Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Creative & media
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
Create 3D models, textures, reference images, rigging and animation with Meshy, and prepare models for physical 3D printing: white or multicolor prints, Creative Lab products, sizing and slicer handoff. Drives the Meshy CLI; signs in through the browser, no API key required.
Volcano Engine video understanding — analyzes video content using the Volcano Ark video understanding API. Upload videos via the Files API (recommended); large files up to 512MB are supported, useful for video content analysis, object recognition, action understanding, and more. Activate this skill when the user needs to analyze videos, understand video content, or extract video information.
Use when animating 2D game art with Scenario: walk, idle or attack cycles in 4 or 8 directions, isometric sprite sheets, animated GIFs, frame-by-frame pixel art animation, VFX loops such as fire or smoke, looping a sprite seamlessly, animating an existing character image, a full animation sheet from one prompt, extracting animation frames from a generated video, or slicing a sprite sheet into engine-ready frames for Unity, Godot, or Unreal. Keywords: spritesheet, keyframes, frame grid, GIF.
Use when generating or handling 3D assets through the Scenario MCP server, including text-to-3D or image-to-3D meshes, GPT-6 Astra 3D or Claude Opus 5.5 3D, GLB, FBX, OBJ, STL, or VOX files, PBR-textured or game-ready models, voxel models, multi-view reconstruction, editing a mesh by prompt, retexture, remesh, UV unwrap, auto-rigging a biped or quadruped, or retargeting an animation, previewing a mesh in the 3D viewer, or downloading a model for import into Unity, Unreal, Godot, or Blender
Transform raw ideas and brain dumps into polished YouTube scripts through a structured checkpoint workflow. Use when the user wants to write a YouTube script, improve video retention, craft hooks, structure educational or entertainment content, or turn source material (transcripts, notes, research) into a compelling video script. Guides through research, hook writing, story structure, body content, and editing phases.
Building worlds with code - parts, models and pivots, materials, Lighting (LightingStyle, Atmosphere, post-processing), day/night, Terrain API, in-game CSG and destruction (GeometryService Subtract/Union/Fragment), ProceduralModel, EditableMesh/EditableImage, particles/beams/trails/highlights. Use when creating maps, environments, lighting, destructible objects, procedural levels, or visual effects.
Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — “watch this”, “summarize this video”, “what's in this recording”. Use this to actually watch the video — download, extract frames, OCR, transcribe, and index it — instead of guessing from the title or asking the user to describe it.
Generate true pixel art sprites, tilesets, and animations with the Retro Diffusion API — the best dedicated pixel art model. Use when the user says "generate pixel art", "make a sprite with AI", "use Retro Diffusion", "rdpk", or wants high-quality pixel art faster than hand-coded sprite arrays. Requires a Retro Diffusion account and RETRODIFFUSION_API_KEY (paid credits). Great for quick prototyping of 2D Phaser games.
Apply Walter Murch's legendary film sound principles to marketing video, creating emotionally resonant audio that audiences feel without consciously noticing. Use when: Designing sound for brand films and documentaries; Creating emotional impact in video ads; Layering music, effects, and voice effectively; Building immersive soundscapes for content; Elevating production value through audio
Generate or edit images with GPT Image 2 or 2.5 through the packaged CLI and Reference Gallery. Use for image requests including imprecise "GPT 2.5" model names, posters, typography, reference edits, and inpainting; resolve the model choice before generation.
Direct and produce a short film made entirely in code, in one of the styles of the Lemo-Opuscar library (e.g. Impasto Oil Painting 油画厚涂, Watercolor Brush 水彩笔刷, Ukiyo-e 浮世绘, Satellite Briefing 卫星简报, Exploded Teardown 产品拆解). Use when the user asks for a video, film, short, promo, explainer or animation (视频、短片、动画、宣传片) in a named style, including explainers built from real material such as satellite imagery, laser scans, CAD files or archive scans (数据解说、科普、产品拆解), and new films cut from real archive footage and documents (剪辑与纪实, e.g. 用档案影像剪一支新闻片); when they want a film about their own topic and haven't chosen a style (help them choose); when they want to change a style into their own, make their own style from a blank page, or use a style they saved (改风格、从空白开始、我的风格); when they start the skill without saying what they want; or when they ask which film styles there are. Not for plain editing, trimming or converting the user's existing video files.
Create or integrate highly detailed 3D models with smooth silhouettes, shaped surfaces, believable bevels, and close-up geometry, then prepare suitable runtime LODs and loading. Use when a user requests high polygon counts, ultra-realistic models, detailed architectural assets, or removal of visibly faceted geometry.
Build agents that generate creative content including music, memes, podcasts, and multimedia. Covers generative models, content synthesis, style transfer, and creative control. Use when building creative assistants, automated content creators, multimedia generators, or artistic AI systems.
