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Deploys HTML or full-stack projects generated by agents to Tencent Cloud EdgeOne Makers and returns a public URL; supports both the international and China sites. Maintained by Tencent Cloud EdgeOne (formerly EdgeOne Pages MCP); sign in via browser or set an API token.

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.

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.

Typed as /bro, has the agent re-explain its previous reply in plain, casual language without answering anything new or calling tools, keeping paths, commands and numbers verbatim and replying in the original language.

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.

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.

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).

Spotify's official plugin: agents script and voice content such as morning briefings, meeting recaps or article explainers into audio episodes with cover art and a timeline, saved to Spotify. Needs the save-to-spotify CLI and sign-in; voices can use free local Kokoro.

Resend's official email CLI: send email and manage domains, API keys, contacts, broadcasts and webhooks, with automatic JSON output outside a terminal and a bundled agent skill. Needs a Resend API key; a free plan is available.

Generates and edits images with Google's Gemini image model (Nano Banana) at up to 4K, keeping multiple characters consistent, rendering accurate text and setting aspect ratios. Needs a Gemini API key (or Vertex AI) and uv. Community project, not by Google.

One learn-faster command turns Claude Code into a learning coach: builds a syllabus for your level, schedules spaced review, sets exercises and tracks progress, with an exam-prep mode. Needs uv and Claude Code; Codex: run learn-faster init --agent codex (lighter onboarding).

Translates SRT subtitles or plain text in batches through any OpenAI-compatible API, stripping timestamps and other overhead to save tokens, keeping output line-aligned with the source, and resuming interrupted jobs. Needs Node.js 20+, a source install and an OpenAI API key or local Ollama.

Official Databricks skills guiding agents to build Lakeflow pipelines and jobs, Apps, Lakebase, Vector Search, Model Serving and AI/BI dashboards on the lakehouse. Needs the Databricks CLI.

Official Databricks plugin with skills for the CLI and auth, Genie data queries, Apps, Lakebase, Lakeflow jobs and pipelines, Model Serving and DABs deployment, plus hooks for prompt routing, session context and auth failure hints. Needs a Databricks account.

Describe the video you want and the agent builds a reproducible edit project: footage, storyboard, bilingual subtitles, transitions, intro and outro, rendering and QA. Needs Node.js and ffmpeg; AI voice and assets need ListenHub. Science mode uses the author's voice and outro by default.

Apache Doris's official MCP: gives agents read-only access to explore table metadata, run and explain SQL, diagnose slow queries, and check cluster status, load jobs and data governance info. Needs Python 3.12+ and Doris 2.0 or later.

Official MCP for Plane, the open-source project management tool: lets agents read and manage projects, work items, cycles, modules and releases, with PQL queries. Use the hosted server with OAuth, or run locally via uvx with an API key; works with self-hosted Plane.

Leads a visible, verified code walkthrough in Neovim: confirms real behavior by running code, then authors one immutable Navi tour with short notes the viewer steps through, optionally recorded with OBS. Requires Terminal Control (termctrl), Neovim 0.10+ and navi.nvim.

Opinionated guide to production TypeScript with Effect v4: Effect.gen workflows, Context.Service and Layer services, Schema models and typed errors, Config, Schedule retries, Cache, Stream, HttpClient and deterministic tests, plus patterns to avoid. Requires Effect v4.

Uses Photoshop's COM interface so agents can create, open and save documents, add text and solid color layers, read the layer structure and run JSX scripts, handy for batch social graphics through chat. Windows only; needs Photoshop, Python 3.10+ and uv.

Railway's official plugin, bundling the use-railway skill and hosted Railway MCP so agents can create projects, deploy services, set environment variables and databases, and check logs and metrics to debug deployments. Needs a Railway account.

Has the agent use the @sveltejs/mcp CLI via npx whenever it creates, edits or analyzes Svelte components or modules: list and fetch Svelte 5 and SvelteKit docs sections, and run svelte-autofixer to catch issues and validate every component before finishing. Official Svelte skill.

Local image processing MCP: crop, resize, rotate, add text and watermarks, blur, remove backgrounds, detect objects and extract text with OCR, with no images uploaded anywhere; handy for photos, scans and course visuals. Needs Python 3.10 and pipx; first install downloads detection models.

QuantConnect's official CLI drives the open-source LEAN engine locally or in the cloud to download data, backtest and optimize quant strategies and deploy them live. Requires a paid-tier QuantConnect organization; strategies in Python or C#; local runs need Docker. Get expert review.