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Execute multiple Claude Code agents in parallel using the cpo CLI tool. Use when running parallel tasks, monitoring execution, or understanding the execution workflow.
This skill uses the workspace's default tool permissions.
Parallel Execution
Execute multiple Claude Code agents in parallel using the cpo (Claude Parallel Orchestrator) CLI.
Primary Method: cpo CLI
The cpo tool handles all execution complexity: git worktrees, wave dependencies, and progress monitoring.
Installation
pip install claude-parallel-orchestrator
# or
pipx install claude-parallel-orchestrator
Commands
| Command | Description |
|---|---|
cpo validate <dir> | Validate manifest structure and prompts |
cpo run <dir> | Execute all waves (respects dependencies) |
cpo status <dir> | Check execution status |
Basic Workflow
# 1. Validate before execution
cpo validate parallel/TS-0042-inventory-system/
# 2. Execute parallel agents
cpo run parallel/TS-0042-inventory-system/
# 3. Monitor progress (in another terminal)
cpo status parallel/TS-0042-inventory-system/
What cpo run Does
- Validates manifest.json structure and prompt files
- Creates git worktrees for each task (isolated workspaces)
- Launches agents in parallel (respects wave dependencies)
- Monitors progress with live output
- Collects results in
logs/andreport.json
Wave Execution
Tasks execute in waves based on dependencies:
Wave 1: task-001, task-002, task-003 (parallel - no deps)
↓ wait for completion
Wave 2: task-004, task-005 (parallel - depend on Wave 1)
↓ wait for completion
Wave 3: task-006 (sequential - depend on Wave 2)
Each wave waits for all tasks in the previous wave to complete before starting.
Agent Permissions
Agents run with --dangerously-skip-permissions because they're isolated in worktrees:
- Each agent runs in its own git worktree
- Agents can only affect files in their workspace
- Main branch remains protected until explicit merge
Alternative: Claude Code SDK
For programmatic orchestration in CI/CD or custom workflows:
// orchestrator.ts
import { ClaudeAgent } from '@anthropic-ai/claude-agent-sdk';
import { readdir, readFile } from 'fs/promises';
import { join } from 'path';
async function runParallelTasks(parallelDir: string) {
const tasksDir = join(parallelDir, 'tasks');
const contextFile = join(parallelDir, 'context.md');
const context = await readFile(contextFile, 'utf-8');
const tasks = await readdir(tasksDir);
const agents = tasks
.filter(f => f.endsWith('.md'))
.map(async (taskFile) => {
const taskPath = join(tasksDir, taskFile);
const taskContent = await readFile(taskPath, 'utf-8');
const agent = new ClaudeAgent({
systemPrompt: `You are implementing a task.
Context: ${context}
Follow contracts in ${parallelDir}/contracts/.`,
});
return agent.run(`Execute this task:\n\n${taskContent}`);
});
const results = await Promise.all(agents);
return results;
}
runParallelTasks('parallel/TS-0042-inventory-system');
Completion Detection
Agents signal completion by creating a marker file:
touch .claude-task-complete
This enables:
cpoto detect task completion- Wave coordination (wait for all tasks before next wave)
- Status reporting
Execution Patterns
| Method | Best For | Parallelism |
|---|---|---|
| cpo CLI | Standard workflow, most users | True parallel with wave deps |
| Claude Code SDK | CI/CD, custom orchestration | Fully programmable |
Tips for Success
- Validate first: Always run
cpo validatebeforecpo run - Start small: Test with 2-3 parallel agents before scaling up
- Monitor resources: Limit concurrent agents based on machine capacity
- Check logs: Review
logs/task-*.logfor debugging - Run integration: Use
/parallel-integrateafter all tasks complete
Output Files
After execution:
parallel/TS-0042-inventory-system/
logs/
task-001.log # Agent output
task-002.log
...
report.json # Execution summary
integration-report.md # Generated by /parallel-integrate
Related
parallel-agentsskill: Overall workflow and directory structureparallel-decomposeskill: Creating tasks before executionparallel-prompt-generatorskill: Generate prompts from task specsagent-toolsskill: Tool permissions (for granular control)/parallel-integratecommand: Post-execution verification
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