Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Creative & media
Convert PNG images to high-quality SVG with optional white-background removal, vtracer spline vectorization, and svgo compression. Use when the user asks for "PNG to SVG", "png2svg", "转 SVG", "矢量化", "去白底", logo tracing, or converting raster icons into editable vector assets.
Neta API creative skill — generate images, videos, songs, and MVs, and break down creative approaches from existing works. Use this skill when the user needs to generate or modify images/videos/songs/MVs, or create based on character settings and existing works; it does not handle recommendation feeds or tag/category research (those are handled by neta-community and neta-suggest).
Direct ByteDance Dreamina Seedance 2.0 Standard, Fast, and Mini video production across BytePlus ModelArk and verified gateways. Use for text/image/reference-to-video, native synchronized audio and dialogue, multimodal image-video-audio reference, first/last-frame animation, video editing or extension, model/gateway selection, prompt construction, async task handling, failure recovery, QA, and rights-safe production.
Convert Chinese stories or ordered local images into silent hand-drawn Remotion videos, with generated hand lettering, 327 built-in assets (297 style recipes and 30 theme palettes), a curated 30-style menu, and automatic reference-image style analysis with optional private reuse. Use when users ask to generate, import, restyle, preview or render hand-drawn story videos; browse or classify styles; imitate the visual grammar of a reference image; or save a reference-derived style. Preserve the approved colored-pencil diary default when no other style is requested.
Provider-independent workflow for producing UGC-style paid and social ads, creator testimonials, product demos, hooks, before/after concepts, app walkthroughs, TikTok/Reels/Shorts variants, synthetic-persona or avatar UGC, ad-policy checks, disclosure planning, rights/consent review, delivery specs, and QA.
Region edits across video frames on RunComfy via the `runcomfy` CLI — remove an object that appears across many frames, clean up wires or watermarks, replace a region with matching motion. Routes across Wan 2-7 edit-video (default, prompt-driven region edits with spatial language), Lucy Edit Restyle (identity-stable region-aware restyle), and Seedream 4-0 edit-sequential (when treating the clip as a frame stack). Picks the right route based on whether the change is prose-driven, identity-locked, or needs frame-by-frame still inpaint chained into a video. Triggers on "video inpaint", "video inpainting", "remove from video", "mask region in video", "clean up video", "remove object from clip", "video patch", "frame-by-frame edit", "remove watermark from video", "remove passing person", or any explicit ask to edit a region across video frames.
Burn captions into an existing video so it works with the sound off - accurate, well-timed subtitles baked into the exported file. Use when the user says "add captions", "burn in subtitles", "make it watchable on mute", "add subtitles to my video", "captions for social", or "hardcode the captions".
Use when creating cloned voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from reference audio and then reusing the returned voice_id in later TTS calls.
Plan a complete Amazon product image set that converts. Builds the shot list for the main image and the gallery, designs each infographic, plans lifestyle scenes, and sets the order so the gallery answers objections in sequence. Use when a user asks about listing images, the main image, the photo gallery, infographics, lifestyle images, image order, or what photos a listing needs. Trigger phrases: "listing images", "main image", "product photos", "image gallery", "infographics", "lifestyle images", "shot list". Works with zero tools. the user describes the product and its buyers.
Author a PostHog canvas with semantic HTML, CSS, and direct browser APIs — documents, articles, generative graphics, 2D canvas and WebGL experiences, and focused experiments where React components add no useful structure. Use after building-canvases has routed a canvas request to a plain-HTML/browser-API implementation. Covers the thin component wrapper the current runtime requires, styling and theming without Quill, drawing surfaces, and animation/cleanup patterns.
Provider-independent production workflow for AI-assisted fashion campaigns, lookbooks, editorial fashion films, ecommerce/editorial hybrids, social cutdowns, virtual try-on assets, generated model/lifestyle ads, and retouched fashion visuals; use when an agent must plan, prompt, produce, review, localize, or deliver fashion imagery or video while preserving garment truthfulness, model consent, fit representation, claims substantiation, platform compliance, accessibility, and fashion QA.
