agentleFS
apinizerapinizer/agentnizer-cookbook/.claude/skills/start/SKILL.md

start

Skill2 starsChanged 4 months agoMITView on GitHub

Hand a task to the team. Spawns the planner, then the daemon takes over. The single entry point for any new piece of work.

135 other projects use a version of this.

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Most recently taken up by

Used with

Projects with it also use setup-engine, team-audio and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CoralGameSkill

    setup-engine

    Configure the project's game engine and version. Pins the engine in CLAUDE.md, detects knowledge gaps, and populates engine reference docs via WebSearch when the version is beyond the LLM's training data.

    Also in 13 projects that use this

  • CoralGameSkill

    team-audio

    Orchestrate audio team: audio-director + sound-designer + technical-artist + gameplay-programmer for full audio pipeline from direction to implementation.

    Also in 13 projects that use this

  • lilangMaxSkill

    create-stories

    Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.

    Also in 11 projects that use this

  • lilangMaxSkill

    story-done

    End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.

    Also in 11 projects that use this

  • +5 more from CoralGame
  • +3 more from lilangMax

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 122 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If the daemon crashed mid-task, /start --resume (or ./team.sh resume-daemon) brings it back.

    line 50

“Common” is measured: kept by at least 6 in 10 of the 122 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/start — Hand a task to the team

Usage:

/start "<plain English task description>"
/start --resume                     # restart the daemon after a crash

What this does

/start "<task>" is a thin wrapper around the repo-root team.sh:

./team.sh start "<task description>"

That command:

  1. Confirms the daemon isn't already running (or cleans up a stale lock).
  2. Runs the planner agent in foreground. The planner splits your task into one or more sub-tasks and writes .state/active.json plus a .state/tasks/<id>/meta.json per sub-task.
  3. Spawns the daemon (pipeline-daemon.py) in the background. The daemon then runs the rest of the pipeline end-to-end — analyst → architect → developer → (3 reviewers + tester + security in parallel) → qa → documenter → retrospective.
  4. Returns control to you. Watch progress with /status or ./team.sh logs --daemon.

When to use it

  • You have a feature, bugfix, or improvement and you want the team to ship it.
  • The planner detects the shape from your phrasing (bug-shaped, feature-shaped, improvement-shaped) and tags flow_type accordingly — no separate slash command needed. Round 4 folded /feature, /bugfix, /improve, /local-loop, /process-issues into this single entry point.
  • For batch work, queue tasks in .state/backlog.jsonl with team.sh backlog add "<task>". This is a manual queue — the daemon does not consume it automatically. Pop the next entry yourself with team.sh backlog peek (or team.sh backlog list to see all pending) and hand it to /start "<task>".

--resume

If the daemon crashed mid-task, /start --resume (or ./team.sh resume-daemon) brings it back. Idempotency in every agent (role_done.<role> flags in meta.json) means agents that already finished will exit immediately on re-spawn; the daemon picks up exactly where it stopped.

Backlog queue

There is no daemon-side autopilot and no --backlog flag on /start or team.sh start. .state/backlog.jsonl is a plain manual queue managed via team.sh backlog (add / list / peek / purge-consumed / clear). To work through it, team.sh backlog peek the next entry yourself and pass it to /start "<task>" — there is no automatic dequeue.

Safety limits (configurable)

LSD_POLL_INTERVAL          = 3 sec        # how often the daemon polls .state/
LSD_MAX_PARALLEL_TASKS     = 3            # how many tasks run in parallel
LSD_MAX_PARALLEL_SUB       = 4            # subagents per task (review fan-out)
LSD_AGENT_TIMEOUT_SEC      = 900          # hard kill any agent past this

Override via env vars at daemon start time.

Notes

This is the same pipeline we run in production daily. The cookbook ships the exact daemon and agent definitions we use, anonymized. /start is the single command that kicks the team off.

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