メニュー
Fan out N parallel workers, drain them, and return one report. Use for /pstack:swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/seanGSISG/cstack --skill swarmコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Run the full repository compatibility pass: scanner score, startup path, validation loop, and docs reliability.
Orchestrate continual learning by delegating transcript mining and CLAUDE.md updates to `agents-memory-updater`.
Create a new Claude Code plugin scaffold with component directories, an optional manifest, and marketplace wiring. Use when starting a new plugin or adding a plugin to a multi-plugin marketplace repository.
SKILL.md を表示中
| name | swarm |
| description | Fan out N parallel workers, drain them, and return one report. Use for /pstack:swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration. |
| disable-model-invocation | true |
Fan out N parallel cloud workers. They may cover separate slices, race the same brief, or mix both. The parent waits, aggregates, and returns one report.
Open a todolist with one entry per phase before launching anything.
first pass, rank all, or best-of before spawning.swarm workers in ~/.claude/rules/pstack-models.md when present. Otherwise use sonnet/high. For a model race, name each arm's model up front./tmp/swarm-<slug>/worker-<n>/.Spawn all N workers in one message with subagent_type: general-purpose, environment: "cloud", run_in_background: true, and the configured model. Use environment: "local" only when the worker needs access to something on the user's computer.
When a worker must start from a non-default pushed branch, pass cloud_base_branch.
Every brief stands alone. Include the goal, scope, exact slice or race arm, how to verify, and what to report. Reports use PASS, ISSUES, or BLOCKED with evidence.
If a worker drops out, proceed with N-1 and note it.
Read the terminal results. For coverage, every required slice needs a result. For a race, apply the selection rule declared up front. Use first pass, rank all, or best-of. Do not paste raw worker dumps.
Keep a compact result table, one-line evidenced issues, and explicit gaps or dropouts.
Return one consolidated in-chat report with the table, issue one-liners, gaps or dropouts, and the race rule when used.