superpowers
claude-code
| superpowers | claude-code | |
|---|---|---|
| 71 | 398 | |
| 223,236 | 131,775 | |
| 22.7% | 9.3% | |
| 9.7 | 9.7 | |
| 3 days ago | 3 days ago | |
| Shell | Python | |
| MIT License | GNU General Public License v3.0 or later |
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
claude-code
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Slightly reducing the sloppiness of AI generated front end
You really have to a) use Opus and b) use the frontend-design skill for decent results.
https://github.com/anthropics/claude-code/blob/main/plugins/...
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AI agent runs amok in Fedora and elsewhere
agents are everywhere nowadays, one left a long pointless comment on a bug report i submitted on github. well, a bug report that an agent submitted on my behalf. agents all the way down. maybe i'm part of the problem.
https://github.com/anthropics/claude-code/issues/66085
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Cybersecurity researchers aren't happy about the guardrails on Anthropic's Fable
https://github.com/anthropics/claude-code/issues/66780
Censored because I'm writing a paper. :)
Oh and forget learning about chemistry. Only criminals want to learn organic chemistry. :(
- Claude Desktop spins up a VM without no way of stopping it
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All 9,300 Japanese train station, animated by the year it opened (1872–2026)
Anthropic's own frontend-design skill attempts to do that. You can install it in Claude Code, or you can tweak it to be closer to your own style:
https://github.com/anthropics/claude-code/blob/main/plugins/...
But what I find works best is to point Claude at a design system documentation website (your own company's or another public source) and tell it to use that design style. It usually does OK, and the results are usually much more in line with that style and not as Claude-y.
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Claude Code Workflow: Best Practices That Ship Code"
Quick grounding for anyone new: Claude Code is Anthropic's official agentic coding tool — an AI coding assistant that lives in your terminal. It reads your codebase, edits files, runs commands, and integrates with your dev tools through natural language. It runs in the terminal, in VS Code/Cursor and JetBrains, in a desktop app, on the web at claude.ai/code, and in the Claude iOS app — all sharing the same engine, so your CLAUDE.md, settings, and MCP servers travel with you.
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Skill, MCP, Plugin, or just a CLI: how I pick a Claude Code extension, lightest first
anthropics/claude-code Issue #13717 (MCP at ~49% of context)
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Claude Desktop Request, LLM Learning Tool, and KV Cache Compression Boost
Source: https://github.com/anthropics/claude-code/issues/65697
- Anthropic, please ship an official Claude Desktop for Linux
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Why I Gave Up on Automatic Detection for Resuming Sessions in Claude Code
However, with the VSCode extension, even if I perform a /clear, the source is overwritten as startup. This is a known issue tracked in GitHub issue #49937. It works if you use the CLI alone, but it cannot be identified when using the extension.
What are some alternatives?
BMAD-METHOD - Breakthrough Method for Agile Ai Driven Development
iflow-cli - iFlow cli is a comprehensive command-line intelligence that embeds in your terminal, analyzes your repositories, does coding tasks, interprets your needs across contexts, and boosts efficiency by performing tasks from simple file operations to complex workflow automation.
spec-kit - 💫 Toolkit to help you get started with Spec-Driven Development
claude-code-router - Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
superpowers-skills - Community-editable skills for Claude Code's superpowers plugin
iflow-cli-action - Automate software development tasks within your GitHub repositories with iFlow CLI and AI ecosystem. https://github.com/iflow-ai/iflow-cli