[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-related-ja-jiep-offensive-ai-compilation":3},{"items":4,"total":102,"page":103,"pageSize":104},[5,25,51,68,86],{"slug":6,"name":7,"title":7,"skillCategorySlug":8,"summary":9,"description":10,"skillCategoryName":11,"sourceUrl":12,"downloadUrl":13,"cliCommand":14,"authorName":-1,"version":-1,"license":15,"stars":16,"trendScore":17,"qualityScore":18,"recommendedTools":19,"recommendedToolNames":19,"supportedClients":20,"clients":21,"tags":22,"installHint":14,"useCases":23,"updatedAt":24},"obra-superpowers","obra\u002Fsuperpowers","devtools","An agentic skills framework & software development methodology that works.","Superpowers is a complete software development methodology for your coding agents, built on top of a set of composable skills and some initial instructions that make sure your agent uses them.\n\nWe're hiring someone to help out full time with Superpowers community and code work. You can read about the job at https:\u002F\u002Fprimeradiant.com\u002Fjobs\u002Fsuperpowers-community-engineer\u002F If this sounds like someone you know, definitely send them our way.\n\nIt starts from the moment you fire up your coding agent. As soon as it sees that you're building something, it doesn't just jump into trying to write code. Instead, it steps back and asks you what you're really trying to do.\n\nOnce it's teased a spec out of the conversation, it shows it to you in chunks short enough to actually read and digest.","Developer tools","https:\u002F\u002Fgithub.com\u002Fobra\u002Fsuperpowers","https:\u002F\u002Fgithub.com\u002Fobra\u002Fsuperpowers\u002Farchive\u002FHEAD.zip","npx skillfish add obra\u002Fsuperpowers","MIT",298936,100,77,[],[],[],[8,15],[],"2026-08-30T04:40:46.726611",{"slug":26,"name":27,"title":27,"skillCategorySlug":8,"summary":28,"description":29,"skillCategoryName":11,"sourceUrl":30,"downloadUrl":31,"cliCommand":32,"authorName":-1,"version":-1,"license":33,"stars":34,"trendScore":17,"qualityScore":35,"recommendedTools":36,"recommendedToolNames":36,"supportedClients":37,"clients":40,"tags":48,"installHint":32,"useCases":49,"updatedAt":50},"pbakaus-impeccable","pbakaus\u002Fimpeccable","The design language that makes your AI harness better at design.","Design guidance for AI coding agents. 1 skill, 23 commands, live browser iteration, and 45 deterministic detector rules for AI-generated frontend design.\n\nFrom your project root, run npx impeccable install, then run \u002Fimpeccable init inside your AI coding tool. Full docs: impeccable.style.\n\nAnthropic's frontend-design was the first widely-used design skill for Claude. Impeccable started from there.\n\nEvery model trained on the same SaaS templates. Skip the guidance and you get the same handful of tells on every project: Inter for everything, purple-to-blue gradients, cards nested in cards, gray text on colored backgrounds, the rounded-square icon tile above every heading.\n\nImpeccable adds: - \u002Fimpeccable init writes PRODUCT.md and offers DESIGN.md, so later commands know the audience, brand\u002Fproduct lane, voice, anti-references, colors, type, and components. - A shared design vocabulary with your AI: polish, audit, critique, distill, animate, bolder, quieter, and more.","https:\u002F\u002Fgithub.com\u002Fpbakaus\u002Fimpeccable","https:\u002F\u002Fgithub.com\u002Fpbakaus\u002Fimpeccable\u002Farchive\u002FHEAD.zip","npx skillfish add pbakaus\u002Fimpeccable","Apache-2.0",81231,84,[],[38,39],"cursor","vscode",[41,45],{"slug":38,"name":42,"summary":43,"count":44},"Cursor","開発者向け MCP サーバーとよく使われる AI コードエディタ。",0,{"slug":39,"name":46,"summary":47,"count":44},"VS Code","MCP サーバーでコーディングとローカル自動化を支えるエディタエコシステム。",[8,33],[],"2026-08-30T04:41:25.694275",{"slug":52,"name":53,"title":53,"skillCategorySlug":8,"summary":54,"description":55,"skillCategoryName":11,"sourceUrl":56,"downloadUrl":57,"cliCommand":58,"authorName":-1,"version":-1,"license":59,"stars":60,"trendScore":17,"qualityScore":61,"recommendedTools":62,"recommendedToolNames":62,"supportedClients":63,"clients":64,"tags":65,"installHint":58,"useCases":66,"updatedAt":67},"code-yeongyu-oh-my-openagent","code-yeongyu\u002Foh-my-openagent","omo\u002Flazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode","We loved Anthropic models enough to get blocked. Now we are backing Codex. If you are an OmO fan but the setup felt like too much, use LazyCodex. OmO for Codex has shipped: Learn more at lazycodex.ai.