spawn swarm
4
总安装量
0
周安装量
#52618
全站排名
安装命令
npx skills add https://github.com/willsigmon/sigstack --skill Spawn Swarm
Skill 文档
Spawn Swarm
Parallel agents for parallel work.
The Pattern
Single message â Multiple Task calls â Parallel execution â Collected results
One message with 5-20 Task tool invocations. All run simultaneously. Results come back together.
Swarm Templates
Bug Hunt (5-10 agents)
"Find bugs across the codebase"
Spawn per module:
- auth-agent
- payment-agent
- user-agent
- api-agent
- data-agent
PR Review (3-4 agents)
"Review PR #123"
Spawn specialists:
- security-reviewer
- performance-reviewer
- style-reviewer
- test-coverage-reviewer
Feature Build (4 agents)
"Build [feature]"
Spawn workers:
- ui-agent
- logic-agent
- test-agent
- docs-agent
Codebase Exploration (5 agents)
"Understand how [thing] works"
Spawn explorers:
- entry-point-finder
- flow-tracer
- dependency-mapper
- pattern-identifier
- edge-case-hunter
Invocation
Single Message, Multiple Tasks
[Task: Search auth/ for security issues]
[Task: Search payment/ for security issues]
[Task: Search api/ for security issues]
[Task: Search data/ for security issues]
[Task: Search user/ for security issues]
All in ONE message.
Use run_in_background
For long-running work:
run_in_background: true
Continue other work.
Check results with TaskOutput later.
Agent Types
Explore (subagent_type: Explore)
Fast file/code search
Pattern finding
Codebase questions
General (subagent_type: general-purpose)
Multi-step implementation
Complex changes
Autonomous work
Specialists
code-reviewer
debugger
security-reviewer
performance-reviewer
Sizing Guidelines
| Task | Agents | Why |
|---|---|---|
| Small search | 3-5 | Quick coverage |
| Full codebase | 5-10 | One per major area |
| Deep analysis | 10-15 | Thorough exploration |
| Massive refactor | 15-20 | Maximum parallelism |
Token Efficiency
Agents Have Narrow Context
Main conversation: Full codebase
Each agent: Only its target area
5 agents searching 5 areas:
- Same tokens as 1 agent doing all 5
- 5x faster
- Each has focused context
Agent Summary Pattern
Agent explores extensively.
Returns: "Found issue in auth.swift:142"
You get 1-line summary.
Not the full exploration trace.
Anti-Patterns
â Don’t
- Spawn for simple reads (just use Read tool)
- Spawn with dependencies (race conditions)
- Spawn 50 agents (chaos)
- Wait on each before spawning next
â Do
- One message, all agents
- Independent targets
- 5-20 agents max
- Background for long work
Example Prompt
Spawn a bug-hunting swarm:
1. Search src/auth/ for security vulnerabilities
2. Search src/payment/ for data handling issues
3. Search src/api/ for input validation bugs
4. Search src/user/ for permission issues
5. Search src/data/ for race conditions
Return findings ranked by severity.
Use when: Any parallel work opportunity