Agent skill

Maestro Improve

by ReinaMacCredy in ReinaMacCredy/maestro

Turn filed lessons into the smallest doctrine edit. An agent skill from ReinaMacCredy/maestro.

MITAuto-check passedMobile

Install Maestro Improve

skills CLI
$ npx skills add ReinaMacCredy/maestro --skill maestro-improve -a claude-code

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

GitHub CLI
$ gh skill install ReinaMacCredy/maestro maestro-improve --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/ReinaMacCredy/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/plugins/skills/maestro-improve .claude/skills/maestro-improve && 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-improve
GitHub stars
233
Token cost
~1.9k tokens
SKILL.md length
1,128 words
Files
2 (incl. references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Turn filed lessons into the smallest doctrine edit. An agent skill from ReinaMacCredy/maestro.

  • A Lead assigns improvement work for one target: group pending lessons
  • SKILL.md covers The parameter, The loop, Rejecting a lesson and The replay gate, plus 3 more sections
  • Calls bun
  • Make one evidence-linked commit per target

What it does

Maestro Improve is an agent skill from ReinaMacCredy/maestro. Turn filed lessons into the smallest doctrine edit. Use when a Lead assigns improvement work for one target: group pending lessons, make one evidence-linked commit per target, return it for independent challenge, and process each accepted or rejected lesson without deleting history.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/targets.md`).

It sits in Mobile, covering Mobile testing and debugging. The repository describes itself as: Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-first methods, powered by TypeScript and Bun. The licence is MIT.

When your agent uses it

  • A Lead assigns improvement work for one target: group pending lessons
  • Make one evidence-linked commit per target
  • Return it for independent challenge
  • Process each accepted

Example prompts

  • “/maestro-improve”

What it can do on your machine

Read from SKILL.md and the folder at commit 2412403. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • bun

    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 Improve loads about 1.9k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 1,128 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

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 passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from ReinaMacCredy/maestro at commit 2412403, republished under its MIT licence (© ReinaMacCredy). 1,128 words, ~1,894 tokens.

Download SKILL.mdSave it as .claude/skills/maestro-improve/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
maestro-improve
description
Turn filed lessons into the smallest doctrine edit. Use when a Lead assigns improvement work for one target: group pending lessons, make one evidence-linked commit per target, return it for independent challenge, and process each accepted or rejected lesson without deleting history.
review-date
2026-11-29
<!-- maestro-skill-version: dev -->

maestro-improve

Use when a Lead assigns improvement work on one target to a Peer. The target is the only parameter; a separate Peer challenges the returned candidate before acceptance.

A correction that stays in a transcript is spent when that session ends. The lesson record is what survives, and doctrine is the only thing a future session actually reads. This skill is the one place the two are joined: it turns filed corrections into the smallest edit that would have prevented them.

The parameter

The target names the doctrine a lesson corrects: a recipe section, the SLP Workspace Pack in src/plugins/resources/SLP.md, a Hub template, a skills/maestro-* file, or a repository's Workspace Protocol. Where each one lives, and what an edit to it costs, is in references/targets.md.

The loop

sh
maestro lesson list --project <project>     # pending only, by design
maestro lesson show <id>                    # the gap, the expectation, the why
  • Group the pending lessons by target. Two lessons on one rule are one edit, not two, and the second one is usually what tells you which reading of the rule was ambiguous.
  • Per group, propose the smallest edit that would have prevented what happened. Doctrine is read under load, so a sentence that removes an ambiguity beats a paragraph that adds a procedure. If the existing text already says it, the lesson is a rejection, not an edit.
  • The smallest edit may be a deletion. A mechanism - a seat, a review pass, a push, a sentence - earns its place by the outcomes it changed, not by how often it ran: where the lessons show one that added traffic and changed no result, remove it rather than add a counterweight. A repeating failure is first answered by moving the responsibility to the seat that owns it, not by another role, checklist or approval round, and three times a mechanism helped is not a reason to run it more often.
  • One commit per target group, on a branch, with the evidence ids of every lesson in the group in the message. The ids are how a later reader gets from the rule back to the incident that shaped it.
  • Mark each lesson processed by pointing at that commit:
sh
maestro lesson process <id> --commit <sha>

The improver never deletes a lesson and never edits one. Processing is a pointer, so the record of what was corrected stays readable after the doctrine it corrected has changed again.

A lesson whose hazard is mechanical is not answered by a sentence. Where the hazard has a mechanical form available - a helper that removes the unsafe shape, a refusal, a check that fails - the edit is that mechanism, and the return names which mechanism now makes the recurrence impossible rather than which sentence now warns about it. Where none is possible, say so in the return. A described remedy fails invisibly until it recurs, and its recurrence reads as carelessness, which tends to produce a second warning rather than a mechanism (l26, the recurrence of l8).

