maestro-companion

SkillProductivity

Quick execution for small tasks, minimal run lifecycle (start +

Use maestro-companion in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add maestro-companion and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the maestro-companion skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

maestro-companionStart free

What this skill tells your AI

The instructions your AI receives, as published by catlog22/maestro-flow in .codex/skills/maestro-companion/SKILL.md and read by ahel’s review.

Agent timeout: spawn_agent 异步执行且无内置超时 — 除明确短任务外一律 spawn_agent 后立即 wait_agent({ timeout_ms: 3600000 })(上限 1 小时)阻塞等待,绝不依赖 30000 默认值;timed_out: true 且 Agent 未完成时再次 wait_agent 续等,不丢弃。批量场景使用 spawn_agents_on_csv({ max_runtime_seconds: 3600, ... })。

<required_reading> @/.maestro/workflows/run-mode.md @/.maestro/ref/knowledge-closeout.md @~/.maestro/workflows/codex-run-mode.md </required_reading>

If any required file above was not expanded into context by the host, or its content is no longer in context, Read every required file explicitly before executing any step; for knowledge closeout, Read @~/.maestro/ref/knowledge-closeout.md explicitly before closeout.

Use when:

  • Intent is mechanically clear (no design decisions needed; file count irrelevant)
  • No typed artifact consumed by downstream steps
  • No gate/verdict needed for lifecycle tracking

Lightweight self-check (all must hold):

  • Intent specifies a concrete, bounded action with named target (file, function, error message)
  • No typed artifact consumed by downstream steps
  • No gate/verdict for lifecycle tracking
  • Single concern, no multi-phase span If self-check fails mid-execution, stop and suggest /maestro-next for re-routing.
FlagEffect
-ySkip bounded task confirmation; never grants knowledge publication approval

Mode detection: intent → execute | empty → request_user_input: request intent text; if still empty → display usage hint and exit

Knowledge utilities (note/log/promote) are available via /maestro-knowledge.

Execute (default)

Linear: resolve Session identity -> dispatch Run -> explore -> confirm -> do -> check -> complete Run -> complete Session when the chain is terminal.

1. Create

Follow the self-start flow in run-mode.md. Negotiate capabilities, then execute the three receipt-chained mutations below. --actor carries the authorized identity (--participant defaults to it); use the exact session_id and orchestration_revision returned by each preceding receipt.

maestro session open "<intent>" --id <slug> --actor {actor_id} --json
maestro session chain insert --session {session_id} --step-id {step_id} --command companion --arg "<intent>" --actor {actor_id} --expected-orchestration-revision {open_orchestration_revision} --json
maestro run next --session {session_id} --actor {actor_id} --expected-orchestration-revision {insert_orchestration_revision} --json

The Session objective is metadata; session chain insert --arg "<intent>" supplies Companion's positional domain text. Never pass task prose through --input; that option accepts only sealed same-Session Artifact IDs. Consume the run next birth packet's task and structured continuation, and retain its exact Run locator and revisions.

Init {run_dir}/evidence/companion-log.md:

# Companion Log: {intent}
> run_id: {run_id} | session: {session_id}

## Evidence

2. Explore

Locate targets and gather evidence before touching anything. Methods (pick what fits):

  • maestro explore "FIND: ...\nSCOPE: ..." — codebase search
  • maestro search "<keywords>" --type spec --type knowhow — knowledge recall
  • spawn_agent(subagent) — multi-file analysis, cross-reference, pattern discovery
  • Direct Read/Grep/Glob — known targets, quick lookups

Record findings under ## Evidence:

## Evidence
- {file:line — what was found}
- {spec/knowhow entries loaded, or "none"}
- {subagent conclusions if used}

3. Confirm

Before executing, verify evidence is sufficient:

  • Target files/locations identified?
  • Change scope clear (what to modify, what to leave alone)?
  • No ambiguity requiring design decisions?

If insufficient → continue exploring or ask user. If -y → skip user confirmation interaction, but still perform evidence sufficiency self-check. If critical targets are unlocated, continue exploring (without asking user); only the 'ask user' branch is skipped.

4. Do

Execute the task. After each meaningful action, append under ## Work Log:

### {HH:MM} — {summary}
{outcome, files touched if any}

Rules: batch trivial reads; 1-5 lines per entry; focus on outcome not process.

5. Seal

Append outcome:

## Outcome
**Status:** done | partial
**Summary:** {1-2 sentences}
**Files:** {modified/created, or "none"}

Before completion, put accepted decisions/locked constraints in report.md. If a reusable recipe or pitfall emerged, stage it now:

maestro knowledge stage knowhow "<title>" --content-file <path|-> --run <run_id>
# Then use fenced `maestro run complete ... --advance` from run-mode.md.
# At terminal closeout, the completion owner executes knowledge-closeout.md,
# then `maestro session complete` with the current locator/revision/identity.

Display: Companion done. Run: {run_id} | Evidence: {path}

As completion owner, execute @~/.maestro/ref/knowledge-closeout.md (Review → Refresh → Present → Authorize → Execute → Verify) at terminal overall-task closeout; displaying only the receipt's review_command is insufficient. Zero candidates, rejection, or deferral allow completion with any backlog reported. If dispatched, return candidate IDs/warnings to the orchestrator instead of repeating its approval question. Do not persist the same insight again through /maestro-spec or /maestro-knowhow.

If execution revealed the task requires multi-phase audit/diagnosis (e.g., root cause unknown, >3 files need coordinated changes), suggest: /maestro-odyssey "<scope>" --mode debug|improve for re-planning.

<error_codes>

CodeSeverityConditionRecovery
E001errorsession open failed (CLI unavailable, invalid args)Check maestro CLI installation
E003errorEvidence log creation failedCheck run_dir permissions
W001warningExplore tools unavailable (maestro explore/search)Degrade to direct Read/Grep
</error_codes>

Signals

GitHub stars
560
Forks
68
Last commit
Sep 2026
Advanced
Item type
skill
Key
maestro-companion
Source
github.com/catlog22/maestro-flow