Build sharp, physically coherent high-resolution materials for 3D rendering with appropriate PBR maps, texel density, UV direction, mipmaps, anisotropic filtering, and progressive asset delivery. Use for detailed wood, stone, fabric, foliage, and architectural close-ups without excessive download or GPU memory costs.
Add sun shafts and crepuscular rays to a Three.js or equivalent 3D scene, using scene occlusion, a projected sun position, controlled foreground spill, and scalable post-processing. Use for rays of light from the sky, sunlight through trees or roofs, and golden-hour architectural scenes.
Use when generating or editing images with Scenario through MCP: text-to-image, image-to-image, instruction editing, inpainting or outpainting with a mask, background control, aspect ratio or resolution sizing, several outputs per run, or choosing between Scenario image models. Also when a run fails on prompt length, a plan-restricted model, or a reference image that was silently ignored. Keywords: txt2img, img2img, image edit, inpaint, mask, reference image, aspect ratio.
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
**MANDATORY prerequisite** — load this skill before calling `create_shader` or `update_shader`. Use when the user asks to create, author, change, fix, or iterate on a shader effect, shader fill, custom effect, custom fill, or procedural shader in Figma.
Create a camera-correct sky background for a 3D scene with a procedural atmosphere or panorama, horizon haze, aligned sunlight, and coherent environment lighting. Use for architectural skies, outdoor 3D backgrounds, golden hour, and day-to-night sky transitions.
Compress and convert CMS item image fields to webp or avif in a Webflow collection. Prompts for collection ID, item ID, image fields, quality, and target format, then downloads, converts, re-uploads via presigned S3, and publishes the updated item.
Expert blueprint for GPU particle systems (explosions, magic effects, weather, trails) using GPUParticles2D/3D, ParticleProcessMaterial, gradients, sub-emitters, and custom shaders. Use when creating VFX, environmental effects, or visual feedback. Keywords: GPUParticles2D, ParticleProcessMaterial, emission_shape, color_ramp, sub_emitter, one_shot
Turn a portrait photo into a high-end editorial "Color Analysis Board" in a luxury fashion-magazine style (Dior / Ralph Lauren aesthetic) — best colors, undertone, makeup guide, capsule wardrobe, hair & jewelry recommendations, all laid out on a clean beige/ivory grid.
Command-line interface for ComfyUI - AI image generation workflow management via ComfyUI REST API. Designed for AI agents and power users who need to queue workflows, manage models, download generated images, and monitor the generation queue without a GUI.
De-slop pass for any text. Scans for the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash density, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing), rewrites by meaning, then re-scans until the text is clean and sits in the right register for its genre: academic article, tweet, reddit post, email, blog, docs, marketing. Use when the user says "deslopify", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /deslopify. Also use before publishing any agent-drafted prose.
Build recognizable falling leaves in world space using instanced geometry, independent tumble, coupled sideways drift, shared wind, scene occlusion, and camera-aware recycling. Use for 3D autumn leaves or drifting foliage in Three.js and similar scenes; use falling-leaves for a 2D canvas overlay.
Use this skill whenever the user wants detailed English prompts for AI image tools (NanoBanana / Gemini / DALL-E / Midjourney) to produce top-conference-quality academic figures — including framework diagrams, network architecture diagrams, pipeline flowcharts, module detail diagrams, comparison/ablation figures, and data pattern grids — especially when the user says "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academic diagram prompt", or provides a LaTeX/PDF/Word paper and asks for figure prompts. If the user has not specified a color scheme, present the 8 preset palette options and color tool links before generating any prompt.
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.
Automatically generate AI videos with the Seedance 2.0 model in Jianying (Jianying/Xiaoyunque). Supports four modes: text-to-video (T2V), image-to-video (I2V), reference-video generation (V2V) and backward extension (Extend). Use this skill when the user needs to generate AI videos, create short clips with the Seedance model, convert style based on reference images/videos, or extend an existing result further. Requires cookies.json login credentials to be configured in advance.
Break down benchmark accounts / competitor content — drop in a link and it automatically detects the platform (Douyin/Xiaohongshu/Bilibili/YouTube/WeChat Official Account) and granularity (a single post or a whole account), then fetches the content and outputs a three-part deliverable: reusable viral formulas, a shot-by-shot breakdown of visuals and voiceover, and persona plus content positioning, archiving everything to benchmarks/. Short videos are downloaded automatically, with voiceover transcribed and visual frames extracted (contact sheet multimodal image reading), not just captions. Use when the user says "break down this account/video/post", "analyze the benchmark/competitor", "why did this go viral", "break down the content behind this link", "teardown", or "see how others do it". If the content cannot be fetched, it guides the user to paste the copy/subtitles instead of simply throwing an error.
Add coordinated spring, summer, fall, and winter states to a 3D scene, blending foliage, sunlight, sky, ground materials, snow, and particles without rebuilding the world. Use for seasonal controls, architectural walkthroughs, and outdoor scenes with four-season transitions.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.