Rejecting a lesson

A lesson can be wrong: the rule already covers it, the correction misread it, or two lessons disagree and only one survives. Answer it where it lives and mark it processed in the same command:

sh
maestro lesson process <id> --answer "<why this produced no edit>"

The answer is for whoever filed it. "Out of scope" is not an answer; name the text that already covers it, or the reading that was wrong.

Show full SKILL.md (592 more words)Show less

The replay gate

Doctrine has golden scenarios: a script of maestro commands and the transcript it produced. In this repository they are tests/scenarios/<name>.script and <name>.golden, replayed by bun test tests/scenario-golden.test.ts.

Run the replay after every edit. An edit is accepted only when it still matches the golden set, or matches the change a lesson explicitly expected.

The replay is necessary and never sufficient, because most doctrine output is exercised by no scenario at all. Choose the rest of the per-edit gate by the output the edit changes, not by the file it changed: grep the whole test tree for the string you are changing, and run every suite that asserts it. A grep finds a test that quotes your string; it cannot find a property lint that walks a corpus - every recipe, every profile, every skill - and asserts a shape over all of it, because such a lint names no string of yours. So also run the suite that owns the corpus the edited file belongs to. An improver that runs the replay plus the test file nearest the edit is holding an instrument that passes exactly where nobody would look, and the full suite at the end is where that shows up - as reds its own edits caused (l5, w730/w731).

A replay that drifts in a way no lesson asked for is a regression in the doctrine, not an improvement, and it goes back before the work return. When a lesson did ask for the change, re-record with MAESTRO_GOLDEN_UPDATE=1 bun test tests/scenario-golden.test.ts and put the new golden in the same commit, so the diff shows the behaviour that changed next to the sentence that changed it.

A doctrine edit no scenario covers is an edit nothing can falsify: add the scenario in the same commit rather than leaving the rule unwatched.

Filing new lessons

Reading a pile of corrections is the best moment to notice one nobody filed. File it (maestro lesson file) rather than folding it silently into an edit: the next improver run needs the same evidence trail this one had. Name the anti-pattern it shows when one of the eight in ~/maestro/ANTI_PATTERN.md fits, in the lesson's own words: the vocabulary is for collecting corrections that rhyme, never a gate.

Return

Return the bounded candidate through the normal SLP work operation:

sh
maestro work return <work-id> "candidate: <branch and commits>; lessons: <ids and stores>; proof: <replay>; residual risk: independent challenge pending"

Name every lesson processed, answered, or left pending in the return body. A lesson in another store is processed by that store's holder after acceptance; do not mutate it from the wrong project. The Lead assigns a separate challenge Peer, reconciles the two returns, and accepts only after the challenge and replay support the candidate. Improving doctrine and approving it alone is the loop this separation exists to break.

Red flags

The thoughtThe reality
"While I am in this file I will also tidy..."Every changed line traces to a lesson, or the challenge Peer cannot tell an edit from an opinion.
"These five lessons all point at the same mess; I will rewrite the section"A rewrite loses the reading that was ambiguous. Fix the ambiguity, keep the section.
"This lesson is wrong, I will just leave it pending"Pending means unread. Answer it and mark it processed, so it stops counting toward the next threshold.
"The scenarios changed because my edit is better"An unrequested replay drift is a regression until a lesson says otherwise.
"I will land the branch since it is obviously right"The challenge Peer and reviewer boundary are the point; a self-approved doctrine edit is one model marking its own work.

© ReinaMacCredy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in src/plugins/skills/maestro-improve of ReinaMacCredy/maestro.

  • SKILL.md
  • references/targets.md

Open the folder on GitHubat commit 2412403

Compare with similar skills

Maestro Improve 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 Improve compared with similar skills
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Mobile QAtloncorp/tlon-apps107—~2.4kAutomated safety check: PassMIT
Store Listing Screenshotstherxmv/Telegram-Themer119—~2.5kAutomated safety check: PassNone
Androidyang1ming/android-harness176—~259Automated safety check: PassMIT

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Categories

Questions about Maestro Improve

What does Maestro Improve do?

Turn filed lessons into the smallest doctrine edit. An agent skill from ReinaMacCredy/maestro. Maestro Improve is an agent skill from ReinaMacCredy/maestro. Turn filed lessons into the smallest doctrine edit.

When should I use Maestro Improve?

Maestro Improve fits situations like: A Lead assigns improvement work for one target: group pending lessons; make one evidence-linked commit per target; return it for independent challenge; process each accepted.

How do I install Maestro Improve in Claude Code?

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

How do I install Maestro Improve in Codex?

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

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

What does Maestro Improve need to run?

Going by SKILL.md and its folder, Maestro Improve needs the command-line tools its instructions call (bun).

Does Maestro Improve 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 Improve safe to install?

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. Review the folder before installing.

What licence does Maestro Improve use?

Maestro Improve is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Maestro Improve use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 470 tokens, read only when the agent opens those files.

What are the alternatives to Maestro Improve?

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

ReinaMacCredy (a GitHub user) maintains it in ReinaMacCredy/maestro, which has 233 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 28, 2026.

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