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Lets agents read and write your local Obsidian vault directly: search notes, append to daily notes, tidy tags and properties, and summarize reading or research notes by topic. No need to open Obsidian or install plugins; access is limited to the vault and can be read-only. Needs Node.js 20+.

Turns secondary-school math and science problems into teaching materials: interactive geometry solution pages, 3D molecular views of chemical reactions, and math explainer videos with Chinese voiceover and bilingual subtitles (needs a Zhipu GLM-TTS key). Requires Python sympy.

Econometrician Pedro Sant'Anna's academic Claude Code setup (fork the repo to use it): Beamer/Quarto lecture slides, paper review and mock refereeing, R/Python analysis and replication packages, with specialist subagents and quality gates. Needs Git and Python; slides need XeLaTeX and Quarto.

Docker's official MCP gateway (the docker mcp CLI plugin): runs servers from the Docker MCP Catalog in isolated containers, manages secrets, OAuth and tool toggles centrally, and gives multiple clients one endpoint. Built into Docker Desktop 4.59+; Docker CE and other setups must build the plugin.

Microsoft's official Azure skill set: deployment prep and validation, deployment, production diagnostics, AKS, quota lookup, compliance audits, cloud migration and Foundry; the plugin version also connects the Azure MCP Server. Needs an Azure account and az login.

Microsoft's official Azure plugin: bundles 20+ skills such as azure-prepare, azure-deploy, azure-diagnostics and azure-cost, and connects the Azure MCP and Foundry MCP to query resources, estimate costs, deploy and troubleshoot. Needs an Azure subscription and az login.

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.

HashiCorp's official server: looks up provider, module and policy docs in the Terraform Registry to help write IaC; with an HCP Terraform token it can also manage workspaces, variables and runs. Runs in Docker by default.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.