Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Shpigford/chops Determine the next version, update the marketing site, and run the full release pipeline. | Skills | — |
EtienneLescot/n8n-as-code Use when the user explicitly wants to create, edit, validate, sync, or troubleshoot n8n workflows, asks about n8n nodes or automation, or wants to use n8n-as-code in the current context root. | Skills | — |
EtienneLescot/n8n-as-code Use when the user explicitly wants to create, edit, validate, sync, or troubleshoot n8n workflows, asks about n8n nodes or automation, or wants to use n8n-as-code in the current context root. | Skills | — |
flutter-it/get_it Expert guidance on get_it service locator and dependency injection for Flutter/Dart. Covers registration (singleton, factory, lazy, async), scopes with shadowing, async initialization with init() pattern, retrieval, testing with scope-based mocking, and production patterns. Use when working with get_it, dependency injection, service registration, scopes, or async initialization. | Skills | — |
flutter-it/get_it Architecture guidance for Flutter apps using the flutter_it construction set (get_it, watch_it, command_it, listen_it). Covers Pragmatic Flutter Architecture (PFA) with Services/Managers/Views, feature-based project structure, manager pattern, proxy pattern with optimistic updates and override fields, DataRepository with reference counting, scoped services, widget granularity, testing, and best practices. Use when designing app architecture, structuring Flutter projects, implementing managers or proxies, or planning feature organization. | Skills | — |
jangviktor-web/nihaixia 倪海厦(1954-2012)台湾中医师,经方派代表人物,汉唐中医创始人。 核心心智模型:六经辨证、阳气论、经典至上、经方为主。 决策启发式:先辨六经再选方、阳气不足先扶阳、经典原方最可靠。 触发词:「倪海厦」「海厦视角」「中医倪海厦」「经方思维」「倪海厦会怎么看」「倪师」。 知识库覆盖:伤寒论129条全+金匮23篇+黄帝内经18篇+针灸教程+神农本草经345种+天纪+849医案(按疾病分类6个模块)+梁冬对话+口述表达DNA+六经辨证诊断公式(8个公式+快速诊断流程图+脉舌速查+合病并病速查+真寒假热鉴别+七步走思维模式)。 基于一手素材:梁冬对话录音稿、人纪班闭门课记录、医案集、神农本草经视频讲义。版本:2026-05-23 StableV2026.5.23+Bencao。 | Skills | — |
OpenRaiser/NanoResearch Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem. | Skills | — |
OpenRaiser/NanoResearch Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput. | Skills | — |
OpenRaiser/NanoResearch Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows. | Skills | — |
OpenRaiser/NanoResearch Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper. | Skills | — |
OpenRaiser/NanoResearch Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort. | Skills | — |
OpenRaiser/NanoResearch Draft a LaTeX research paper from all previous stage outputs | Skills | — |
OpenRaiser/NanoResearch Produce an experiment blueprint from a research hypothesis | Skills | — |
OpenRaiser/NanoResearch Search academic literature and generate research hypotheses | Skills | — |
OpenRaiser/NanoResearch Generate a Python code skeleton from an experiment blueprint | Skills | — |
AgriciDaniel/claude-blog Full-lifecycle blog engine with 31 sub-skills, 12 templates, 100-point scoring, and 5 agents. Routes requests to the right sub-skill: writing, rewriting, analysis, outlines, audits, schema, charts, images, repurposing, AI citation SEO, FLOW prompts, topic clusters, and multilingual publishing. Optimized for Google rankings, E-E-A-T, and AI citations. Supports any platform. Use when user says "blog", "blog post", "blog audit", "topic cluster", "multilingual blog", or any /blog subcommand. | Skills | — |
AgriciDaniel/claude-blog Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, evidence-backed explanations, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, optional FAQ sections, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post". | Skills | — |
AgriciDaniel/claude-blog Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and evidence-backed explanations. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol". | Skills | — |
AgriciDaniel/claude-blog Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for AI-citation SEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation". | Skills | — |
AgriciDaniel/claude-blog Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, structured data presence and validity, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use when user says "seo check", "check seo", "validate seo", "blog seo", "seo validation", "on-page seo", "title tag check", "meta description check", "heading check", "link audit". | Skills | — |
Can't find what you're looking for? Evaluate a missing skill.