superpowers
An agentic skills framework & software development methodology that works. (by obra)
dataclaw
Agent harness to publish your history from Claude Code et al. as Huggingface datasets. (by peteromallet)
| superpowers | dataclaw | |
|---|---|---|
| 71 | 4 | |
| 223,236 | 2,095 | |
| 22.7% | 1.8% | |
| 9.7 | 9.0 | |
| 3 days ago | 8 days ago | |
| Shell | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
superpowers
Posts with mentions or reviews of superpowers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-06-13.
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Loopcraft: Stop Prompting, Start Designing Loops
Meanwhile, the ecosystem materialized. obra/superpowers shipped a complete software development methodology built on composable skills — 1,276+ stars and growing. The cobusgreyling/loop-engineering repo cataloged patterns from Osmani and Cherny into a practical reference.
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From Fallacies to Superpowers: Eight Agent Skills That Make AI-Assisted Development Work
Projects like Superpowers proved that agents can follow structured methodologies — brainstorm before coding, write tests before implementation, review against specs before declaring success. The skills are mandatory workflows, not suggestions. The agent checks for relevant skills before any task.
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Spec-Driven Development with OpenSpec
If you're looking for complementary skills and plugins then have a look at Addy Osmani's Agent Skills or Superpowers, both provide essential coding assistant skills like Test-Driven Development (TDD). OpenSpec provides consistency, and your workflow can evolve around it.
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What I Got Wrong About Claude Code (And How I Fixed It)
Before any implementation, I plan. I use the brainstorming skill from Superpowers to think through the approach, then Grill Me - a separate skill that probes for contradictions, gaps, and missing assumptions, question by question. Once I'm satisfied, I save the result as a PRD and move to writing-plans (also from Superpowers), which produces a detailed implementation plan: class names, properties, architecture, tests.
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Spec-Driven Development: When Structure Helps and When It Becomes Tax
These don't replace the spec; they govern how the agent acts on it. Superpowers uses guided Q&A to clarify intent, then runs sub-agents behind a verification-before-completion gate. GSD manages context in waves for solo developers. HVE Core runs an RPI loop: Research, Plan, Implement, Review.
- Codex app plugin integration can be better?
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Show HN: Promptloop – create, run, and improve prompt evals from the terminal
> It would be extremely cool to be able to write one or two lines of prompt in my harness, and have a light model iterate with me a few times writing/proposing requirements, guidelines and explanations, refining the prompt until it's ready to be sent to the actual LLM.
I feel like the vast majority of AI-using coders already do this via skills suites like Superpowers (see /superpowers:brainstorming), no? https://github.com/obra/superpowers
- Superpowers: An Agentic Skills Framework for AI Coding Workflows
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How I Make Claude Code's 5-Hour Usage Window Last Longer on Claude Pro
I sometimes use Superpowers skills such as writing-plan and writing-spec. The Superpowers brainstorming skill stores design specs under docs/superpowers/specs/YYYY-MM-DD--design.md, and the writing-plans skill stores implementation plans under docs/superpowers/plans/YYYY-MM-DD-.md. (GitHub, GitHub)
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How Superpowers Forces Skill Execution
obra/superpowers – GitHub
dataclaw
Posts with mentions or reviews of dataclaw.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-04-14.
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Claude Code Routines
There is DataClaw https://github.com/peteromallet/dataclaw which uploads your Claude Code chats and more to HuggingFace in a single commands. Nowadays there are many similar tools.
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If AI writes code, should the session be part of the commit?
That's exactly one of the reasons I've been archiving the sessions using DataClaw. The sessions can contain more useful information than the comments for humans.
[0] https://github.com/peteromallet/dataclaw
- DataClaw: Publish your Claude Code chats to HuggingFace with a single command
What are some alternatives?
When comparing superpowers and dataclaw you can also consider the following projects:
BMAD-METHOD - Breakthrough Method for Agile Ai Driven Development
ai-session - Persist Claude Code conversation transcripts as git artifacts, linked bidirectionally to commits and PRs.
spec-kit - 💫 Toolkit to help you get started with Spec-Driven Development
git-ai - A Git extension for tracking the AI-generated code in your repos
claude-code - Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
agent-trace - A standard format for tracing AI-generated code.