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Superpowers — Agentic Skills Framework for AI Coding

obra/superpowers

Superpowers is a comprehensive framework that provides AI coding agents with a structured software development methodology and a suite of composable skills. It guides agents through a systematic workflow from brainstorming to code review and completion.

SSuperpowers — Agentic Skills Framework for AI Coding — open-source GitHub repository preview
Quick verdict

Superpowers offers a structured, TDD-focused methodology for AI coding agents, enhancing their systematic approach and autonomy in software development. It's suitable for developers aiming to improve agent reliability and workflow adherence.

Stars
★ 251.6k
Forks
⑂ 22.4k
Language
Shell
License
MIT
Topic
AI Tools
Updated
Jul 2026
Homepage
GitHub

The problem it solves

AI coding agents often lack structured development processes, leading to ad-hoc code generation without proper planning, design, or adherence to best practices like Test-Driven Development (TDD). This can result in unstructured, error-prone, or off-spec software.

What is it?

Superpowers is an agentic skills framework and software development methodology designed to equip AI coding agents with a systematic approach to software development. It integrates a library of skills that guide agents through phases like design, planning, implementation, and review, enforcing practices such as TDD and subagent-driven development across various AI coding platforms.

Why it's getting attention

With over 250,000 stars and its focus on AI, brainstorming, and software development lifecycle (SDLC) topics, Superpowers is a notable framework for enhancing the capabilities of AI coding agents.

How this repository's GitHub stars have grown over time. Source: star-history.com.View the star history

Key features

  • Agentic skills framework for AI coding
  • Complete software development methodology for agents
  • Supports subagent-driven development processes
  • Enforces Test-Driven Development (TDD) and other best practices
  • Provides a structured workflow from brainstorming to code review
  • Integrates with multiple AI coding platforms (e.g., Claude, Cursor)
  • Includes a skills library for testing, debugging, and collaboration

Best use cases

  • Guiding AI agents through full software development cycles
  • Automating TDD practices within agent-generated code
  • Facilitating structured design and implementation planning by AI
  • Enabling parallel development with Git worktrees via agent orchestration
  • Enhancing AI agent adherence to engineering best practices

How to install / try

Installation instructions are provided for various AI coding harnesses, including Claude Code, Antigravity, Codex App/CLI, Cursor, Factory Droid, GitHub Copilot CLI, Kimi Code, OpenCode, and Pi. The process typically involves using plugin installation commands specific to each platform or selecting Superpowers from their respective marketplaces.

How to use

Once installed with a compatible coding agent, Superpowers activates automatically. It guides the agent through a systematic workflow starting with brainstorming to refine ideas, creating implementation plans, and executing tasks via subagent-driven development. The framework enforces TDD and review steps, with skills triggering automatically.

Strengths

  • Offers a comprehensive, structured methodology for AI agents
  • Enforces core engineering best practices like TDD, YAGNI, and DRY
  • Supports autonomous subagent-driven development for task execution
  • Integrates with a wide range of popular AI coding platforms
  • Provides a modular skills library for various development phases
  • Aims to reduce ad-hoc coding by AI agents through systematic processes

Limitations & risks

  • Requires separate installation for each AI coding harness used
  • The project generally does not accept contributions of new skills
  • Skill updates must ensure compatibility across all supported coding agents
  • Functionality is dependent on specific AI agent platforms, not a standalone tool
View on GitHub

Alternatives

AutoGPT (general autonomous agent framework)LangChain (framework for developing applications with LLMs)BabyAGI (task-driven autonomous agent system)CrewAI (framework for orchestrating multi-agent systems)

Who should try it — and who should skip

Developers and teams utilizing AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot CLI) who want to enforce structured software development methodologies, Test-Driven Development, and a systematic workflow for their agents. Individuals seeking a standalone, agent-agnostic coding tool or who need to frequently contribute new custom skills to the core framework might find it less suitable.

Frequently asked questions

What is Superpowers for AI agents?

Superpowers is an agentic skills framework and software development methodology designed to give AI coding agents a structured, systematic approach to building software.

Which AI coding platforms are compatible with Superpowers?

Superpowers supports integration with platforms such as Claude Code, Antigravity, Codex App/CLI, Cursor, Factory Droid, GitHub Copilot CLI, Kimi Code, OpenCode, and Pi.

What development practices does Superpowers emphasize?

It strongly emphasizes Test-Driven Development (TDD), systematic problem-solving over ad-hoc methods, complexity reduction, and evidence-based verification.

Can users contribute new skills to the Superpowers framework?

The project generally does not accept contributions of new skills, and any proposed updates must maintain compatibility across all supported coding agents.

Related repositories

Source & attribution

GitHub URL: https://github.com/obra/superpowers · data last checked: 2024-07-30 · metrics last synced: 2024-07-30

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