GitHub – obra/superpowers: An agentic skills framework & software development methodology that works.

**Superpowers: A Smarter Way to Work With Your Coding Agent**

Have you ever asked a coding agent to build something… and it just *ran with it*? No plan, no clarification, just code flying everywhere. I’ve been there. At first it feels productive. Then you realize you’re knee‑deep in features you didn’t need, tests you forgot, and logic that somehow drifted off course.

That’s exactly the problem Superpowers is trying to solve.

The project, available here: https://github.com/obra/superpowers, introduces an agentic skills framework that reshapes how coding agents behave from the very first prompt. Instead of jumping straight into implementation, the agent pauses and asks what you’re actually trying to achieve. It teases out a proper spec. It presents the design in small, readable chunks. You approve it. Only then does it move forward.

That alone changes everything.

Once the design is locked in, Superpowers creates a clear implementation plan. Think of it as instructions detailed enough for an eager junior developer to follow without guessing. It enforces red‑green test driven development, encourages YAGNI (you aren’t gonna need it), and keeps things DRY. Practical guardrails, not vague advice.

Then comes the interesting part. The system uses subagents to execute tasks step by step, reviewing work in two stages, first against the spec, then for quality. It can run autonomously for long stretches without drifting. And because the skills trigger automatically, you don’t have to micromanage the process. You just start a session and the right workflow kicks in.

There’s support for platforms like Claude Code, Cursor, Codex, and OpenCode, with slightly different setup paths. Once installed, you simply ask to plan a feature or debug something, and the framework activates.

What I appreciate most is the mindset shift. It treats software development as a disciplined process, not a race to generate code. And as agents become more capable, having structure like this won’t feel optional. It’ll feel essential.

If you’re building serious projects with AI, this is worth exploring.