도구

Official ClickHouse skills: best practices for schema design, primary keys, JOINs and inserts ranked by impact, advice on real-time architecture decisions, in-process SQL and pandas-compatible analysis with chDB, and local and cloud deployment workflows.

Official ElevenLabs skills: text to speech, speech to text, sound effects and music generation, voice changing, vocal isolation, multilingual dubbing and building voice agents. Needs an ElevenLabs API key.

Uses yt-dlp to pull YouTube subtitles into the agent, so asking it to summarize a video gets you the key points; handy for teachers prepping lessons, researchers and creators. No API key, but needs yt-dlp (Homebrew or WinGet) and Node.js.

MCP server for the Lean 4 theorem prover: lets agents read proof goals, diagnostics and definitions and search theorems via LeanSearch and Loogle, helping mathematicians and students with formal proofs. Needs uv and the Lean toolchain; run it from the Lean project root.

Official HeyGen skill: translates existing videos into 175+ languages with dubbing that clones the speaker's voice and re-syncs lips; you can proof subtitles before rendering. Needs a HeyGen account with credits and an API key plus HeyGen CLI, or the HeyGen MCP.

Voice skills: TTS with subtitle timing, emotional character voices, translated dubbing, two-host news podcasts, sound effects and songs. Narration and podcasts work with local Kokoro or free voices; emotion, cloning, dubbing, effects and songs need a Noiz API key. Never clone voices to deceive.

Connects Stata to VS Code or Cursor and exposes a local MCP endpoint so Claude Code or Codex can write and run do-files and read regression output, with graphs shown in the editor; for empirical research. Needs a licensed Stata 17+, the extension installed and the editor open.

68 trading and quant skills focused on crypto and DeFi: market and on-chain data, technical indicators, backtesting, position sizing and risk, prediction markets, and tax tools for cost basis and wash sales. Most need Python and data API keys (often free tiers); get expert review.

Automatically aligns subtitles to audio and video with a neural network, and can transcribe subtitles with Whisper or translate them with local models; supports 10+ formats such as SRT, TTML and SCC. Needs Python 3.9-3.12 and FFmpeg; transcription and translation need the llm extra.

Official Tavily skills: let agents search the web, extract page content, discover site URLs, crawl in bulk and run cited deep research through the Tavily CLI (tvly). Install the CLI first; search and extract have a limited no-login tier, other features need sign-in or an API key.

Write a script, speakers and visuals in MulmoScript (JSON or YAML) and the mulmo command generates narration and images and assembles a video, podcast, slide deck or PDF, for explainer videos. Needs Node.js, FFmpeg and an OpenAI API key; other providers optional.

Microsoft Teams MCP open-sourced by Inditex: read messages in a set channel, start threads, reply and @mention members, and list members. Requires an Azure app registration and a Teams bot (usually with IT admin help); runs via Docker or Python 3.12 with uv.

Astronomer's official data engineering plugin: write Airflow DAGs to best practices, debug pipeline failures, trace data lineage, profile warehouse tables and migrate from Airflow 2 to 3, with a built-in Airflow MCP server and session hooks.

Research guardrails for PhD students: reproduce arXiv papers, debug training anomalies with evidence, compare runs at matched epochs, check paper-code consistency, verify BibTeX, find literature gaps and predict reviewer comments. No MCP or extra dependencies; mostly for ML research.

Read and write Airtable bases: view table schemas, search, create and update records and add comments, handy for sign-up lists, project tracking, clients and content pipelines. Needs an Airtable account with a personal access token, and Node.js.

Customer success plugin from gtm-agents: three commands with subagents for account health monitoring, adoption plans and escalation playbooks, plus skills for risk scoring, executive business reviews (EBRs) and feedback loops. Prompt-only; bring your own usage, ticket and NPS data.

Renewal management plugin for customer success and account managers: segment-based renewal forecasts with upside and downside scenarios, save plays and escalation paths for at-risk accounts, and post-renewal retrospectives. Prompt-based; you supply contract values, usage and other data.

Voice of customer plugin: organizes tickets, interviews, surveys and community feedback into one taxonomy, estimates revenue and churn impact by theme, produces insight briefs for leadership or product, and tracks feedback loops and advocacy programs. No code; supply your own feedback data.

Two skills for the MCM/ICM and China's CUMCM math modeling contests: solver breaks down problems, picks models from a 95+ scenario decision matrix and gives Python or MATLAB templates; paper coaches abstracts, model validation and formatting from winning papers. Needs Python or MATLAB.

Creates a blueprint-style animation that explains UX decisions step by step for case studies and posts: rebuilds changed parts between Before and After screens, or annotates each module of one screen. Reproduces Figma frames 1:1; CC BY-NC 4.0, non-commercial only.

Install the QGIS MCP plugin from the QGIS plugin repository and agents get 125 tools to manage layers, edit features, run processing algorithms, style maps, build layouts and atlases, and run SQL across layers; supports QGIS 3.28 to 4.x. Needs QGIS and uv; no repo download required.

Official FinLab quant skill: lets agents use FinLab data (mainly Taiwan stocks, plus US, Japan, Korea and Hong Kong) to write stock-picking strategies, run backtests and analyze factors. Needs a FinLab account (free tier has a daily data cap), Python 3.10+ and uv. Not investment advice.

Makes a product film (landing-page loop, launch video, promo, demo reel) in code with Remotion, reusing the product's own design system, components and voice. It interviews the user first, then writes the story, syncs scenes to music beats, reviews stills in loops and verifies the final render.

Lets agents run local ComfyUI workflows to generate images, audio and video, regenerate from earlier results with new parameters, check the queue and switch models. Install and start ComfyUI, then clone this repo and run the server with Python (port 9000 by default).