Agent skill

Maestro Spec

by catlog22 in catlog22/maestro-flow

Intent-driven spec precipitation — state a constraint in natural language (加一条规范:禁止用 any / 记录架构约束:服务间走 gRPC / 质量规则:覆盖率≥80%) and the workflow infers the category and records a <spec-entry.

No licenceAuto-check: notesMobile

Install Maestro Spec

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

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

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro-spec --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-spec .claude/skills/maestro-spec && 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-spec
GitHub stars
564
Token cost
~417 tokens
SKILL.md length
103 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Intent-driven spec precipitation — state a constraint in natural language (加一条规范:禁止用 any / 记录架构约束:服务间走 gRPC / 质量规则:覆盖率≥80%) and the workflow infers the category and records a <spec-entry.

  • Maestro-spec add
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Mobile testing and debugging
  • Tasks that involve gRPC and Protobuf

What it does

Maestro Spec is an agent skill from catlog22/maestro-flow. Intent-driven spec precipitation — state a constraint in natural language (加一条规范:禁止用 any / 记录架构约束:服务间走 gRPC / 质量规则:覆盖率≥80%) and the workflow infers the category and records a <spec-entry. Spec = 项目约束规则(编码规范、架构约束、质量标准);可复用知识文档走 /maestro-knowhow capture。Triggers on "maestro-spec add", "记录规范", "添加约束", "添加规则", "加一条规范", "spec add". Terminology:spec = project constraints/rules (<spec-entry). Reusable knowledge documents use /maestro-knowhow capture. Learning discoveries from /maestro-learn use <learning-entry tags in…

Its SKILL.md is about 420 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 gRPC and Protobuf. It works with gRPC. 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

  • Maestro-spec add
  • Tasks that involve Mobile testing and debugging
  • Tasks that involve gRPC and Protobuf

Example prompts

  • “maestro-spec add”
  • “spec add”
  • “/maestro-spec”

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 Spec loads about 417 tokens when it runs. Until then it costs about 144 tokens; SKILL.md has 103 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~417

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 103 words (~417 tokens).

“Intent-driven spec precipitation path (沉淀路径) — records project constraint rules. No fixed grammar — state the constraint; the specs-add step infers the category and scope and formats the . Explicit form still works as a shortcut: [--scope ] `.”

— opening of SKILL.md by catlog22
name
maestro-spec
allowed-tools
Bash, Edit, Glob, Grep, Read, Write, request_user_input
disable-model-invocation
true
argument-hint
[intent — e.g. '加一条规范:禁止用 any' | 'arch 约束:服务间走 gRPC' | '--scope team coding: 统一用 pnpm']
session-mode
none
version
0.5.90

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit af37312

Compare with similar skills

Maestro Spec 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 Spec compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro Spec this skillcatlog22/maestro-flow564—~417Automated safety check: NotesNone
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
Golang Proantoniopaya22/go-rest-template1723 repos~1.2kAutomated safety check: PassMIT
Projectsamchon/typia5.9k—~1.8kAutomated safety check: PassMIT
Debug Grpc ConnectionGetBindu/Bindu10k—~1.2kAutomated safety check: PassCustom licence
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Maestro Spec

What does Maestro Spec do?

Intent-driven spec precipitation — state a constraint in natural language (加一条规范:禁止用 any / 记录架构约束:服务间走 gRPC / 质量规则:覆盖率≥80%) and the workflow infers the category and records a <spec-entry. Maestro Spec is an agent skill from catlog22/maestro-flow. Intent-driven spec precipitation — state a constraint in natural language (加一条规范:禁止用 any / 记录架构约束:服务间走 gRPC / 质量规则:覆盖率≥80%) and the workflow infers the category and records a <spec-entry.

When should I use Maestro Spec?

Maestro Spec fits situations like: maestro-spec add; tasks that involve Mobile testing and debugging; tasks that involve gRPC and Protobuf.

How do I install Maestro Spec in Claude Code?

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

How do I install Maestro Spec in Codex?

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

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

What does Maestro Spec need to run?

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

Does Maestro Spec 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 Spec 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 Spec use?

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

How many tokens does Maestro Spec use?

About 417 tokens (SKILL.md is roughly 1.7k 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 Spec?

Skills that share tags, products or a category with Maestro Spec: Use Yaak (mountain-loop/yaak, 19k stars), Golang Pro (antoniopaya22/go-rest-template, 172 stars), Project (samchon/typia, 5.9k stars) and Debug Grpc Connection (GetBindu/Bindu, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maestro Spec?

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.