3 019 media skills from 496 authors. They create and process images, video and sound. Half of them fit into 1 966 tokens or less — that is what one costs your context window when the agent loads it. 768 ship runnable scripts rather than instructions alone. 30 of them cannot work without an MCP server, most often rube. We also found 321 copies of these same skills sitting in other people's repositories — counted once here, not 321 times.
3 019 unique 496 authors 1 925 updated this month 160 from vendors
USE FOR image search. Returns images with title, source URL, thumbnail. Supports SafeSearch filter. Up to 200 results.
USE FOR web search. Returns ranked results with snippets, URLs, thumbnails. Supports freshness filters, SafeSearch, Goggles for custom ranking, pagination. Primary search endpoint.
USE FOR video search. Returns videos with title, URL, thumbnail, duration, view count, creator. Supports freshness filters, SafeSearch, pagination.
小红书 / 抖音 / 快手 / 视频号 自媒体「(compose 素材打底 →) 找对标 → 拆爆款 → 套自己」四命令闭环。给我的账号 / 选题方向 / 原始素材（文档/图片/视频），吐出"可发的下一条笔记初稿"。当用户说"找对标"、"拆这条爆款"、"对着这条仿写"、"下一条该写什么"、"我这个号缺爆款选题"、"帮我写一条对标 XX 的笔记"、"我有素材帮我写一条能爆的"、"这份文档/这组图/这段视频能出一条爆款吗"时调用。诊断模式（"为什么不爆"）走 references/diagnostic-mode.md。
微信发信能力：通过 Windows 桌面微信发送文本、图片URL或本地文件。适合各类 Agent 在本机直接发送一次性消息。触发词：给[某人]发微信、通知[某人]、把这个用微信发给[某人]、用微信发个图片、把本地文件发给[某人]
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'.
Inspect an image, screenshot, photo, diagram, file path, or image URL for a non-vision main model. Prefer the inspect_image MCP tool; if MCP namespace tools are unsupported, use the installed local vision CLI fallback.
当用户视频创作选题枯竭的时候，为用户提供选题思路
AI-orchestrated video production on @pneuma-craft. Use whenever the user wants to generate, edit, or compose video clips, audio tracks, captions, or background music — including text-to-video / image-to-video generation, TTS narration, music generation, provenance tracking, and timeline composition. Trigger on phrases like "generate video", "make a clip", "add narration", "try another take", "add BGM", "edit project.json", "place on the timeline", "AIGC assets", "regenerate this shot", or any request that touches the exploded timeline or the dive-in panels. Also use when editing `project.json` by hand, registering assets, or wiring provenance edges. Do not assume the user knows the schema — they usually don't; read `references/project-json.md` before committing to an edit.
> creating or editing diagrams, flowcharts, wireframes, mind maps, architecture diagrams, org charts, sketches, or any visual content on the Excalidraw canvas. This skill defines the Excalidraw JSON format, element types, binding rules, and color palette. Consult before your first edit in a new conversation.
Paper-canvas web design. Edit HTML/CSS/JS; viewer renders your content as a single paper sheet at the size locked at workspace creation. Design language adapted from tw93/kami (MIT). Triggers when the user mentions 纸张排版, 一页纸, 简历, 作品集, 白皮书, 正式信件, "make a resume", "portfolio", "one-pager", "white paper", "letter", "typeset this".
> generating images, creating illustrations, editing visuals, managing content sets, organizing rows, crafting prompts, adjusting styles, or any image generation task. This skill defines the generation workflow, manifest format, prompt engineering, and content set organization for the AI illustration studio. Consult before your first edit in a new conversation.
Read editor.md, editor.json, and analyst.json. Make data-driven creative visual decisions for every section — teaser, charts, images, videos, audio, maps, and interactive demos when they fit the data. Generate selected assets. No HTML. Outputs designer.json with des_xx IDs.
Name the piece — re-write the masthead (headline + standfirst + kicker), every section title, and every figure/photo/table caption to a research-driven titling standard, killing the AI-tell patterns (the 'flat statement. flat counter-statement.' two-beat above all) a competent default falls into. Reads editor.md/json + analyst.json + the resolved topic_profile; writes copywriter.json — STRINGS ONLY (masthead{headline,standfirst,kicker}, items{edt_xx:{title}, des_xx:{caption}}), each backed by a real ana_*. Names, never edits: it touches no finding, no number, no data-* id, no layout — so the Verify layer is untouched and the Programmer renders the masthead + figcaptions from copywriter.json verbatim. Runs at Stage 3.5, after the Editor, before the Designer.
