Swarm explore
Use when the user wants to map a large codebase, gather context from many files at once, or investigate a problem space in parallel. Read-only fan-out. Never writes.From its SKILL.md
npx -y skills add blakecyze/swarm --skill swarm-exploreAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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swarm-explore
Fan out read-only investigation across many slices at once, then synthesise. This is the highest-value swarm pattern and the safest, because reading in parallel has no side effects. Use it to build context fast: map an unfamiliar codebase, trace how a feature works across many files, or gather evidence for a question from many sources.
The principles from swarm-principles apply. This skill is strictly read-only.
The hard rule
Explore never writes. No edits, no commits, no file creation beyond the synthesis report. Each subagent is briefed read-only. If the investigation reveals work to do, that is a separate skill's job: /swarm-improve to capture it as plans, or /swarm-refine to harden a specific artefact.
When this earns its keep
Reading is embarrassingly parallel. Ten agents each mapping a different module return in the time one agent maps one. The merge (synthesising findings) is usually cheap because findings are additive, not competing. This is the pattern where fan-out most reliably wins.
Process
- Define the question. What are we trying to learn? "How does auth work here" is answerable. "Look at the code" is not. Sharpen it.
- Slice the search space. By module, by directory, by concern, by source. Each slice should be investigable without the others.
- Check the cost ceiling. More than 5 slices means confirm or batch into waves.
- Brief each subagent read-only. Give it: the question, its slice (explicit paths), the report format, and the read-only boundary. Ask each to report findings, not raw dumps. A subagent that returns 2000 lines of pasted code has failed. It should return what it learned.
- Synthesise. Collect the reports, reconcile overlaps, resolve contradictions (two agents disagree means dig in), and produce one coherent map.
Subagent brief template
Read-only investigation. Do not edit, create, or commit anything.
Question: <the sharpened question>
Your slice: <explicit paths or sources>
Report back:
- Key findings relevant to the question (prose, not code dumps)
- Specific file:line references for anything important
- Anything surprising or contradictory
- What you could NOT determine from your slice
Keep it under <N> lines. Learnings, not transcripts.
Output format
## Exploration: <the question>
**Slices:** <N> agents across <what>
### What we found
<synthesised answer to the question, in prose>
### Map
- <area> — <what it does> (`file:line`)
- <area> — <...>
### Contradictions / open questions
- <where agents disagreed, or what none could determine>
### Cost
<N> agents, roughly <M>x a single read pass.
Failure modes to avoid
- Slices that overlap heavily. You pay N times to read the same files. Slice by disjoint paths.
- Subagents returning raw code instead of findings. Brief them to synthesise.
- Letting an "explore" quietly become an "edit". The moment a change is warranted, stop and hand off.
- Fanning out a question one agent could answer by reading three files. Not everything needs a swarm.