superpowers
get-shit-done
| superpowers | get-shit-done | |
|---|---|---|
| 71 | 14 | |
| 223,236 | 64,165 | |
| 22.7% | 11.2% | |
| 9.7 | 10.0 | |
| 3 days ago | 13 days ago | |
| Shell | JavaScript | |
| MIT License | MIT License |
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
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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
get-shit-done
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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.
- Get Shit Done: A Meta-Prompting, Context Engineering and Spec-Driven Dev System
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Stop prompting. Let the AI interview you to build specs
Great idea, and some of the tools are already somewhat covering it, e.g. GSD or spec-kit.
https://github.com/gsd-build/get-shit-done
https://github.com/github/spec-kit
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Evaluating AGENTS.md: are they helpful for coding agents?
CLAUDE.md isn't a silver bullet either, I've had it lose context a couple of questions deep. I do like GSD[1] though, it's been a great addition to the stack. I also use multiple LLMs as a judge for PRs, which captures a load of issues too.
[1] https://github.com/gsd-build/get-shit-done
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How I Used AI to Build a Programming Language with Actors, an ORM, and a SaaS Backend in 12 Days
The model handled the implementation velocity. GSD, an open-source spec-driven development system, kept it on the rails. Every feature followed a strict pipeline from research to plan to atomic commit. The codebase was shippable after every single step.
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I Let Opus 4.6 and GSD Build a Programming Language
GSD: https://github.com/gsd-build/get-shit-done
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Ask HN: Why is Claude so horrible? Are they paying people to glaze it on X?
I’ve had good luck using https://github.com/gsd-build/get-shit-done
It will ask you questions, break down the project into smaller tasks, work through them one by one with UAT check points along the way.
It also handles managing your context
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LLMs are powerful, but enterprises are deterministic by nature
Your task is certainly doable though.
You can ask AI to focus on the functional aspects and create a design-only document. It can do that in chunks. You don't need to know about COBOL best practices now, that's an implementation detail. Is the plan to modernize the COBOL codebase or to rewrite in a different language?
See what this skill does in Claude Code, you want something similar: https://github.com/glittercowboy/get-shit-done/blob/main/get...
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How to effectively write quality code with AI
The GSD tool (get-shit-done) automates a very similar process to this, and has been mind-blowing for larger projects and refactors.
https://github.com/glittercowboy/get-shit-done
You still need to know the hard parts: precisely what you want to build, all domain/business knowledge questions solved, but this tool automates the rest of the coding and documentation and testing.
It's going to be a wild future for software development...
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GPT-5.3-Codex
https://github.com/glittercowboy/get-shit-done
The way "Phases" are handled is incredible with research then planning, then execution and no context rot because behind the scenes everything is being saved in a State.md file...
I'm on Phase 41 of my own project and the reliability and almost absence of any error is amazing. Investigate and see if its a fit for you. The PAL MCP you can setup to have Gemini with its large context review what Claude codes.
What are some alternatives?
BMAD-METHOD - Breakthrough Method for Agile Ai Driven Development
compound-engineering-plugin - Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
spec-kit - 💫 Toolkit to help you get started with Spec-Driven Development
cc-mirror - Create multiple isolated Claude Code variants with custom providers (Z.ai, MiniMax, OpenRouter, LiteLLM)
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.
uiua - A tacit array programming language