Build a feature with an AI agent that first clarifies requirements and gets your approval before coding.
Run test-driven development workflows where the agent writes failing tests, then implementation, then refactors.
Have an AI agent propose and execute a detailed plan for a non-trivial task, with code review at each step.
Integrate disciplined AI-assisted development into your existing coding agent (Claude, Cursor, Copilot, etc.).
Superpowers is a complete software development methodology for AI coding agents, built as a set of composable skills plus initial instructions that ensure the agent actually uses them. The idea: instead of letting your AI agent jump straight into writing code when you ask it to build something, Superpowers makes the agent slow down, clarify what you actually want, propose a plan, and then execute it under a disciplined process.
It works by intercepting the moment you fire up your coding agent. The agent runs a brainstorming step that teases out a spec from conversation, then shows it back in chunks short enough for you to read and approve. Once approved, it builds an implementation plan detailed enough for an inexperienced engineer to follow, emphasizing test-driven development (red/green/refactor), YAGNI, and DRY. When you say go, it launches a subagent-driven development process where each engineering task is handled by a fresh subagent and reviewed for spec compliance and code quality before moving on. Skills cover brainstorming, plan-writing, git worktree isolation, executing plans, test-driven development, code review (both requesting and receiving), debugging, and a finishing-branch workflow that decides between merge, PR, keep, or discard.
You'd use Superpowers when you want a coding agent to behave like a careful engineer rather than a code-spewing autocomplete — especially for non-trivial tasks where missing requirements or skipping tests would cost you later. It supports many coding-agent harnesses including Claude Code, Codex CLI and App, Factory Droid, Gemini CLI, OpenCode, Cursor, and GitHub Copilot CLI, with separate install instructions for each. The codebase is shell-based, MIT-licensed, and built by Jesse Vincent. The full README is longer than what was provided.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.