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Agent skill

Maestro

by catlog22 in catlog22/maestro-flow

Intent-to-chain planner over the canonical Session/Run lifecycle

No licenceAuto-check: notesMobile

Install Maestro

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

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

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro --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 .claude/skills/maestro && 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
GitHub stars
564
Token cost
~2.7k tokens
SKILL.md length
1,181 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Intent-to-chain planner over the canonical Session/Run lifecycle

  • Works in 11 steps: One chain — every task uses the same… → Session before execution — open via… → Creator owns decomposition — Maestro… → …
  • Tasks that involve Mobile testing and debugging
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Maestro is an agent skill from catlog22/maestro-flow. Intent-to-chain planner over the canonical Session/Run lifecycle

Its SKILL.md is about 2.7k 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”

Requirements

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

Workflow steps

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

  1. One chain — every task uses the same Session/Run protocol; no static/dynamic, Maestro/Ralph, or executor-specific Session type.
  2. Session before execution — open via maestro session open "" --id --chain before allocating a step Run.
  3. Creator owns decomposition — Maestro creates boundary_contract and outcome-oriented goals; later orchestrators consume rather than…
  4. Runtime owns mutation — prompt never writes session.json/run.json and never auto-uses admin chain commands.
  5. Skill owns domain adaptation — optional chain changes come only from the current Skill's validated chain-proposal/1.0.
  6. Verdict advances — execution steps advance only through fenced maestro run complete ... --advance --verdict done|done_with_concerns…
  7. Historical similarity remains read-only evidence — it never selects a Session or binds outputs.
  8. Compatibility commands are out of band — normal orchestration calls only maestro run ....
  9. Auto is bounded — -y never bypasses high risk, low confidence, ambiguity, failed gates or drift escalation.
  10. Router is not a step — /maestro-next may route here but never appears inside the chain.
  11. Running means continue — while canonical continuation authority is automatic, execute it and re-read the receipt in the same turn…

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
    • followup_task
    • interrupt_agent
    • list_agents
    • request_user_input

    …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 (its code samples are json).

    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 loads about 2.7k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 1,181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

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, followup_task, interrupt_agent, list_agents, 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 1,181 words (~2,666 tokens).

name
maestro
allowed-tools
Bash, Edit, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, update_plan, wait_agent
disable-model-invocation
false
argument-hint
<intent> [-y] [-c] [--amend]
session-mode
run
contract.discovery
self-described
version
0.5.90

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit af37312

Compare with similar skills

Maestro 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro this skillcatlog22/maestro-flow564—~2.7kAutomated 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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  • Phone Harness

    ShawnPana/phone-harness

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    3.2k GitHub stars~4.3k tokensUpdated 10 days ago
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  • Maa Issue Log Analysis

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  • Mobile QA

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    107 GitHub stars~2.4k tokensUpdated today
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  • Store Listing Screenshots

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  • Maestro Improve

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  • Maestro Help

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  • Maestro Impeccable

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Categories

Questions about Maestro

What does Maestro do?

Intent-to-chain planner over the canonical Session/Run lifecycle. Maestro is an agent skill from catlog22/maestro-flow.

When should I use Maestro?

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

How do I install Maestro in Claude Code?

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

How do I install Maestro in Codex?

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

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

What does Maestro need to run?

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

Does Maestro 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 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 use?

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

How many tokens does Maestro use?

About 2.7k tokens (SKILL.md is roughly 11k 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?

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

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.