Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Creative & media
Create diagrams and visuals with Excalidraw (schematics, process flows, slides, illustrations) and render them in high-resolution PNG/SVG. Use when the user wants to create a diagram, schematic, or visual to illustrate a concept — for a lesson, course, article, presentation, YouTube video, technical documentation, or slide. Also use when the user mentions “illustre,” “Excalidraw,” “schema,” “diagramme,” “process flow,” “visuel pedagogique,” “illustration,” or wants to illustrate an idea visually.
Create animated videos of graphics, text, or interfaces with code, outputting MP4 and editable source files, up to 20 minutes long. Suitable for motion design reels, product videos, UI motion, kinetic typography, logo intros, generative art, and explainer videos. Supports independently choosing BGM and sound effect sources, user-provided voiceover, and synthesizing speech with TTS from a user-provided script. Not for live-action production, realistic human generation, or general video editing
Plan and route programmable or automated video production across code-first, template-first, and hybrid content pipelines. Use when the user needs repeatable video generation, branded short-form content, personalized videos, social clip batches, captioned/localized variants, video APIs, or video creation from data and templates — even if they only say video production. Also the direct owner of explicit Remotion requests (React video compositions, scenes, render workers) and of the retired `remotion-video-production` name. Triggers on: Remotion, Remotion render pipeline, React video composition, programmatic video, automated video creation, video API, personalized video, render videos from code. Route conversational raw video editing to `video-use`, long-form video clipping and speaker-tracking to `autoclip`, and one-click topic-to-video generation to `moneyprinter-turbo`.
Command-line interface for Openscreen, a screen recording editor. A stateful CLI for editing screen recordings with zoom, speed ramps, trim, crop, annotations, and polished exports. Built on the Openscreen JSON project format with ffmpeg as the rendering backend. Designed for AI agents and power users who need programmatic video editing
Use when a Scenario output needs to be checked and improved instead of accepting the first result: iterating a generation until it matches the brief, fixing a batch that came back off-brief, methodically retrying failed shots, wiring an automated generate, review, revise loop, or deciding whether to re-prompt, swap references, inpaint, post-process, or change the model. Keywords: refine, iterate, critique, review loop, QA, self-correction, verify, acceptance criteria, retry, drift.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Reelary, the 100% local AI media library for your own videos and photos on Mac and Windows: install and connect it, index folders and external drives, check indexing progress, remove folders, fix errors. Use when the reelary_* tools are missing or fail, or the user wants to organize footage. Trigger on "Reelary", "media library", "index my videos", "organize my footage", "catalog my clips", "scan my drive", "make my footage searchable", "video library app", "digital asset management for video", "local video search app". Not for cloud storage or renaming files.
Use when a task involves generating or iterating on skyboxes, 360 panoramas, equirectangular images, environment maps, HDRI-style backdrops, or VR backdrops through the Scenario MCP. Triggers include text-to-skybox, turning a photo into a 360 environment, restyling a panorama's mood, upscaling a skybox without breaking the seam wrap, or exporting equirectangular or cubemap layouts for game engines such as Unity, Unreal, or Godot.
(project - Skill) Generate AI images using Volcengine Jimeng API 4.0. Use when users request image generation from text prompts, image-to-image editing, or batch image creation. Triggers include "generate image", "create picture", "AI image", "Jimeng", "Seedream", or any request involving AI-powered image creation from descriptions.
Act as an assistive outline coach who guides structural development through questions. Use when helping someone develop their own outline through diagnosis and frameworks. Critical constraint - never generate outline content. Instead ask questions, identify structural issues, suggest approaches, and let the writer structure.
Use when the user wants visually striking, shareable slide-deck IMAGES from any content — an article, blog post, topic, or paper — where look-and-feel matters more than editable precision (风格化幻灯/小红书配图/公众号配图/视觉化海报), optimized for reading and social sharing rather than live presentation. Offers 17 T2I aesthetic styles (watercolor, sketch-notes, pixel-art, editorial, chalkboard, etc.); each slide is an AI-generated image (Gemini/Nano Banana), so the look is distinctive but text/math/data are baked into the image (not editable). NOT for a faithful academic talk where equations, numbers, tables, and citations must stay exact, editable, and projector-ready (组会/答辩/thesis defense/conference/results-heavy talks) — for that use scholar-slides instead, since text-to-image will garble math and data.
Use when generating or handling audio on Scenario via MCP. Triggers include music tracks, full-length songs with vocals written from lyrics, background scores, soundtracks, game sound effects, SFX, foley, ambience, looping audio, voiceover, narration, speech, TTS, text-to-speech, dialogue, voice cloning, re-voicing a recording, scoring or adding sound to a video, transcription, or requests to create, wait on, play, or download audio files (MP3, WAV) with Scenario tools
Use when animating characters or objects in Blender through Python, a bouncing ball, walk or run cycle, jump, acting shot, lip sync, eye darts or facial animation, blocking in stepped keys, splining, polish, timing and spacing, arcs, overlap, squash and stretch, graph editor handles, slotted actions or NLA layers, staging a playblast, or when animation looks floaty, stiff, slides, pops, chatters, the subject is too small in frame, or a knee pops and needs an expert review.
