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    jpoutrin

    parallel-execution

    jpoutrin/parallel-execution
    Productivity
    6

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
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      OpenClaw
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    ├─
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    └─

    About

    Execute multiple Claude Code agents in parallel using the cpo CLI tool. Use when running parallel tasks, monitoring execution, or understanding the execution workflow.

    SKILL.md

    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

    1. Validates manifest.json structure and prompt files
    2. Creates git worktrees for each task (isolated workspaces)
    3. Launches agents in parallel (respects wave dependencies)
    4. Monitors progress with live output
    5. Collects results in logs/ and report.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:

    • cpo to 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

    1. Validate first: Always run cpo validate before cpo run
    2. Start small: Test with 2-3 parallel agents before scaling up
    3. Monitor resources: Limit concurrent agents based on machine capacity
    4. Check logs: Review logs/task-*.log for debugging
    5. Run integration: Use /parallel-integrate after 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-agents skill: Overall workflow and directory structure
    • parallel-decompose skill: Creating tasks before execution
    • parallel-prompt-generator skill: Generate prompts from task specs
    • agent-tools skill: Tool permissions (for granular control)
    • /parallel-integrate command: Post-execution verification
    Recommended Servers
    Parallel Tasks
    Parallel Tasks
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    Codeinterpreter
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    Vercel Grep
    Repository
    jpoutrin/product-forge
    Files