Based on the user's creative goals and image, video, or audio reference materials, first match the correct MiniMax H3 model capability, then generate and review ready-to-use video prompts. For tasks such as text-to-video, first-frame/last-frame image-to-video, multimodal reference generation, reference video motion or camera movement transfer, local video editing, character and product consistency control, advertising, e-commerce, narrative, animation, games, MV, Vlog, visual packaging, UI motion, hardware/industrial, and embodied-intelligence demos; also for item-by-item checks of requirement coverage, reference material roles, instruction conflicts, timelines, and H3 official input/output limits.
Use this skill for provider-independent reality capture that turns photographed or video-derived real places, objects, aerial sites, interiors, or people into photogrammetric meshes, NeRFs, or 3D Gaussian splats. It guides representation choice, capture planning, calibration and scale, reconstruction or training, cleanup, compression and LOD, coordinate and interchange handoff, visual/geometric QA, archival records, and property, location, people, and cultural rights checks. Do not use it for text-to-3D generation, synthetic asset invention, guaranteed metrology, or broad downstream finishing after handoff.
Orchestrate one-click generation of major and detailed plot points: preprocessing, extraction, refinement, and formatting. Use when a complete plot outline with point-by-point development is needed, or when a plot workflow or plot-point pipeline is mentioned.
Aligns narration timing to on-screen actions so that clicks, reveals, and callouts land on the exact word or phrase describing them. Runs an automated alignment pass as a baseline, then goes through the video moment by moment to hand-tune any sync point that isn't precise; automated alignment is a starting point, not the finished product. Use when the user says "sync the narration to my screen actions", "the voiceover timing is off, fix it", "align this voiceover to what's happening on screen", "the click doesn't match what I'm saying", or "make the narration hit the right moments".
SRT subtitle-driven HyperFrames + GSAP generation of Editorial-style videos. Use this skill when the user says "create an Editorial animation based on an SRT subtitle file" or says "make an Editorial video" and provides an SRT subtitle file
Mainland-Chinese TV-series craft, documents and production chain (国产剧创作体系与制片链) — the China layer parallel to the Japanese and Korean/French skills. Distilled from Yao Kougen 姚扣根《电视剧写作概论》(2016; series taxonomy, four Chinese script formats, the 3-minute/15-minute/episode-end suspense law, 36 situations), Zhang Wei 张巍《电视剧改编教程》(2014; five source types, sell-point migration, six case studies), Zhang Mingzhi & Song Peiyi《电视剧出品人与制片人教程》(2016; running-time rules, two-stage censorship, scene-breakdown sheet, contracts), Zhao Binbin《影视剧片段改编教程》(2016; film to stage fragment), plus official Chinese renderings of US TV terms from the translated Douglas and Blum textbooks. Use when writing or judging a 国产剧, turning a novel or IP into a 30–50 episode drama, writing a 策划书 / 分集梗概 / 人物小传, formatting a Chinese teleplay, sizing episode count and word count, checking content red lines and the 立项/备案/审查 chain, reading a Chinese screenwriter contract, or mapping US series vocabulary onto Chinese usage.
Agent-callable YouTube tools — search and read videos, update and delete videos, manage playlists and playlist items, read and post comments, rate videos, manage subscriptions, and read channel and caption metadata. Use when the user mentions YouTube or wants to find, comment on, or organize YouTube videos and playlists, even if they don't name YouTube explicitly.
Detects and removes AI writing patterns from text. Use when polishing drafts, cleaning AI-generated content, or ensuring writing sounds authentically human. Invoke with "run through slop detector", "clean this up", or "remove AI fingerprints".
Sweep an existing video for sensitive information - emails, names, API keys, customer data, internal URLs, amounts - and blur every instance for the full time it's on screen. Use when the user says "blur the sensitive info", "hide the customer data", "redact the emails", "there's PII in my recording", "mask the API keys", or "make this recording safe to share".
