adjohn/pstack/swarm
Claude Code and agent skill by adjohn/pstack
- community
Checking that the SKILL.md file is still in the repository.
Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
Install
npx vskill@latest install adjohn/pstack/swarmSKILL.md
Swarm
Start
Open a todolist with one entry per phase before launching anything.
- Frame
- Fan out
- Aggregate
- Report
Phase A: Frame
- State the done predicate and the artifact or report the swarm must return.
- 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, orbest-ofbefore spawning. - Pick the worker model from the
swarm workersline in~/.claude/pstack-models.md. If the file or that line is missing, usehaiku. Forautoorinherit-parent, omitmodelso the workers run on the parent model. If the Agent tool rejects a slug, use the default and say so. If it rejects the default, use the nearest Claude tier from its error message. For a model race, name each arm's model up front. Pick each subagent's reasoning level (the Agenteffort) for the job, per the Subagents section of the poteto-mode skill. - Give each worker its own writable output when it writes. When workers verify or measure commits, each brief names the exact SHAs. A measurement brief also names the method (sample count, what one sample is, order). The worker records both in its result.
Phase B: Fan out
Spawn all N workers in one message with subagent_type: general-purpose, run_in_background: true, and the step 3 model, left unset for auto or inherit-parent.
When a worker must start from a non-default pushed branch, say so in its brief: it checks out that branch first, in its own worktree (git worktree add <dir> origin/<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. A worker that can prove a defect reports ISSUES and lists every issue it can prove, not only the first.
If a worker drops out, proceed with N-1 and note it.
Phase C: Aggregate
Read the terminal results. Drop a result that does not record the SHAs and method its brief names, and respawn that worker once. After a second miss, record a gap. A gap does not count as a pass. 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.
Phase D: Report
Return one consolidated in-chat report with a result table, issue one-liners, gaps or dropouts, and the race rule when used.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/swarm/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
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