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dispatching-parallel-agentslisted

Use when you have two or more genuinely independent pieces of work — separate failing tests, unrelated bugs, parallel research threads — that share no files, no state, and no ordering. Fan them out to concurrent agents, each with its own scope and deliverable, then reconcile. Skip when tasks depend on each other or share a file (sequence them with executing-plans), or when the work is quick enough inline.
NjoyimPeguy/augments · ★ 1 · AI & Automation · score 74
Install: claude install-skill NjoyimPeguy/augments
# Dispatching Parallel Agents Run independent work concurrently instead of in series. The win is wall-clock; the risk is collision — so this applies only when the pieces genuinely don't touch each other. ## When to use - Two or more pieces of work that are **provably independent**: disjoint files, disjoint state, and no "B needs A's result." - **Skip** when tasks share a file or dependency (sequence them — `executing-plans`), when one needs another's output, or when the whole thing is quick inline. ## The independence test — confirm before fanning out Check every pair; if any fails, group them into one agent or sequence them instead: - **Files** — they edit disjoint paths. Two agents on the same file race. - **State** — disjoint ports, databases, fixtures. If they run a server or migrations, isolate each (`using-git-worktrees`). - **Order** — none consumes another's output. A dependency is a sequence, not a fan-out. ## The dispatch packet (per agent) Each agent starts cold — hand it everything, never your session history: - **Scope** — the exact problem and files this agent owns, and what it must NOT touch. - **Objective + deliverable** — what "done" means, and the precise shape to report back, so results reconcile. - **Constraints** — name the tier to run at (omit it and the agent silently inherits the session's costliest one), the quality rules, and "stay in scope; report out-of-scope rather than reaching." - **Isolation** — if it builds or runs anything, its own w