Provider-independent production workflow for AI agents creating educational animated lessons, classroom explainers, STEM visualizations, history/social-science animations, training modules, microlearning clips, whiteboard-style explainers, diagram-driven videos, and generated or assembled instructional animation assets. Use when planning, scripting, storyboarding, generating, reviewing, localizing, or QAing animation whose primary purpose is learning.
Produce, direct, generate, QA, and integrate non-speech audio with ElevenLabs Text to Sound Effects / Sound Effects API. Use when an agent needs custom SFX, foley, ambience, loops, stingers, impacts, UI sounds, musical one-shots, trailer braams, or sound-design layers for video, ads, social edits, games, apps, podcasts, audiobooks, or interactive media using ElevenLabs.
Use the Giiisp Imagine scientific image generation API to turn paper paragraphs, figure captions, experimental procedures or mechanism descriptions into image briefs, generation requests, image results and review records. Suitable for paper figures, scientific flowcharts, mechanism pathway diagrams, experimental schematics and academic presentation graphics.
Generate and edit images with OpenAI GPT Image 2 (ChatGPT Images 2.0) on RunComfy. Documents GPT Image 2's strengths (embedded text, logos, multilingual typography, instruction precision), its 3 fixed sizes, edit-with-preservation language, and when to route to a sibling (Flux 2 / Nano Banana Pro / Seedream) instead. Calls `runcomfy run openai/gpt-image-2/text-to-image` or `/edit` through the local RunComfy CLI. Triggers on "gpt image 2", "gpt-image-2", "ChatGPT Images 2", "image 2", or any explicit ask to generate or edit with this model.
Remove AI-generated traces from text. Use when editing or reviewing text so it sounds more natural and human-written. A comprehensive guide based on Wikipedia's "signs of AI writing." Detects and fixes patterns such as inflated significance, promotional language, superficial -ing analyses, vague attribution, overused em dashes, rule of three, AI vocabulary, negative parallelisms, and excessive connective phrases.
Provider-independent production workflow for AI agents assembling generated or source media into HyperFrames HTML/CSS/JS videos. Use for HyperFrames composition planning, scene architecture, media custody, animation/timing, captions/audio, deterministic preview/render QA, accessibility/flashing checks, provenance ledgers, and delivery handoff.
Image assistant - turn article/module content into uniform-style, low-text, highly readable 16:9 infographic prompts; first decide "how many images are needed + what each one covers", then compress the copy and metaphors, and finally output directly copyable image-generation prompts and iterate.
Create single assets, character art, icons, props, simple sprite sheets and tileset sketches for 2D games. Supports pixel art, flat vector and hand-drawn cartoon styles, and can combine text-to-image, image-to-image, cutout, grid splitting and upscaling. Triggered when the user mentions game assets, 2d asset, sprite, spritesheet, tileset, character assets, prop icons, pixel assets or game character art.
Image generation skill. Use when the user needs to generate images, visual infographics, create images, or edit/modify/adjust existing images. An image generation service based on the NanoBananaPro model on China's API易 proxy site (https://api.apiyi.com/), with no need to access the external internet. Supports 10 image aspect ratios (`1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `5:4`, `4:5`, `21:9`, etc.) and 3 resolutions (1K, 2K, 4K), and supports text-to-image and image-to-image editing. Based on Google's NanoBananaPro model (fast model), accessed via API易's domestic proxy service.
Generate and audit evidence-based practical course videos for executable software, research-tool, or AI-assisted workflows with observable real interaction and verification. Use when a user needs a publishable hands-on tutorial built from genuine terminal, browser, or tool operation, narration, demonstrations, corrections, and checks instead of simulated output. Route concept-only animation, formula, or proof explainers to manim-agent.
Product naming collaboration workflow. Use when the user wants to name a product, project, or module. Through the structured process of "soul mining → constraint extraction → option divergence → direction selection → competitor validation → final confirmation", it produces names with brand vitality from vague ideas and avoids off-the-cuff naming.
