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Brings the Brave Search API to agents: web, news, image, video and local business and place search, plus LLM-ready page context and AI summaries. Maintained by Brave; needs an API key.

User research skill: drafts research plans, screeners and interview guides, and turns transcripts into reports with coding tables, personas and priorities, no account needed. AI-moderated interviews, surveys and recruiting real or synthetic participants need a Cookiy AI account, billed per use.

Uses the Qdrant vector database as a semantic memory layer for agents: store information and retrieve it by meaning, connecting to a remote instance or a local path, with FastEmbed generating embeddings by default. Maintained by Qdrant.

Chinese-English translation and word lookup in the terminal: one command shows definitions, phonetics and examples from iCiba, Youdao and an LLM. No API key needed (built-in free LLM proxy), or use any OpenAI-compatible model. Needs Node.js 20+; queries are sent to these online services.

Motion design skill built on the ideas of design engineers Emil Kowalski, Jakub Krehel and Jhey Tompkins: builds animated UI components for your project type, or audits existing animations in an HTML report with looping demos. Use in a coding agent on a local frontend project.

Batch-normalizes audio and video loudness to standards like EBU R128, with presets for podcasts, music and streaming video; handy for evening out course recordings, podcasts and videos before publishing. Needs FFmpeg and Python 3.10+.

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.

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.

Sets up and audits i18n for React, Next.js and Vue apps: replaces hard-coded strings with message keys, checks that English and Chinese keys are complete and consistent, and verifies plurals and date and number formats, with a key audit script. Needs a local codebase and Python.

Builds conference talks, lab meeting decks, defenses, lectures and grant reports to academic norms: assertion-style titles, slides ordered by the argument, one cited chart per results slide, and a closing conclusions slide. Pair with Anthropic's pptx skill; on claude.ai, enable code execution.

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.

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.

Learning plugin for students and self-learners: /learn a topic to get a first-principles knowledge graph; it quizzes you before explaining, a separate agent blind-grades your free recall, and /review schedules FSRS spaced repetition. Progress stays local as JSON; needs Python 3.

Searches 200,000+ icons from 150+ libraries such as Lucide and Material Design, suggests icons by use case, and returns SVG or React, Vue and other component code, or writes them into your icon file. Handy for AI-built pages and UI prototypes. No account or API key; needs Node.js.

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.

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.

Two companion skills: /tutor-setup turns PDFs, lecture notes or a codebase into an Obsidian study vault with concept notes and practice questions, and /tutor quizzes you with multiple-choice questions on weak spots and tracks mastery. For students reviewing or self-studying; best viewed in Obsidian.

Free two-way Figma MCP that needs no paid Dev Mode seat: turns designs into code that fits your existing project, or builds pages and components on the canvas from a description, with data staying on your machine. Needs Node.js 20.19+, the Figma desktop app and the companion plugin.

Turns books, PDFs, slides, Word files and web pages into a traceable knowledge base and an offline interactive study page with core frameworks, a glossary, a concept map, self-tests and local notes, keeping source text apart from model additions. Needs Python 3.10+.

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.

Jupyter's official tool for notebook assignments: once teachers mark up questions and solutions, the CLI generates student versions, collects submissions, auto-grades and produces feedback. Suits programming and data courses. Needs Python and Jupyter; assignments must use nbgrader's markup.