dispatching-parallel-agents
Split work across parallel subagents and coordinate their outputs
Split work across parallel subagents and coordinate their outputs
npx skills add https://github.com/obra/superpowers/tree/main/skills/dispatching-parallel-agentsSplit work across parallel subagents and coordinate their outputs
This repo contains 13 individual skills — each has its own dedicated page.
Structured ideation and problem decomposition frameworks
Execute a plan step-by-step with checkpoints and verification at each stage
Branch close checklist: tests, commit message, pull request, and review request
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Prepare code for review: self-review, test coverage, and pull request description
Orchestrate specialized subagents for different parts of a task
Hypothesis-driven debugging loop: observe, hypothesize, test, verify
TDD loop: write the failing test first, implement the minimal change, verify, then refactor
Use git worktrees to run parallel agent sessions on separate branches
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
Force a verification pass before any task is marked done
Write structured implementation plans before starting complex tasks
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Evidence-first multi-agent debate skill: get a second opinion by pitting Codex × Claude Code (or GLM/DeepSeek/Qwen) to independently review, red-team & judge high-stakes code and architecture decisions.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for qwen code, cursor and kilo code.
🚀 Orchestrate multiple Codex agents on macOS with CodexMonitor, simplifying project management and enhancing workflow across local workspaces.
Private Skill distribution platform for AI coding agents: publish, install, update, and rollback team skills across Cursor, Claude Code, Codex, and OpenClaw with a minimal server + skb CLI.
Structured ideation and problem decomposition frameworks
AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.