Audit a generated Data2Story blog for build correctness across ALL modalities by ACTUALLY RENDERING it in a real headless browser (when available) — catching blank/0-width charts, broken/oversized media, desktop+mobile overflow, and dead interactions that source inspection cannot see — then having vision agents review the screenshots, playtesting every interactive, and walking the flagship capability contract. Plus VIEW every image for a wrong/AI-faked subject. Fixes layout in place; sends content-correctness problems back to the owning role. Use at Stage 6 after the Programmer assembles index.html and before the Critic; re-runs each revision round. Triggers: a built index.html exists, or you need to confirm charts/media/interactions actually render.
Generate atmospheric sound-design / SFX (NOT speech, NOT the front-of-blog BGM) via OpenRouter using Google Lyria 3 Pro.
Animate a still image into a short video via OpenRouter. Default model google/veo-3.1-fast.
Generate images via OpenRouter. Default model openai/gpt-5.4-image-2; any image-modality model can be passed via --model.
Craft the COVER — the one animated <video> hero that opens the page above the headline, built from a Scout-verified still (or an abstract generated still) via a deterministic source ladder. The cover is animated by DEFAULT; a static <img> is only the recorded last rung. Owns the hero video + its static furniture; the Interaction Engineer owns the pick-a-side overlay, the Cinematographer stages the cover as cin_00. Reuses data-des=des_hero_video (no new provenance prefix). Outputs hero.json + assets/teaser.webm + _web.mp4 + .jpg poster.
Generate videos via OpenRouter using ByteDance Seedance 2.0.
Build the curated interactive SET the Editor approved: the ONE narrative-bound hero centerpiece (an explorable/scrollytelling that makes the reader PRODUCE the lead finding) PLUS the ranked supporting playgrounds — each bound to a distinct finding — to the same three-layer-number standard, plus animation/transition craft. Consumes editor.json.interactives + imagineer.json + the Analyst's client_model. Outputs interaction.json (centerpiece + supporting[] + playtest_handoff) for the Programmer; may reach back into the Editor's spine when the lead finding should be hands-on.
Source and VERIFY rich external media (music, high-value real photos/video) and the latest live status that the Detective's background pass didn't cover. Every asset carries a checked license + identity block; nothing unlicensed or misidentified passes downstream. Outputs scout.json (sct_xx) after the Detective, before analysis.
Read editor.md, editor.json, and analyst.json. Make data-driven creative visual decisions for every section — teaser, charts, images, videos, audio, maps, and interactive demos when they fit the data. Generate selected assets. No HTML. Outputs designer.json with des_xx IDs.
Generate music (NOT speech) via OpenRouter using Google Lyria 3 Pro.
Text-to-speech conversion using `uvx edge-tts` for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Text-to-speech conversion using GLM-TTS service via the `uvx zai-tts` command for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, podcast, driving, cooking). (3) Using pre-cloned voices for speech.
Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
| 当系统提示面向移动端（手机、平板）场景时调用。适用于 iOS/Android 应用内 AI 助手、移动端聊天界面、响应式输出的系统提示设计。不适用于桌面端优先的场景，不适用于移动端 UI 开发（非提示层），不适用于语音场景（语音场景使用 voice-optimization）。
| 当系统提示面向语音交互场景（语音助手、语音搜索、有声回答、电话客服 AI）时调用。适用于需要将文本输出优化为口语表达的系统提示设计。不适用于纯文本聊天界面，不适用于语音合成（TTS）技术选型，不适用于图像/视频多模态场景。
> Use this skill whenever working with the Canvas LMS REST API — including creating or updating modules, pages, and files for a course, building sync scripts, managing course structure programmatically, or uploading files and linking them in pages. Trigger this skill any time the user mentions Canvas, LMS, course sync, module pages, or file uploads to Canvas. Also use when writing or debugging any Python script that calls the Canvas API.
> Audit and fix Beamer slide decks for compilation errors, layout problems, and visual issues. Use this skill whenever the user says "check my slides", "fix my slides", "the slides don't compile", "text is running off the page", "slides look wrong", or after generating a Beamer deck to verify it before delivering. Also use when the user mentions overfull boxes, overlapping content, broken images, or any Beamer formatting issue.
