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About
Use cases: documents, testing
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What's inside
- Skill name
swarm- Description
- Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
- License
- MIT
- Instructions
- 42 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Swarm Follow the [portable runtime contract](../pstack-pi/references/runtime.md) for worker roles, concurrent execution, models, writable isolation, and unavailable-capability fallbacks. Fan out N parallel workers through the current host. They may cover separate slices, race the same brief, or mix both. The parent waits, aggregates, and returns one report. ## Start Track one checklist entry per phase before launching anything. Use the host's planning facility when available; otherwise keep a compact checklist in the conversation or project-local decision trail. 1. Frame 2. Fan out 3. Aggregate 4. Report ## Phase A: Frame 1. State the done predicate and the artifact or report the swarm must return. 2. Choose the shape. Partition into slices, race N workers on identical briefs, or mix both. For a race or mixed shape, declare `first pass`, `rank all`, or `best-of` before spawning. 3. Set N from the user or derive it from the shape. N is total workers, not the host's concurrency limit. 4. Pick the worker choice from `swarm workers` in the portable pstack configuration when present. Otherwise use the canonical `implementer` role. For a model race, name each arm's role or model choice up front. 5. Give each worker its own writable output when it writes. Use a worktree, branch, or `/tmp/swarm-<slug>/worker-<n>/`. ## Phase B: Fan out Launch all N workers concurrently through the host's task facility using the configured choice. Use the environment the current host actually provides; do not assume remote execution, uploaded repositories, or access to the user's machine. If workers need a non-default branch or checkout, name it in each standalone brief and verify that the host can access it before launch. 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. ## Phase C: Aggregate 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. ## Phase D: Report Return one consolidated in-chat report with the table, issue one-liners, gaps or dropouts, and the race rule when used.
From shrimpwtf/oh-my-pstack, MIT.
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Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how…
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Signals
- Stars
- 39
- Forks
- 6
- Open issues
- 2
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/shrimpwtf/oh-my-pstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
swarm skill. Agent Mart. https://agentmart.dev/skills/shrimpwtf-swarm (last updated 2026-10-24)