Structure scenes and control pacing using scene-sequel rhythm. Use when individual scenes work but don't accumulate, when pacing feels off (too rushed or too slow), when transitions feel mechanical, or when readers can follow but aren't compelled forward. Based on Dwight Swain's Goal-Conflict-Disaster and Reaction-Dilemma-Decision structure.
Inspect multiple reference or benchmark videos shot by shot, record observable visual and audio evidence independently for each source, then synthesize their recurring short-form style grammar, one-off details, imitation boundaries, and generator risks in one human-readable Markdown report. Use before image prompt construction, video request architecture, Seedance workflow creation, or batch media generation when reference footage defines the desired production language.
Generate new videos from text prompts, images, or reference inputs using EachLabs AI models. Supports text-to-video, image-to-video, transitions, motion control, talking head, and avatar generation. Use when the user wants to create new video content. For editing existing videos, see eachlabs-video-edit.
A reference library of 45+ visual ad formats for Meta and paid social, each with a definition, funnel stage guidance, and medium (video/static/both). Use this whenever choosing how an ad should look and feel, building out a creative concept, writing a creative brief, or deciding which format best serves a messaging angle and awareness stage. Trigger when the user asks “what format should this be,” “how should we execute this,” “give me concept ideas,” or any time a creative concept needs a production structure. Always pair with creative-mechanics to fully flesh out the concept — format defines the vessel, mechanic defines the cognitive move inside it. Either can come first; they work in both directions.
Expert patterns for Godot audio including AudioStreamPlayer variants (2D positional, 3D spatial), AudioBus mixing architecture, dynamic effects (reverb, EQ, compression), audio pooling for performance, music transitions (crossfade, bpm-sync), and procedural audio generation. Use for music systems, sound effects, spatial audio, or audio-reactive gameplay. Trigger keywords: AudioStreamPlayer, AudioStreamPlayer2D, AudioStreamPlayer3D, AudioBus, AudioServer, AudioEffect, music_crossfade, audio_pool, positional_audio, reverb, bus_volume
Use when a generated Scenario image needs a quality check or a brand-brief compliance verdict before it ships: pass/warn/fail scoring, on-brand review against a configured brief, QA gating a batch, pricing or refreshing a stored verdict, or iterating a generation until it clears the gate. Keywords: quality gate, quality check, QA, verdict, brief compliance, on-brand, brand brief, pass fail, score, review, asset_quality_gate_run.
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Load when a story needs factual grounding the writer doesn't have: historical detail, cultural texture, domain accuracy, or how other authors handled similar material. Pass the question and story context; returns a sourced report the writer can draw from.
Generate professional voiceovers using ElevenLabs AI. Use when the user needs to create voiceovers for videos, audio narration, or text-to-speech content. Supports multiple voices with character presets (narrator, salesperson, expert) for natural delivery. Includes single scene regeneration for fine-tuning.
Use when editing an existing image on Scenario through MCP with a tool model, not a new generation: upscale or enhance to 2x, 4K, 8K, super resolution, 3D LUT color grade, color correction, posterize, solarize, vignette, film grain, blur, sharpen, glow, chromatic aberration, oilify, cubism, crystallize, dodge and burn, tint, desaturate, expand or uncrop, reframe an aspect ratio, resize to exact pixels, slice tiles, contact sheet, split into layers, remove a background or watermark, vectorize
Expert blueprint for procedural content generation (dungeons, terrain, loot, levels) using FastNoiseLite, random walks, BSP trees, Wave Function Collapse, and seeded randomization. Use when creating roguelikes, sandbox games, or dynamic content. Keywords: procedural, generation, FastNoiseLite, Perlin noise, BSP, drunkard walk, Wave Function Collapse, seeding
Use when texturing, shading, or look-developing in Blender: building a PBR material from a texture set, displacement, procedural materials, edge wear, dirt, grime, color variation, decals, box or triplanar mapping on meshes without UVs, stylized character skin (subsurface, pores), eyes and cornea, hand-painted stylized textures, texture painting or painting masks headless. Also use when a material looks plastic, CG, waxy, or blown out, color spaces are wrong, or EEVEE and Cycles disagree.
Upload files to the ImageKit media library via DAM MCP. With a shell, use create_upload_signatures_in_bulk for any number of local files or URLs; without one, upload_file (interactive picker); create_upload_signature only when the user runs the upload elsewhere. Never inline file bytes into the conversation
Create Remotion videos using the Geist design system aesthetic. Use when asked to create videos, animations, or motion graphics that should follow Vercel's visual style: dark theme, spring animations, Geist typography, and the Geist color palette
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.