Transformez une image 2D en modèle 3D animé prêt pour le web ou le jeu en moins de 30 minutes, en utilisant le workflow Dilum Sanjaya (Hunyuan3D + Mixamo). Use when: **Créer un personnage 3D pour un site web** - Mascotte, avatar, illustration interactive; **Prototyper un asset de jeu** - Character design, props, environnements; **Produire du contenu marketing 3D** - Produits rotatifs, personnages animés; **Convertir des illustrations existantes** - Logo, mascotte, character design → 3D; **Tes...
Master the essential audio post-production techniques—normalization, compression, EQ, and noise reduction—using the correct processing order to achieve professional-quality audio. Use when: Editing podcast episodes or video soundtracks; Cleaning up recorded voiceovers; Improving audio quality for marketing content; Preparing audio files for distribution; Troubleshooting common audio issues
Master ACX-compliant audiobook production using Audible's technical standards and Richard Mayer's multimedia learning principles for engaging, professional audio. Use when: Producing an audiobook for Audible/ACX distribution; Creating audio versions of courses or written content; Setting up narration workflow for long-form content; Ensuring audio meets professional distribution standards; Self-producing an audiobook as an author
Create memorable sonic logos using design principles from Intel, Netflix, and McDonald's—crafting 2-5 second audio signatures that achieve instant brand recognition. Use when: Creating a sonic logo for a brand; Evaluating audio logo proposals from agencies; Understanding what makes sonic logos effective; Briefing sound designers on logo requirements; Analyzing competitor sonic logos
Master Ira Glass's narrative storytelling methodology from This American Life to create podcasts that captivate listeners through the power of story. Use when: Creating a branded podcast or audio content series; Structuring episodes for maximum listener engagement; Transforming raw interviews into compelling narratives; Building thought leadership through audio storytelling; Planning podcast content that keeps audiences coming back
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
Capture professional-quality remote interviews using double-ender technique and dedicated recording platforms for podcasts, media, and content production. Use when: Setting up remote podcast interviews with guests; Recording media interviews across distances; Creating customer interview content; Producing expert interviews for thought leadership; Conducting research interviews with high audio quality
Automate repetitive audio tasks with Python using PyDub for batch processing, format conversion, normalization, and content assembly. Use when: Processing large numbers of audio files consistently; Converting between audio formats at scale; Normalizing loudness across a batch of files; Assembling intros/outros automatically to episodes; Trimming silence or extracting segments programmatically
Create functional and emotionally resonant audio for digital products using Audio UX methodology—from notification sounds to complete sonic systems. Use when: Designing notification sounds for an app; Creating a complete audio system for a digital product; Adding audio feedback to UI interactions; Building accessible audio cues; Defining audio guidelines for product teams
Build a complete audio identity for your brand using the 7-step methodology—from brand assessment through deployment—creating memorable sonic assets that drive recognition and trust. Use when: Creating audio branding for a new company; Refreshing outdated brand sounds; Developing audio guidelines for consistent usage; Planning sonic identity across touchpoints; Briefing agencies on audio branding projects
Capture authentic customer testimonials through guided self-recording workflows, from outreach and briefing to recording and publishing. Use when: Building social proof for marketing campaigns; Creating customer success stories; Gathering testimonials for website and ads; Producing case study videos; Collecting user-generated content
Select and create the perfect AI voice for your content using ElevenLabs, Qwen3-TTS, and other platforms—matching voice characteristics to brand personality and audience. Use when: Choosing an AI voice for video narration; Creating a consistent brand voice across content; Cloning a voice for scalable production; Comparing voice synthesis platforms; Designing voice characteristics by description
Scale your brand voice across multiple languages using AI voice synthesis, maintaining consistent character and quality for global content. Use when: Expanding video content to new language markets; Creating multilingual courses or training; Localizing ads and marketing videos; Dubbing existing content for international audiences; Building consistent global brand voice
Master the art of directing voice talent to deliver performances that match your brand vision, using Anne Ganguzza's storytelling approach and industry best practices. Use when: Hiring and briefing voiceover artists for a project; Giving direction during recording sessions; Writing scripts that are easy for talent to deliver; Matching voice characteristics to brand personality; Reviewing auditions and selecting the right talent
Batch process images for marketing. Use when: resizing images for social media; compressing images for web; removing backgrounds; adding watermarks; converting formats to WebP; optimizing for Core Web Vitals
Process video files with ffmpeg automation. Use when: compressing videos for upload; extracting audio from video; resizing for social formats; clipping segments; merging multiple videos; generating thumbnails
Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives