Agent skill

fleet-mission

Parallel agent fleet dispatch with progress tracking and result aggregation. Launch N agents, monitor completion, merge results. Proven at 7-agent scale.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/fleet-mission-tibsfox-gsd-skill-creator

SKILL.md

Fleet Mission

Activates when a task requires launching multiple agents in parallel to cover different aspects of the same work.

When to Use

  • Research requiring 3+ parallel investigation tracks
  • Document expansion across multiple files simultaneously
  • Fact-checking large document sets
  • Data gathering from multiple sources
  • Any work that decomposes into independent parallel units

Dispatch Pattern

1. DECOMPOSE work into N independent units
2. LAUNCH agents in a single message (parallel tool calls)
3. Use run_in_background: true for all agents
4. MONITOR — agents report back via task notifications
5. AGGREGATE results as agents complete
6. COMMIT incrementally — don't wait for all to finish

Fleet Sizing

Work Type Recommended Fleet Agent Type
Research (broad topic) 3-4 agents general-purpose or gsd-phase-researcher
Document expansion 2-4 agents (split by doc range) gsd-executor or document-builder
Fact-checking 2 agents (split by doc range) fact-checker
Data gathering 3 agents (by data domain) market-researcher

Rules

  • Maximum 5-6 agents per fleet (diminishing returns beyond that)
  • Each agent gets a COMPLETE brief — they have no shared context
  • Use worktree isolation for agents that write files
  • Commit results incrementally as agents complete — don't batch
  • Always have a fallback plan to write directly if an agent fails

Worktree Management

Agents in worktrees write to isolated copies. After completion:

bash
cp worktree-path/output/file.md main-repo/output/file.md

Then commit from the main repo branch.

Proven Scale

  • 4 parallel document-builder agents: HEL expansion (20K → 79K words)
  • 5 parallel deep-research agents: OOPS fleet (5 docs, ~16K words)
  • 4 parallel research agents: HEL refinement (He-3, shortage history, Silicon Forest, regulatory)
  • 3 parallel data-gathering agents: HEL data fidelity (market, space, PNW)

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