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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.

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.

Self-hosted open-source platform for contract and legal document analysis: detects cited laws and builds a citation graph, and its MCP server lets agents search the corpus, read texts and annotations, and follow citations. Deploy your own instance with Docker; have a lawyer review results.

Audio plugin suite: transcription with local Qwen3-ASR or Whisper (MLX on Apple Silicon), speaker diarization, transcript correction, structured meeting notes and StepFun TTS. StepFun ASR and TTS need an API key.

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.

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.

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.

Self-hosted engine that maps lab results, checkup reports and wearable data to standard metrics so agents can chart trends, citing the source file for every number. uvx mirobody mcp gives the coding tools; full records need Docker and an LLM API key. A doctor should review results.

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.

Manages a Microsoft 365 tenant with one m365 command: SharePoint, Teams, OneDrive, Outlook, Planner, Power Platform and more, with JSON output and JMESPath filtering. An open-source PnP community project, not officially supported by Microsoft; register an Entra app before signing in.

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.

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.

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.

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.

Reads, watches and sends iMessage and SMS on macOS: reads the local Messages database directly, sends through Messages.app, and outputs NDJSON and JSON-RPC for agents. Needs macOS 14+ and Full Disk Access granted to your terminal.

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.

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+.

Local LLM-powered document translator for PDF, Word, Excel, EPUB, SRT subtitles and more; Word and Excel keep their formatting, glossaries can be built automatically, and agents can submit jobs via MCP. Needs uv and an OpenAI-compatible API key; translated PDFs lose the original layout.

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.