Agent skill

Maestro Knowledge

by catlog22 in catlog22/maestro-flow

Intent-driven knowledge-store and Run knowledge lifecycle management — read-only audit/prune reports, stage candidates (with signal recording), review/resolve/promote candidates, harvest artifacts…

No licenceAuto-check: notesMobile

Install Maestro Knowledge

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

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

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro-knowledge --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-knowledge .claude/skills/maestro-knowledge && 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-knowledge
GitHub stars
563
Token cost
~1.9k tokens
SKILL.md length
813 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Intent-driven knowledge-store and Run knowledge lifecycle management — read-only audit/prune reports, stage candidates (with signal recording), review/resolve/promote candidates, harvest artifacts…

  • Works in 5 steps: Explicit keyword present → use its… → Otherwise infer from the intent (see the… → review / stage / promote map directly to… → …
  • Tasks that involve Mobile testing and debugging
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Maestro Knowledge is an agent skill from catlog22/maestro-flow. Intent-driven knowledge-store and Run knowledge lifecycle management — read-only audit/prune reports, stage candidates (with signal recording), review/resolve/promote candidates, harvest artifacts, or manage wiki/domain knowledge.

Its SKILL.md is about 1.9k 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. 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

  • Tasks that involve Mobile testing and debugging

Example prompts

  • “/maestro-knowledge”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Edit, Glob, Grep, Read, WebFetch, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, wait_agent

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Explicit keyword present → use its execution document or direct CLI lifecycle command (deterministic shortcut).
  2. Otherwise infer from the intent (see the table above), e.g. "审计/检查知识库" → audit, "从工件/session 提取" → harvest, "知识图谱/wiki 健康" → wiki, "注册术语…
  3. review / stage / promote map directly to the corresponding maestro knowledge CLI. review --refresh includes reconciliation; review…
  4. For wiki, classify the sub-action: connect/连接 → ~/.maestro/workflows/wiki-connect.md; digest/摘要 → ~/.maestro/workflows/wiki-digest.md…
  5. Ambiguous → display the operation table and ask the user to pick.

What it can do on your machine

Read from SKILL.md and the folder at commit 6b18789. 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
    • WebFetch
    • Write
    • followup_task
    • interrupt_agent
    • list_agents

    …and 5 more on the same allowed-tools line.

    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 Knowledge loads about 1.9k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 813 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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, WebFetch, Write, followup_task, interrupt_agent, list_agents, request_

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 813 words (~1,887 tokens).

“Intent-driven knowledge-store management. No fixed grammar — state your intent; the command classifies it and runs the matching workflow or direct lifecycle command. Explicit keywords still work as deterministic shortcuts.”

— opening of SKILL.md by catlog22
name
maestro-knowledge
allowed-tools
Bash, Edit, Glob, Grep, Read, WebFetch, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, wait_agent
disable-model-invocation
false
argument-hint
[intent — e.g. '审计知识库' | 'harvest 这个 session' | 'wiki health' | '注册术语 MVP' | 'extractors']
session-mode
none
version
0.5.89

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 6b18789

Compare with similar skills

Maestro Knowledge 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 Knowledge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro Knowledge this skillcatlog22/maestro-flow563—~1.9kAutomated 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 Knowledge

What does Maestro Knowledge do?

Intent-driven knowledge-store and Run knowledge lifecycle management — read-only audit/prune reports, stage candidates (with signal recording), review/resolve/promote candidates, harvest artifacts…. Maestro Knowledge is an agent skill from catlog22/maestro-flow. Intent-driven knowledge-store and Run knowledge lifecycle management — read-only audit/prune reports, stage candidates (with signal recording), review/resolve/promote candidates, harvest artifacts, or manage wiki/domain knowledge.

When should I use Maestro Knowledge?

Maestro Knowledge fits situations like: tasks that involve Mobile testing and debugging.

How do I install Maestro Knowledge in Claude Code?

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

How do I install Maestro Knowledge in Codex?

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

Can I use Maestro Knowledge 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-knowledge -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-knowledge, .gemini/skills/maestro-knowledge, .github/skills/maestro-knowledge and .opencode/skills/maestro-knowledge in your project.

What does Maestro Knowledge need to run?

SKILL.md names no scripts, command-line tools or credentials: Maestro Knowledge is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Edit, Glob, Grep, Read, WebFetch, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, wait_agent.

Does Maestro Knowledge 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 Knowledge 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 Knowledge use?

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

How many tokens does Maestro Knowledge use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Knowledge?

Skills that share tags, products or a category with Maestro Knowledge: 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 Knowledge?

catlog22 (a GitHub user) maintains it in catlog22/maestro-flow, which has 563 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.