fleet-mission

Name: fleet-mission
Author: Tibsfox/gsd-skill-creator

$npx mdskill add Tibsfox/gsd-skill-creator/fleet-mission

Launches parallel agents, tracks progress, and aggregates results.

Solves coordinating multiple independent parallel investigation or work units.
Depends on agent tool calling and background task execution.
Decomposes work into independent units and dispatches agents in parallel.
Delivers aggregated results incrementally as agents complete their tasks.

SKILL.md

.github/skills/fleet-missionView on GitHub ↗

---
name: fleet-mission
description: Parallel agent fleet dispatch with progress tracking and result aggregation. Launch N agents, monitor completion, merge results. Proven at 7-agent scale.
version: 1.0.0
type: skill
category: orchestration
status: stable
origin: tibsfox
modified: false
first_seen: 2026-03-31
first_path: .claude/skills/fleet-mission/SKILL.md
superseded_by: null
---
# 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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