maestro-companion
Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.
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 it into .workflow/knowhow/. Pure capture surface; knowhow 的管理/审计走 /maestro-knowledge;项目约束规则走 /maestro-spec add。Triggers
$ npx -y skills add catlog22/maestro-flow --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/maestro-knowhowContext preview
What this command does when you run it.
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 it into .workflow/knowhow/. Pure capture surface; knowhow 的管理/审计走 /maestro-knowledge;项目约束规则走 /maestro-spec add。Triggers
name: maestro-knowhow disable-model-invocation: true description: 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 it into .workflow/knowhow/. Pure capture surface; knowhow 的管理/审计走 /maestro-knowledge;项目约束规则走 /maestro-spec add。Triggers on "knowhow capture", "知识沉淀", "沉淀经验", "记录模板", "记录决策", "adr", "存个技巧". argument-hint: "[intent — e.g. '记录一个 JWT 刷新的决策' | 'template 这段重试代码' | 'tip: redis 管道陷阱']" allowed-tools: - Read - Write - Edit - Bash - Glob - Grep - AskUserQuestion session-mode: none
<purpose> Intent-driven knowhow precipitation path (沉淀路径) — captures reusable knowledge into `.workflow/knowhow/`. No fixed grammar — state your intent; the `knowhow` step infers the content type and extracts the content. Type keywords still work as deterministic shortcuts:
| Type | Keywords | Prefix | |------|----------|--------| | session | `session` / `compact` / 压缩 | KNW- | | template | `template` / `tpl` / 模板 | TPL- | | recipe | `recipe` / `rcp` / 配方 / 步骤 | RCP- | | reference | `reference` / `ref` / 参考 | REF- | | decision | `decision` / `dcs` / `adr` / 决策 | DCS- | | tip | `tip` / `note` / 技巧 / 记录 | TIP- | | asset | `asset` / 资产 | AST- | | blueprint | `blueprint` / 蓝图 | BLP- | | document | `document` / doc / 文档 | DOC- | </purpose>
<dispatch> Read `~/.maestro/workflows/knowhow.md` and follow the execution document directly. Do not create a Session or Run just to load this document.
Pass the full `$ARGUMENTS` to the workflow as its intent (the first `capture` argument is implied). The workflow infers one of the nine compatible types and writes through the canonical CLI.
Minimal ordinary creation is `maestro knowhow add --type <type> --title "<title>" --content-file <path>`: type, title, and content are the only required knowledge parameters. Keywords, sourceRef, relatedPaths, applicability, language, decision state, explicit ID, and tool are advanced optional metadata. Repository authority is host-owned: omit `targetRepoId` for current-repository writes; pass the exact host-supplied stable UUID only for an explicitly selected linked write with live `knowhow` write capability. Never derive identity from cwd/name/alias/path or persist those values as identity. </dispatch>
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
Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.
Use when designing, reviewing, refining, fixing, or codifying frontend UI with Maestro's self-contained Impeccable core
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…