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.
Adopted by
Most recently taken up by
- flavien-ia/hypervibe-harnesstheir own version, first seen Nov 15, 2026
- srinator22/agent-kerneltheir own version, first seen Nov 15, 2026
- librosdeia/builder-method-claude-plugintheir own version, first seen Nov 15, 2026
- willink-oss/willink-claude-kittheir own version, first seen Nov 15, 2026
- chuanglibs/Claude-Code-Game-Studios-Codextheir own version, first seen Nov 15, 2026
- relai-ai/agent-eval-looptheir own version, first seen Nov 15, 2026
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.
CoralGameSkillsetup-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
CoralGameSkillteam-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
lilangMaxSkillcreate-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
lilangMaxSkillstory-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
Other versions135 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 135
- Donchitos/Claude-Code-Game-Studios★ 39ksame name
- anthropics/knowledge-work-plugins★ 36ksame name
- openai/plugins★ 7.8ksame name
- SterlingChin/marvin-template★ 1ksame name
- educlopez/ui-craft★ 441same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- dsifry/metaswarm★ 432same name
- pixel-cellar/Claude-Code-Game-Studios★ 324same name
- ansvisor/ansvisor★ 241same name
- alexeykrol/claude-code-starter★ 194same name
125 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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
- Very specific: line 50
If the daemon crashed mid-task, /start --resume (or ./team.sh resume-daemon) brings it back.
“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.
Files
/start — Hand a task to the team
Usage:
/start "<plain English task description>"
/start --resume # restart the daemon after a crashWhat this does
/start "<task>" is a thin wrapper around the repo-root team.sh:
./team.sh start "<task description>"That command:
- Confirms the daemon isn't already running (or cleans up a stale lock).
- Runs the planner agent in foreground. The planner splits your task
into one or more sub-tasks and writes
.state/active.jsonplus a.state/tasks/<id>/meta.jsonper sub-task. - 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. - Returns control to you. Watch progress with
/statusor./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_typeaccordingly — no separate slash command needed. Round 4 folded/feature,/bugfix,/improve,/local-loop,/process-issuesinto this single entry point. - For batch work, queue tasks in
.state/backlog.jsonlwithteam.sh backlog add "<task>". This is a manual queue — the daemon does not consume it automatically. Pop the next entry yourself withteam.sh backlog peek(orteam.sh backlog listto 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 thisOverride 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

