Agent skill

Maestro Learn

by catlog22 in catlog22/maestro-flow

User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions.

No licenceAuto-check: notesMobile

Install Maestro Learn

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

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

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro-learn --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-learn .claude/skills/maestro-learn && 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-learn
GitHub stars
563
Token cost
~7.1k tokens
SKILL.md length
2,884 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions.

  • Works in 7 steps: Read-only traversal — NEVER modify… → Forcing questions mandatory — each… → Anchor requirement — every extracted… → …
  • Tasks that involve Mobile testing and debugging
  • SKILL.md covers Subcommand: follow, Subcommand: investigate, Subcommand: decompose and Subcommand: consult
  • Calls git

What it does

Maestro Learn is an agent skill from catlog22/maestro-flow. User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions. Manual /maestro-learn only; NEVER auto-invoke for code exploration or analysis — route those intents to the analyze step via /maestro-next

Its SKILL.md is about 7.1k 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-learn”

Requirements

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

Workflow steps

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

  1. Read-only traversal — NEVER modify source code or wiki entries under analysis; all writes go to .workflow/ only
  2. Forcing questions mandatory — each section MUST have all 4 forcing questions applied; NEVER skip questions even for trivial sections
  3. Anchor requirement — every extracted pattern MUST include a file:line anchor; unanchored patterns SHALL NOT be persisted to learnings.md
  4. Convention cross-ref — MUST check every finding against coding-conventions.md and mark status (documented/candidate); NEVER persist…
  5. Append-only learnings — .workflow/specs/learnings.md MUST be appended, NEVER overwritten or truncated
  6. Confirmation gate — unless -y is set, MUST present findings and target files via request_user_input before any writes
  7. Depth contract — --depth shallow MUST NOT descend into function bodies; --depth deep MUST cover every branch and sub-expression

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
    • Glob
    • Grep
    • Read
    • Write
    • followup_task
    • interrupt_agent
    • list_agents
    • request_user_input
    • send_message

    …and 3 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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 Learn loads about 7.1k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 2,884 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~7.1k

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, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send

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 2,884 words (~7,145 tokens).

“Learning toolkit for building understanding of code, decisions, and plans. Four subcommands:”

— opening of SKILL.md by catlog22
name
maestro-learn
allowed-tools
Bash, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, wait_agent
disable-model-invocation
true
argument-hint
follow|investigate|decompose|consult [args...]
session-mode
none
version
0.5.89

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 6b18789

Compare with similar skills

Maestro Learn 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 Learn compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro Learn this skillcatlog22/maestro-flow563—~7.1kAutomated 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 Learn

What does Maestro Learn do?

User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions. Maestro Learn is an agent skill from catlog22/maestro-flow. User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions.

When should I use Maestro Learn?

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

How do I install Maestro Learn in Claude Code?

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

How do I install Maestro Learn in Codex?

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

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

What does Maestro Learn need to run?

Going by SKILL.md and its folder, Maestro Learn needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Bash, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, wait_agent.

Does Maestro Learn access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Maestro Learn 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 Learn use?

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

How many tokens does Maestro Learn use?

About 7.1k tokens (SKILL.md is roughly 29k 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 Learn?

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

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.