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A plugin marketplace with dozens of plugins: an enhanced skill-creator, scrapers for Bilibili, Douban and Feishu docs, China A-share news and US stock fundamentals, WeCom notifications, deep research and fact-checking, with docs in English and Chinese.

Connects LLMs to ROS and ROS 2 robots: publish and subscribe to topics, call services and actions, set parameters, and read sensor and robot state, without changing robot code. The robot side needs rosbridge running.

Lets Claude Code watch videos: extracts frames with ffmpeg and transcribes timestamped audio from local files or YouTube links, to review footage, summarize lectures or find on-screen text. Needs Node.js 20+ and ffmpeg (yt-dlp for YouTube); transcribe with local Whisper or a Gemini/OpenAI key.

Crawls an entire site, counts words and keywords per page, and checks technical SEO such as titles, meta descriptions, image alt text, H1s and social tags. Outputs JSON by default or an HTML report for agents to act on. Needs Python; the optional AI content review needs an API key.

Stem separation CLI built on UVR models: splits audio into vocals and accompaniment in one command, isolates drums, bass and other stems, or removes noise and reverb; handy for stripping background music or extracting clean vocals. Models download on first use; needs Python and FFmpeg.

Two-stage paper skills: planning studies the style of your target preprint server (e.g. PhilArchive, arXiv), finds gaps in the literature and scores a seven-dimension mock review; writing drafts and checks each chapter from the outline. Suits philosophy and interdisciplinary work; needs Python 3.

Turns a paper (arXiv link or PDF) into method diagrams, slides with a generated image per page (PPTX/PDF export) and an in-depth HTML explainer with formulas, for lab meetings and lectures. No API key; images use Codex's built-in generator or, in Claude Code, a separate image skill.

Adds voice conversations to Claude Code and other agents: speak, and it detects silence, transcribes, and reads replies aloud. Runs offline with local Whisper and Kokoro, or uses OpenAI's speech APIs; needs a microphone and speakers.

Opens HTML, Markdown or localhost pages in the browser via npx human-review so you can edit text directly and leave anchored comments, then sends every edit and comment back to the agent in one batch to apply to the source.

Community CLI for Feishu (Lark) focused on two-way conversion between Markdown and Feishu docs; also works with wikis, sheets, Bitable, messages, calendar, tasks and meeting notes, and ships 9 agent skills. Setup creates an app via QR scan; search and mail need extra user authorization.

Gives agents controlled access to MySQL: list databases and tables, inspect schemas and sample data, and run SQL, with multi-database mode, SSL and SSH tunnels. Configure your own database user, ideally with least privilege.

Submission skill packs tailored to 700+ journals and conferences, from AER, Nature and NEJM to top CS venues and leading Chinese journals, to revise papers to each venue's scope, style and requirements. Add its Claude Code marketplace per the README, then install packs per journal.

Generates book covers, movie posters, article covers and social images from one sentence, picking colors and composition from 30+ poster masters' styles to suit the subject. Rendering directly needs Python and a PipeLLM image API key; or just generate prompts for another image tool.

Local transcription that's compatible with the OpenAI Whisper CLI but faster and lighter: outputs SRT/VTT subtitles or text and can transcribe a live microphone. Needs Python; models download on first run; speaker labels need pyannote.audio and a Hugging Face token.

X's (formerly Twitter) official API command-line tool. Once authorized, agents can post for you, upload images and video, and query post and account data; it can also run as an MCP server for Claude. Needs an X developer account and app; the X API is pay-per-use, so buy credits first.

Web search and page reading for agents through a self-hosted or trusted SearXNG metasearch instance, with no paid search API key. Requires a SearXNG instance with JSON output enabled.

Marketing skills for the AI search era: brand positioning from a website URL, SEO/GEO keyword and AI prompt research, Reddit opportunities, content planning and writing, backlink plans, and audits of how citable your site is to AI. Some scripts need Node.js; site-code changes need a developer.

Pulls new papers from Hugging Face Daily Papers and arXiv, scores them by research area into a recommendation page, and writes deep-read Obsidian notes for key ones; can also batch-read Zotero collections. Needs Python 3, Obsidian and poppler; copy the whole skills folder per the README.

MathWorks' official toolkit for reading, building, modifying and testing Simulink models via the MATLAB MCP server, with skills for control design, Simscape, code generation and compliance checks. Needs licensed MATLAB R2023a+ and Simulink; run the official installer in MATLAB first.

LangChain's official skill collection: framework selection, quickstarts, middleware, persistence, human-in-the-loop approval, RAG and eval design across LangChain, LangGraph and Deep Agents, in Python and TypeScript. Also installable as a Claude Code plugin. Still in early development.

Plugin marketplace from obra, author of Superpowers: includes the superpowers engineering workflow, episodic-memory for searching past sessions, superpowers-chrome for browser control, elements-of-style writing guidance and more.

Connects agents to live Jupyter notebooks: read, write, insert and execute cells and read multimodal outputs like charts, for interactive data analysis. Bring your own JupyterLab or JupyterHub; open source, maintained by Datalayer.

200+ skills for brand growth: customer and competitor research, ad and social performance analysis, ad creatives and social content, SEO, lead mining and outreach. Most are free; skills that pull external data use GooseWorks account credits (1,000 on sign-up), and some need keys like Apify.

Breaks a rough explanation idea into a scene-by-scene storyboard, then writes animation code following best practices for Manim Community or 3Blue1Brown's ManimGL, for math and physics explainers in class demos and educational videos. Needs Python, FFmpeg and LaTeX installed locally.