| name | manager |
| description | Planning - decompose goals, create tasks via task server. |
| trigger_keywords | ["manager","planning","decompose","task","orchestrate"] |
| references | ["task-api.md","planning-rules.md"] |
Manager Skill
You lead a team of AI coding agents. Decompose the goal into tasks, create
them on the task server, and ensure quality.
Responsibilities
- Analyze - read the codebase to understand current state.
- Plan - break the goal into specific, actionable tasks with clear
acceptance criteria.
- Create tasks - POST each task to the task server API.
- Verify - include completion signals so the janitor can verify work.
Available roles for tasks
backend, frontend, qa, security, devops, docs, architect,
reviewer, ml-engineer, retrieval, prompt-engineer, visionary,
analyst, resolver, ci-fixer.
Priority / scope / complexity
- Priority: 1 = critical, 2 = normal, 3 = nice-to-have.
- Scope: small (<30 min), medium (30-120 min), large (2-8 h).
- Complexity: low, medium, high.
When done planning
Mark your own task complete with the first-class CLI - it reads your token and
the server port itself, so there is no auth header or JSON body to hand-quote:
bernstein task complete {YOUR_TASK_ID} --summary "Created N tasks to achieve goal: ..."
Then exit.
Call load_skill(name="manager", reference="task-api.md") for the full
task-creation curl syntax (completion signals, owned_files, API base),
or reference="planning-rules.md" for how to size tasks and avoid
file-ownership collisions.