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Swarm plan

Skill blakecyze/swarm/skills/swarm-plan

Use when the user wants to break a large task into parallel workstreams, plan a multi-agent job, or decide what can run concurrently. Produces an orchestration plan, does not execute it.From its SKILL.md

Install
npx -y skills add blakecyze/swarm --skill swarm-plan

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.1 KB, as published. Nobody here has run it

swarm-plan

Decompose a large task into an orchestration plan: which work is parallel, which is sequential, and where the merge happens. This skill plans. It does not spawn agents. Handing execution to /swarm-bulldoze, /swarm-explore, or manual orchestration is a separate step the user takes after seeing the plan.

The principles from swarm-principles apply. In particular: sequential is the default, and each parallel slice must be independent and self-contained.

The job

Turn one big ask into a dependency graph of workstreams, tagged by what can run at once. The output is a plan the user can eyeball before spending a single subagent token.

Process

  1. Restate the task in one line. If you cannot, it is too vague to plan. Ask.
  2. List the atomic workstreams. The smallest units of work that produce something usable on their own.
  3. Draw the dependencies. For each workstream, what must finish before it can start? A workstream with no upstream dependency is a candidate for the first parallel wave.
  4. Group into waves. Wave 1 is everything with no dependencies. Wave 2 is everything that depends only on wave 1. And so on. Within a wave, work runs concurrently.
  5. Check each wave against the cost ceiling. If a wave has more than 5 concurrent slices, either confirm with the user or split the wave.
  6. Name the merge. After the last wave, how do the outputs combine into the deliverable? If you cannot name a cheap merge, the decomposition is wrong. Reconsider.

Honesty check

Before presenting the plan, ask: is this actually faster than one sequential pass? If the waves are deep (lots of sequential dependency) and the parallel width is thin, the swarm buys almost nothing. Say so. A good outcome of this skill is sometimes "don't swarm this, just do it straight."

Output format

## Swarm plan: <task in one line>

**Verdict:** <worth swarming | marginal | just do it sequentially, because ...>

### Wave 1 (parallel, N slices)
- **<slice name>** — <what it does, what it outputs>
- **<slice name>** — <...>

### Wave 2 (depends on wave 1)
- **<slice name>** — <needs: slice X output>

### Merge
<how the wave outputs combine into the deliverable, and who judges if selection is involved>

### Cost
Roughly <N>x a single pass, peak <M> concurrent agents.

### Next step
Run `/swarm-explore` for the read-heavy slices, or spawn wave 1 manually with these briefs: <one-line brief per slice>

Failure modes to avoid

  • Planning parallelism that does not exist. If everything depends on everything, it is a sequential task wearing a swarm costume.
  • Ignoring the merge until the end and discovering it is the expensive part.
  • Producing waves wider than the cost ceiling without flagging it.
  • Executing. This skill stops at the plan. It never spawns.

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.