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Swarm

Skill boshu2/agentops/images/gemini/skills/swarm

Dispatch explicit disjoint packets exactly once through a caller-selected executor. Triggers: "swarm", "dispatch disjoint packets", "parallel explicit tasks".From its SKILL.md

Install
npx -y skills add boshu2/agentops --skill swarm

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

SKILL.md

2.1 KB, 305 tokens by cl100k_base, as published. Nobody here has run it

Swarm

Swarm exposes one optional factory port:

dispatch_once(explicit_disjoint_packets, executor)
  -> per-packet candidate | evidence | error

The caller supplies every complete packet, proves their write scopes disjoint, and chooses the executor. Swarm dispatches each packet once, preserves packet and context identities, collects results, and stops.

Exactly-once dispatch over proven-disjoint scopes is why parallel failures stay independent: no packet can observe, block, or corrupt another, so N packets yield N verdicts about N experiments rather than one tangle.

Named failure mode — partial-batch launch: dispatching valid packets before discovering an invalid one, leaving the batch half-run; validate the entire batch before the first call.

Anti-pattern: re-dispatching a packet whose executor returned an error. Corrective: return the error as that packet's factual result; retry is the caller's decision, not the dispatcher's.

The reference implementation is scripts/dispatch_once.py. It validates the entire explicit batch before the first call, invokes the supplied executor exactly once for each packet, and returns executor exceptions as factual per-packet errors.

Swarm does not select work, create packets, schedule from a backlog, persist a queue, claim ownership, retry, validate, integrate, close, use Git, or deliver. Executor failures remain executor evidence and cannot become core phase or verdict state.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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