/maestro-companion
Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.
$ npx -y skills add catlog22/maestro-flow --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/maestro-companion
Context preview
What this command does when you run it.
Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.
Command definition
maestro-companion.mdname: maestro-companion
disable-model-invocation: false
description: "Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks."
argument-hint: "<intent> [-y]"
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
- Agent
- AskUserQuestion
session-mode: run
contract:
discovery: self-described
consumes: []
produces: []
<required_reading> @~/.maestro/workflows/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 it explicitly before executing any step.
<purpose> Minimal-run execution channel. Full LLM capability with one bounded Run and evidence appended to `{run_dir}/evidence/companion-log.md`.
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. </purpose>
<context> $ARGUMENTS — intent text + optional flags.
| Flag | Effect | |------|--------| | `-y` | Skip confirmation, execute directly |
Mode detection: intent → execute | empty → [@ask] AskUserQuestion: request intent text; if still empty → display usage hint and exit
Knowledge utilities (note/log/promote) are available via `/maestro-knowledge`. </context>
<invariants> 1. Execute mode follows the exact Session identity -> bounded Run lifecycle in `run-mode.md`. 2. Evidence is append-only, non-formal (never enters gates or artifact registry) 3. No automatic multi-step orchestration — the command owns exactly one explicit single-step Session chain </invariants>
<flow>
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. `{open_request_id}`, `{insert_request_id}`, and `{next_request_id}` are distinct stable IDs; use the exact `session_id` and `orchestration_revision` returned by each preceding receipt. Participant and actor are the same authorized identity.
maestro session open "<intent>" --id <slug> --participant {actor_id} --actor {actor_id} --request-id {open_request_id} --reason "open self-started Companion Session" --json
maestro session chain insert --session {session_id} --step-id {step_id} --command companion --arg "<intent>" --participant {actor_id} --actor {actor_id} --request-id {insert_request_id} --reason "add Companion task" --expected-orchestration-revision {open_orchestration_revision} --json
maestro run next --session {session_id} --participant {actor_id} --actor {actor_id} --request-id {next_request_id} --reason "dispatch Companion task" --expected-orchestration-revision {insert_orchestration_revision} --jsonThe 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}
## Evidence2. 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
- 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 the complete fenced `maestro run complete ... --advance` and, when the
# chain is terminal, `maestro session complete` from run-mode.md with the current
# locator, orchestration_revision, and identity.
Display: `Companion done. Run: {run_id} | Evidence: {path}`
If the completion receipt contains candidate IDs, display its `review_command`. 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 coordinate
Read more
name: maestro-companion disable-model-invocation: false description: "Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks." argument-hint: "<intent> [-y]" allowed-tools: - Read - Write - Edit - Bash - Glob - Grep - Agent - AskUserQuestion session-mode: run contract: discovery: self-described consumes: [] produces: []
<required_reading> @~/.maestro/workflows/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 it explicitly before executing any step.
<purpose> Minimal-run execution channel. Full LLM capability with one bounded Run and evidence appended to `{run_dir}/evidence/companion-log.md`.
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. </purpose>
<context> $ARGUMENTS — intent text + optional flags.
| Flag | Effect | |------|--------| | `-y` | Skip confirmation, execute directly |
Mode detection: intent → execute | empty → [@ask] AskUserQuestion: request intent text; if still empty → display usage hint and exit
Knowledge utilities (note/log/promote) are available via `/maestro-knowledge`. </context>
<invariants> 1. Execute mode follows the exact Session identity -> bounded Run lifecycle in `run-mode.md`. 2. Evidence is append-only, non-formal (never enters gates or artifact registry) 3. No automatic multi-step orchestration — the command owns exactly one explicit single-step Session chain </invariants>
<flow>
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. `{open_request_id}`, `{insert_request_id}`, and `{next_request_id}` are distinct stable IDs; use the exact `session_id` and `orchestration_revision` returned by each preceding receipt. Participant and actor are the same authorized identity.
maestro session open "<intent>" --id <slug> --participant {actor_id} --actor {actor_id} --request-id {open_request_id} --reason "open self-started Companion Session" --json
maestro session chain insert --session {session_id} --step-id {step_id} --command companion --arg "<intent>" --participant {actor_id} --actor {actor_id} --request-id {insert_request_id} --reason "add Companion task" --expected-orchestration-revision {open_orchestration_revision} --json
maestro run next --session {session_id} --participant {actor_id} --actor {actor_id} --request-id {next_request_id} --reason "dispatch Companion task" --expected-orchestration-revision {insert_orchestration_revision} --jsonThe 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}
## Evidence2. 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
- 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 the complete fenced `maestro run complete ... --advance` and, when the # chain is terminal, `maestro session complete` from run-mode.md with the current # locator, orchestration_revision, and identity.
Display: `Companion done. Run: {run_id} | Evidence: {path}`
If the completion receipt contains candidate IDs, display its `review_command`. 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 coordinate
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
Repo: catlog22/maestro-flow
Other commands on maestro-flow.
maestro-impeccable
Use when designing, reviewing, refining, fixing, or codifying frontend UI with Maestro's self-contained Impeccable core
maestro-issue
Intent-driven issue lifecycle management — describe what you want in natural language (报告一个 bug / 列出开放 issue / 关掉 ISS-xxx / 关联到 task / 扫描发现问题) and the workflow…
maestro-knowhow
Intent-driven knowhow precipitation — describe what you want to capture (记一个关于X的决策 / 保存这段代码模板 / 写个部署配方 / 存个调试技巧) and the workflow infers the type and records…