\n\nWe are restructuring the codebase to support multiple agent harnesses (OpenCode, Codex, Pi, and others). If you are interested in contributing, please read the ROADMAP first. PRs related to roadmap work should use the ROADMAP label.\n\nThe maintainer builds and maintains oh-my-openagent in real-time with Jobdori, an AI assistant running on a heavily customized fork of OpenClaw. Every feature, every fix, every issue triage — live in our Discord.\n\nThis is oh-my-openagent, running Team Mode. With Kimi K2.6 and GPT-5.5.\n\nAnthropic They want you locked in. Claude Code is a nice prison, but it's still a prison. You don't need to pay $200 for 2 hours of work. The future isn't picking one winner; it's orchestrating them all. Models get cheaper every month. Smarter every month.","https:\u002F\u002Fgithub.com\u002Fcode-yeongyu\u002Foh-my-openagent","https:\u002F\u002Fgithub.com\u002Fcode-yeongyu\u002Foh-my-openagent\u002Farchive\u002FHEAD.zip","npx skillfish add code-yeongyu\u002Foh-my-openagent","NOASSERTION",70033,68,[],[],[],[8,59],[],"2026-08-30T08:28:10.975478",{"slug":69,"name":70,"title":70,"skillCategorySlug":8,"summary":71,"description":72,"skillCategoryName":11,"sourceUrl":73,"downloadUrl":74,"cliCommand":75,"authorName":-1,"version":-1,"license":76,"stars":77,"trendScore":17,"qualityScore":78,"recommendedTools":79,"recommendedToolNames":79,"supportedClients":80,"clients":81,"tags":83,"installHint":75,"useCases":84,"updatedAt":85},"asgeirtj-system-prompts-leaks","asgeirtj\u002Fsystem_prompts_leaks","Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity.","The full verbatim system prompts behind the most popular chatbots in the world. Carefully curated and complete. Feel free to open up a PR or get in contact if you got a different result.\n\nbuilt its interactive story on prompts from this repo: See the hidden rules behind AI. Then use them to rewrite this article. (May 11, 2026)\n\nbuilt an interactive breakdown of what is inside system prompts, topic by topic, from this repo's files: System prompts and what they tell us about the chat before the chat (July 10, 2026)\n\ncalls it \"the most thorough leaked system prompt collection I know of\": ChatGPT search now uses the site: operator at scale (August 20, 2026)","https:\u002F\u002Fgithub.com\u002Fasgeirtj\u002Fsystem_prompts_leaks","https:\u002F\u002Fgithub.com\u002Fasgeirtj\u002Fsystem_prompts_leaks\u002Farchive\u002FHEAD.zip","npx skillfish add asgeirtj\u002Fsystem_prompts_leaks","CC0-1.0",69620,66,[],[39],[82],{"slug":39,"name":46,"summary":47,"count":44},[8,76],[],"2026-10-13T01:54:07.525239",{"slug":87,"name":88,"title":88,"skillCategorySlug":8,"summary":89,"description":90,"skillCategoryName":11,"sourceUrl":91,"downloadUrl":92,"cliCommand":93,"authorName":-1,"version":-1,"license":33,"stars":94,"trendScore":17,"qualityScore":95,"recommendedTools":96,"recommendedToolNames":96,"supportedClients":97,"clients":98,"tags":99,"installHint":93,"useCases":100,"updatedAt":101},"mem0ai-mem0","mem0ai\u002Fmem0","Universal memory layer for AI Agents","📄 Benchmarking Mem0's token-efficient memory algorithm →\n\nAll benchmarks run on the same production-representative model stack. Single-pass retrieval (one call, no agentic loops).\n\n- -- one LLM call, no UPDATE\u002FDELETE. Memories accumulate; nothing is overwritten. - -- when an agent confirms an action, that information is now stored with equal weight. - -- entities are extracted, embedded, and linked across memories for retrieval boosting. - -- semantic, BM25 keyword, and entity matching scored in parallel and fused. - -- time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.\n\nSee the migration guide for upgrade instructions. The evaluation framework is open-sourced so anyone can reproduce the numbers.\n\n- -- +20 points over the previous algorithm - -- +27 points, with +53.","https:\u002F\u002Fgithub.com\u002Fmem0ai\u002Fmem0","https:\u002F\u002Fgithub.com\u002Fmem0ai\u002Fmem0\u002Farchive\u002FHEAD.zip","npx skillfish add mem0ai\u002Fmem0",67164,81,[],[],[],[8,33],[],"2026-08-30T04:40:58.712937",5373,1,5]