Generate music with Suno (v5 / v5.5 era, 2026) and advise a production team on what they may legally do with the output. Use this skill when a user wants to create, extend, remaster, or stem-separate a track in Suno; craft Suno prompts (style field, lyrics/metatags, exclude-styles, personas, custom voices); choose a subscription tier for a given use; or get accurate answers about ownership, commercial rights, distribution/monetization on DSPs, the Warner Music Group settlement, the ongoing label/publisher litigation, and Suno's API situation. Do not use it for other music generators (Udio, ElevenLabs Music, Google Lyria) except by explicit contrast, and do not use it as a substitute for a lawyer on a specific commercial deal.
Generate 3D assets with Tencent's Hunyuan3D family — open-weight self-hosted models (Hunyuan3D-2.0/2.1 and HunyuanWorld / HY-World for scenes) and the hosted, closed API tiers (2.5, PolyGen, 3.0/3.1 via Tencent Cloud and third-party hosts). Use when a task involves image-to-3D or text-to-3D mesh generation, the shape-then-texture (DiT + Paint / PBR) workflow, choosing between self-hosting and a hosted API, checking the Community License's Territory (EU/UK/South Korea) and 1M-MAU commercial gate, sizing GPU/VRAM for local inference, ComfyUI integration, or reviewing and post-processing (retopology, UVs, decimation) the meshes these models produce. Not for image, video, or general LLM tasks.
Plans and improves YouTube ideas, titles, thumbnail concepts, scripts, retention, channel strategy, and metric-based diagnosis. Use for YouTube content creation or optimization; not for editing footage, generating thumbnail pixels, or uploading through the API.
Auto-transcribes an existing video's spoken audio into a word-level transcript with real timing, then builds styled, on-brand, animated captions as timed text elements synced to that timing: brand fonts and colors, entry and exit animation, per-word impact styling. This is the deep brand-styled captioning skill; for plain burned-in subtitles with default styling, see add-animated-captions. Use when the user says "add captions to this video and make them match our brand", "fancy animated captions", "burn in on-brand subtitles", "caption this with per-word emphasis", or "put styled subtitles on this in our brand style".
Recolor every overlay, text element, background, and shape in an existing video to the brand palette in one pass, leaving footage, narration, and timing untouched. Use when the user says "apply our brand colors", "make this video on-brand", "recolor the overlays to our palette", "fix the colors to match our brand", or "this video doesn't match our brand kit".
Convert a help-center article, blog post, changelog entry, or any pasted document into a narrated explainer video using only the Clueso MCP. Use when the user says "turn this article into a video", "make a video version of this doc", "video from these release notes", "explain this guide as a video", or pastes long-form text and asks for a video.
Generate meaning-carrying editorial data-illustrations in the monotykamary / Linear aesthetic (near-black grayscale, Inter display + mono labels, hairline framed figures) with a single coral accent. This is a GENERATIVE GUIDE, not a template gallery: it teaches the "claim -> geometry" method so any session can invent the RIGHT figure for what a post actually argues, then render it as a self-contained, theme-aware, reduced-motion-safe HTML/SVG figure. Use when writing/illustrating a blog post, essay, spec, or slide and you want a chart, diagram, or illustration that carries a thesis (not decoration) in the house style. Triggers: "make a chart/diagram/illustration for this", "visualize this argument", "monotykamary/Linear style figure", "editorial graphic".
Removes watermarks, text, or localized objects from existing images, covering general watermark removal, semi-transparent document watermark removal, localized object removal, and specified text removal. Triggers only when the user explicitly asks to perform these removals on the current image; vague requests to "remove text" or generalized retouching requests without a specified target do not trigger it on their own.
Image outpainting on RunComfy via the `runcomfy` CLI — extend a still beyond its original canvas, fill in what the camera didn't capture, change aspect ratio (square → 16:9, portrait → landscape) while preserving the original content. Routes across Nano Banana 2 Edit (default, spatial-language driven), GPT Image 2 Edit (multi-ref with reference-style matching), FLUX Kontext Pro (single-shot maximum-preservation), and the brand edit endpoints (Seedream / Dreamina / Qwen / FLUX 2). Picks the right route based on whether the outpaint is prose-driven, reference-driven, or brand-locked. Triggers on "outpaint", "outpainting", "extend image canvas", "expand the image", "fill in around the photo", "uncrop", "change aspect ratio", "extend frame", "wide-screen from square", or any explicit ask to add canvas around an existing still.
