aicoolies logo

Superpowers

Agentic skills framework for disciplined coding-agent workflows

Share
open-sourceOpen Source
Visit Website →

Superpowers is an MIT-licensed agentic skills framework and software-development methodology for coding agents. It packages repeatable workflows such as brainstorming, specs, implementation plans, TDD execution, subagent-driven development, and structured review so teams can move from ad hoc prompting to disciplined agent-assisted software delivery.

We have a review for this tool

A detailed review by the aicoolies team — click to read

Superpowers methodology

Superpowers is an MIT-licensed agentic skills framework and software-development methodology for coding agents. Instead of treating an agent session as a single prompt, it packages repeatable workflows for brainstorming, writing specs, creating implementation plans, practicing test-driven development, coordinating subagent-driven execution, and running structured reviews. The goal is to make agent-assisted software work more explicit, reviewable, and repeatable across real projects.

The framework is most useful for teams that use Claude Code, Cursor, Codex, Gemini CLI, OpenCode, or similar coding-agent hosts and want a common process layer across them. Superpowers-style skills help the agent ask for requirements, break work into smaller tasks, run verification steps, and hand off changes with clearer review context. That makes it a methodology repository as much as a tool: the value is in codifying how agents should work, not just adding another command or prompt snippet.

Adoption still requires judgment. Teams need to review the skills and any supporting scripts, decide which repositories may use them, and keep command execution, secrets, and subagent behavior within their normal engineering controls. The repository has very strong public traction, so long-lived copy should use conservative dated language such as 200K+ GitHub stars in June 2026 rather than exact live counters. Model subscriptions, API usage, host-specific setup, and ongoing skill maintenance remain separate from the free MIT-licensed repository.

Pricing

Free and open source under MIT; users still need their chosen coding-agent/model subscriptions or API access.

Platforms

Skill and methodology repository for coding-agent hosts such as Claude Code, Cursor, Codex, Gemini CLI, and OpenCode; exact host setup should be checked from the repo.

Categories

Tags

Use Cases

Alternatives

Related Tools

Ghostty logo

Ghostty

Top Pick

Fast, native terminal emulator

GPU-accelerated terminal emulator written in Zig by Mitchell Hashimoto (HashiCorp co-founder). Native UI rendering on macOS and Linux. Supports ligatures, true color, Kitty graphics protocol, and splits/tabs. Configurable via a simple key-value file with sensible defaults. Open-source with 20K+ GitHub stars and a focus on correctness, speed, and minimal resource usage. Growing as a modern alternative to iTerm2, Alacritty, and WezTerm.

open-sourceOpen Source
Claude Code logo

Claude Code

Top Pick

Anthropic's agentic coding CLI

Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.

paidOpen Source
pi dev code

Pi

Top Pick

Minimal terminal coding harness

Pi Coding Agent is an MIT-licensed Node.js CLI from earendil-works for building and running coding agents in a local terminal. The current package describes a read/bash/edit/write toolset and session management, while the repo positions Pi as a unified LLM API, agent loop, TUI, and coding-agent CLI. It is best framed as a lean, self-extensible BYO-model toolkit rather than a managed IDE.

open-sourceOpen Source
OpenCode logo

OpenCode

Top Pick

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

open-source
Codex logo

Codex

Top Pick

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

freemiumOpen Source
BeeAI Framework logo

BeeAI Framework

Python and TypeScript framework for production multi-agent systems

BeeAI Framework is an Apache-2.0 toolkit for building production-ready AI agents and multi-agent systems in Python and TypeScript. Its docs cover agents, tools, RAG, memory, workflows, backend providers, serving, and A2A/MCP integration surfaces, making it a vendor-neutral option for teams comparing LangGraph, CrewAI, Mastra, and related agent runtimes.

open-sourceOpen SourceTelemetry

Comparisons