SuperAPI AI Directory
Partner with us中文AI newsFavorites
Skillsspawn swarm

spawn swarm

Agents & models

View repository

Updated 10-16 08:09

About this skill

Spawn Swarm

Parallel agents for parallel work.

The Pattern

Single message → Multiple Task calls → Parallel execution → 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

### ❌ 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

### ✓ 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