Turn a short message - an announcement, a stat, a quote, a manifesto line - into a 20-40 second kinetic-typography video where animated words are the only actor on screen. Use when the user says "kinetic text video", "animated text video", "typography video", "make this quote/stat into a video", "text animation for this announcement", or gives you a few lines of copy and wants them turned into motion.
Kling 3.0 video generation on RunComfy. Kling 3.0 (also called Kling V3.0) is Kuaishou Technology's third-generation multi-shot video model with native synchronized audio and consistent character identity across shots. This skill covers all six Kling 3.0 endpoints, spanning three rendering tiers (Standard, Pro, 4K) and two modes (text-to-video, image-to-video). Calls runcomfy run kling/kling-3.0/<tier>/<mode> through the local RunComfy CLI. Triggers on "kling", "kling 3.0", "kling v3", "kling pro", "kling 4k", "kling text to video", "kling image to video", or any explicit ask to generate or animate with Kling 3.0
Write multi-chapter books (technical, tutorial, monograph, etc.) end-to-end. Handles outline planning, per-chapter drafting that stays coherent across long manuscripts, chapter review, and final HTML/PDF build. Trigger when user mentions "写书", "写一本书", "出书", "技术书", "book writing", "逐章写作", "O'Reilly", "mdbook", or wants to author a multi-chapter book.
Use when Codex needs to create, run, review, debug, or package Manim Agent workflows for mathematical or technical explainer videos: Manim animations, narrated teaching videos, formula or proof visualization, concept explainers, render review, DashScope CosyVoice TTS, FFmpeg muxing, or the local gqy20/manim-agent CLI/Web pipeline. Trigger on requests such as "做一个 Manim 动画", "生成讲解视频", "把这个公式可视化", "做数学动画", "带配音", "渲染成 mp4", "检查 Manim Agent", or "包装/维护这个 manim-agent skill".
Provider-independent production workflow for AI agents creating music videos, lyric videos, visualizers, performance/narrative/dance videos, social cutdowns, album or single launch assets, and generated-media clips synchronized to songs. Use when planning, directing, prompting, editing, reviewing, or delivering video content built around a recorded song, artist performance, lyrics, beat timing, choreography, platform variants, music rights, likeness consent, accessibility, or synthetic-media disclosure.
Generate interactive HTML presentations with professional ElevenLabs voiceover narration synced to slides. Supports dual article/slides mode, scroll-reveal animations, GPT Image 2 illustrations, and configurable detail levels. Use this skill when the user wants to create a presentation, slide deck, narrated briefing, research report with voiceover, or any content that should be presentable as both a readable article and a navigable slide deck. Also triggers on "make a presentation", "create slides", "present this", "narrated deck", "voiceover slides", "briefing with audio", or requests to turn research/notes into a shareable presentation. Works with any content — research findings, meeting summaries, proposals, educational material.
Provider-independent production guidance for deterministic Canvas 2D and p5.js animation. Use for particles, fields, trails, weather, procedural textures, generative geometry, and lightweight 2D simulations that need fixed media dimensions, seeded repeatability, transparent compositing, aspect variants, performance QA, or frame-addressable rendering.
Generate localized cover images and reusable image prompts from the shared Punk style library for articles, Xiaohongshu notes, WeChat public account posts, X posts, Instagram, Facebook, LinkedIn, YouTube, TikTok, Pinterest, Snapchat, Reddit, Threads, Bluesky, Medium, topic drafts, and requests for covers, social cover images, poster prompts, style-template-based image prompts, or image generation from long-form text. Use this skill to analyze source content, resolve unsupported ratios to the closest available generation ratio, select a localized visual style, save the final prompt, and generate the image when an image-generation tool is available.
Integrate multi-perspective analysis results into a comprehensive report, generating high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources and producing a unified report
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.