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An agentic skills framework & software development methodology that works.
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
90
review score
Problem solved
Unlike naive agent prompts that lead to sloppy, untested code, Superpowers imposes a rigorous software engineering process—spec-first, TDD, YAGNI, DRY, and subagent review—that prevents common agent pitfalls like over-engineering, lack of testing, and context loss. It enables agents to work autonomously for hours on complex tasks without deviating from the plan.
Deployment reality
The available setup signal starts with: For Claude Code: /plugin install superpowers@claude-plugins-official. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build full-stack applications, refactor large codebases, or implement complex features with minimal supervision. The framework supports multi-agent orchestration, automated testing, and iterative refinement, making it suitable for production-grade software development. Real-world use cases include building web apps, APIs, and data pipelines where code quality and reliability are paramount.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
obra/superpowers is tracked as a Shell project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 273k total stars, with +320 today, +3.2k this week, and +16k this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 62 days ago, and the open issue queue is 336, about 0.12% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 24k forks and 273k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 1 explicit source reference(s) for this report and a recent growth signal of 16k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
LimitedNeeds clearer source references.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
273k Stars
Reuse
24k Forks
Attention
273k Watchers
Maintenance
moderate
License
MIT
Open issues
336
Superpowers is a complete software development methodology for coding agents, built on composable skills and initial instructions that ensure agents use them effectively.
Key Features
- Brainstorming: Refines ideas through questions and saves a design document. - Subagent-driven development: Dispatches subagents for each task with two-stage review. - Test-driven development: Enforces RED-GREEN-REFACTOR cycle for reliable code.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
For Claude Code: /plugin install superpowers@claude-plugins-official80
Health Score
Moderate
Commit Activity
Oct 9, 2025
Created
Aug 13, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
obra
GitHub profileaffaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
NousResearch/hermes-agent
The agent that grows with you
mattpocock/skills
Skills for Real Engineers. Straight from my .agents directory.
anomalyco/opencode
The open source coding agent.
ultraworkers/claw-code
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
Unlike naive agent prompts that lead to sloppy, untested code, Superpowers imposes a rigorous software engineering process—spec-first, TDD, YAGNI, DRY, and subagent review—that prevents common agent pitfalls like over-engineering, lack of testing, and context loss. It enables agents to work autonomously for hours on complex tasks without deviating from the plan.
Capabilities
Developers can build full-stack applications, refactor large codebases, or implement complex features with minimal supervision. The framework supports multi-agent orchestration, automated testing, and iterative refinement, making it suitable for production-grade software development. Real-world use cases include building web apps, APIs, and data pipelines where code quality and reliability are paramount.
Bottom Line
Superpowers is ideal for developers who want their coding agents to produce production-quality code autonomously, especially on complex projects. It is less suited for quick prototyping or simple scripts where the overhead of the methodology outweighs the benefits. The key trade-off is upfront investment in learning the methodology for long-term gains in code quality and reduced supervision.