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Claude Swarm Orchestration
ASecurityMulti-agent orchestration for Claude Code — automatic task decomposition via Opus 4.6, parallel execution with dependency-aware scheduling, file conflict prevention, quality gate, and cost control. Use for complex tasks that benefit from parallelism (refactors, feature builds, audits across many files).
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- Added September 9, 2026
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[](https://www.skillsdirectory.com/skills/yanacuti1121-claude-swarm-orchestration)---
name: claude-swarm-orchestration
description: Multi-agent orchestration for Claude Code — automatic task decomposition via Opus 4.6, parallel execution with dependency-aware scheduling, file conflict prevention, quality gate, and cost control. Use for complex tasks that benefit from parallelism (refactors, feature builds, audits across many files).
license: MIT
source: https://github.com/affaan-m/claude-swarm
---
# Claude Swarm Orchestration
Auto-decompose complex tasks into parallel subtasks with dependency-aware scheduling.
**Trigger phrases:** "parallel agents", "swarm", "decompose task", "multi-agent execution", "run agents in parallel", "orchestrate agents", "claude-swarm"
---
## When to Use
Use claude-swarm when:
- Task touches 5+ files across different domains
- Work can be parallelized (independent subtasks exist)
- Need quality gate review across all outputs
- Budget control is critical
Use YAMTAM agents-v2 (hub-and-spoke) when:
- Tasks require close inter-agent discussion/debate
- Sequential logic with shared state
---
## 4-Phase Flow
```
Phase 1 (Opus): Analyze codebase → decompose into 2-8 subtasks with dependency graph
Phase 2 (Haiku pool): Execute subtasks in parallel, dependency-aware, file-locked
Phase 2.5 (Opus quality gate): Review all outputs → pass/needs_revision/fail
Phase 3: Deliver combined result with cost tracking
```
---
## Config Format (swarm.yaml)
```yaml
name: "full-stack-feature"
max_concurrent: 4
budget_usd: 5.00
model: "opus" # decomposition model
agents:
coder:
name: "Code Implementation"
model: "haiku"
tools: [Read, Write, Edit, Bash, Grep, Glob]
prompt: "Implement the requested changes..."
tester:
name: "Test Writer"
model: "haiku"
tools: [Read, Write, Edit, Bash, Grep]
prompt: "Write comprehensive tests..."
reviewer:
name: "Code Reviewer"
model: "opus"
tools: [Read, Grep, Glob]
prompt: "Review all changes for correctness..."
connections:
- from_agents: ["coder"]
to_agent: "tester"
- from_agents: ["coder"]
to_agent: "reviewer"
- from_agents: ["tester", "reviewer"]
to_agent: "delivery"
```
**Agent roles:** coder · tester · reviewer · documenter · refactorer · security-reviewer
---
## CLI Usage
```bash
# Install
pip install claude-swarm
# Basic task
claude-swarm "Refactor auth module from Express to Next.js"
# Preview decomposition without executing
claude-swarm --dry-run "Add user authentication"
# Custom config and budget
claude-swarm -c ./swarm.yaml -b 10.0 "Complex migration"
# Without quality gate
claude-swarm --no-quality-gate "Quick fix"
# View sessions
claude-swarm sessions
claude-swarm replay <session_id>
```
Requires: `ANTHROPIC_API_KEY`, Python 3.11+
---
## Key Mechanisms
**File conflict prevention:** pessimistic locking — task blocked if target files are already locked by another running agent.
**Dependency scheduling:** tasks only start when all prerequisite tasks complete. Enables "waves" of parallel execution.
**Budget enforcement:** hard ceiling — remaining work cancelled when `budget_usd` exceeded.
**Quality gate scoring:**
```
≥ 8/10 → pass
5–7/10 → needs_revision (agent retries)
< 5/10 → fail (escalate to human)
```
---
## vs YAMTAM agents-v2
| Feature | claude-swarm | YAMTAM agents-v2 |
|---------|-------------|-----------------|
| Task decomposition | Automatic (Opus) | Manual |
| Scheduling | DAG + file locks | Hub-and-spoke |
| Quality review | Built-in gate | Multi-agent debate |
| Cost control | Hard budget ceiling | None built-in |
| Session replay | ✅ | ❌ |
| Config | declarative YAML | code-defined |
---
## Anti-Fake-Pass
```
❌ Using swarm for sequential tasks where ordering matters — use pipeline
❌ Setting budget too low — tasks cancelled mid-execution
❌ Overlapping file targets across agents — causes conflict blocks
❌ Not doing --dry-run first on expensive tasks
❌ Skipping quality gate for user-facing features
```
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