awesome-claude-skills is a curated list repository of Claude Skills hosted on GitHub. According to the repository page information, the project's core purpose is to collect and organize Claude Skills resources, and to organize content through a categorized directory so that users can browse and find things easily. The Table of Contents on the repository page lists the following categories: Document Skills, Development and Code Tools, Data and Analysis, Science and Research Tools, Writing and Research, Learning and Knowledge, Media and Content, Health and Life Sciences, Collaboration and Project Management, Security and Web Testing, Utilities and Automation, Articles and Blog Posts, Collections, as well as contribution and contact entry points. These categories indicate that the list covers a variety of uses ranging from office document processing to software development, and from scientific research data analysis to content creation.
The specific entries included in the list consist of various Claude Skill projects or tool descriptions. For example, the Document Skills category lists docx (create, edit, and analyze Word documents, with support for revisions, comments, and formatting), pdf (extract text, tables, and metadata, merge and annotate PDFs), pptx (read, generate, and adjust slides, layouts, and templates), xlsx (spreadsheet operations: formulas, charts, data transformation), and others. The Development and Code Tools category includes test-driven-development, using-git-worktrees, finishing-a-development-branch, pypict-claude-skill, aws-skills, claude-starter, move-code-quality-skill, oiloil-ui-ux-guide, claude-code-terminal-title, charles-proxy-extract, debug-skill, plugin-authoring, azure-devops, claude-skills, jules, hashicorp-agent-skills, agnix, email-html-mjml, agent-cards-skill, Design Auditor, lightning-factory-explainer, lightning-channel-factories, lightning-architecture-review, Playwright Skill, Emblem AI Agent Wallet, unity-agent-skills, spartan-ai-toolkit, blueprint, agent-lsp, agenttrace-session-audit, aws-architecture-diagram-skill, Blueprint, harness-evolver, qdrant-skills, skill-optimizer, swarmclaw, and many other entries.
Under the Data and Analysis category can be seen csv-data-summarizer-claude-skill, notebooklm, postgres, mysql, mssql, kaggle-skill, octav-api-skill, recommendations, x-twitter-scraper, claude-ecom, chainaware-behavioral-prediction, crowdcast, coinpaprika-api, dexpaprika-api, gh-star-history, youtube-full, alpha-insights, and others. The Science and Research Tools category includes claude-scientific-skills, materials-simulation-skills, deep-research, manus, paper-search, Junshi, article-extractor, and others. The Writing and Research category includes content-research-writer, internal-comms, brainstorming, family-history-research, avoid-ai-writing, naming, ru-text, md2wechat, buyer-eval, en-zh-translation-polish, humanizer-ru, bullshit-detector, and others. The Learning and Knowledge category includes karpathy-llm-wiki, tapestry, ship-learn-next, llm-wiki, swarmvault, wiki, youtube-transcript, etc. Media and content categories include video-downloader, image-enhancer, imagen, elevenlabs, etc. The repository also mentions sections such as Collection, Contribution, and Contact, but the page does not display their full contents.
Regarding usage, applicable scenarios, and limitations, the repository page only provides a category list and brief descriptions of some entries, without giving unified installation steps, run commands, or system requirements. Therefore, how to specifically use each of these skills must be referenced in the independent documentation of each entry; this repository itself mainly serves as an index and navigation resource. The last sentence on the page, "elevenlabs - ", is truncated after that, and complete information is not provided.
