pthreadlisted

# Parallel Thread Execution (P-Thread) Scale compute by spawning multiple agents in parallel. This skill enables autonomous horizontal scaling for independent work. ## Core Principle When facing independent tasks, don't execute sequentially. Spawn parallel sub-agents and aggregate results. The system should make this decision autonomously based on task structure. ## When to Auto-Parallelize The system should automatically parallelize when: 1. **Multiple independent searches** - Finding different types of files/patterns 2. **Multi-file analysis** - Reviewing separate modules that don't interact 3. **Exploration tasks** - Investigating multiple hypotheses simultaneously 4. **Fusion patterns** - Getting multiple perspectives on the same problem ## Implementation Pattern ### Using Claude Code Task Tool ```python # Spawn parallel sub-agents for independent work # Each agent gets focused context and clear success criteria # Example: Parallel codebase exploration tasks = [ {"agent": "Explore", "prompt": "Find all authentication handlers"}, {"agent": "Explore", "prompt": "Find all API endpoint definitions"}, {"agent": "Explore", "prompt": "Find all database models"}, ] # Launch all simultaneously - don't wait for sequential completion for task in tasks: spawn_subagent(task, run_in_background=True) # Aggregate results when all complete ``` ### Decision Logic ``` IF task has independent subtasks: - Identify subtask boundaries - Spawn sub-agent per