowhow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add catlog22/maestro-flow --skill maestro-knowhow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/maestro-knowhow, .gemini/skills/maestro-knowhow, .github/skills/maestro-knowhow and .opencode/skills/maestro-knowhow in your project.

What does Maestro Knowhow need to run?

SKILL.md names no scripts, command-line tools or credentials: Maestro Knowhow is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Edit, Glob, Grep, Read, Write, request_user_input.

Does Maestro Knowhow access the network?

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.

Is Maestro Knowhow safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Maestro Knowhow use?

No licence was found for Maestro Knowhow or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Maestro Knowhow use?

About 589 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Maestro Knowhow?

Skills that share tags, products or a category with Maestro Knowhow: Phone Harness (ShawnPana/phone-harness, 3.2k stars), Maa Issue Log Analysis (MaaAssistantArknights/MaaAssistantArknights, 24k stars), Mobile QA (tloncorp/tlon-apps, 107 stars) and Store Listing Screenshots (therxmv/Telegram-Themer, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maestro Knowhow?

catlog22 (a GitHub user) maintains it in catlog22/maestro-flow, which has 564 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 7, 2026.

Source: catlog22/maestro-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.