3 032 media skills from 496 authors. They create and process images, video and sound. Half of them fit into 1 962 tokens or less — that is what one costs your context window when the agent loads it. 771 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.
3 032 unique 496 authors 1 936 updated this month 173 from vendors
End-to-end pipeline for publishing AGENCY Community meetup recordings to YouTube. Downloads Zoom recording, adds intro/outro, generates thumbnail, creates description with timecodes, uploads to YouTube, sets thumbnail, and adds to the AGENCY Community playlist. Use this skill when the user wants to publish a meetup, says "upload the meetup", "publish the recording", "process the Zoom recording for YouTube", or mentions uploading an AGENCY Community session. Also triggers on requests to add intro/outro to a meeting recording and upload it.
Generate social media covers and assets for AGENCY Community events, meetups, and YouTube recordings. Use when creating event covers, YouTube thumbnails, or social posts for the AGENCY Community.
This skill should be used when the user wants to view, review, rate, organize, search, or export images / AI-art generations with the Cull app. Trigger on "show me these images", "review this batch", "open these in Cull", "rate / shortlist / collect these", "find similar images", "make a smart collection", "run a quality pass", "export the keepers", "publish this collection". Works via the `cull` CLI by default (no MCP required); the `mcp__cull__*` tools are optional for richer interactive control.
This skill converts text to high-quality audio files using ElevenLabs API. Use this skill when users request text-to-speech generation, audio narration, or voice synthesis with customizable voice parameters (stability, similarity boost) and voice presets (rachel, adam, bella, elli, josh, arnold, ava).
Search and download images via Google Custom Search API with LLM-powered selection. This skill should be used when finding images for articles, presentations, research documents, or enriching Obsidian notes with relevant visuals. Supports simple queries, batch processing from JSON config, automatic config generation from terms, and full note enrichment with automatic image insertion below headings.
Generate and edit images using OpenAI's GPT Image 2 API. Interactive skill that guides users through image creation with style presets, cost-aware draft/final workflow, thinking mode, carousels, and photo editing. This skill should be used when the user requests image generation via OpenAI/GPT Image 2, wants to create social media carousels, edit photos into artistic styles, or needs images with readable text (infographics, diagrams, posters).
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
This skill should be used to run a formal heuristic evaluation of a design artifact against Jakob Nielsen's 10 usability heuristics, producing an evidence-backed, severity-scored report. Use it when the user wants a "heuristic evaluation", "usability review", "Nielsen heuristics check", "UX heuristic audit", or asks whether a screenshot, live URL, HTML page, codebase UI, interface description, or JTBD/spec document holds up against usability principles. Accepts five input types (screenshot/image, live URL, codebase/HTML, interface description, JTBD/spec doc) and adapts its rigor and output honestly to what is actually observable. Can render the report as plain markdown (default) or as a Tufte-style HTML report, and can export findings above a severity threshold as Linear or Beads (bd) tasks after confirmation.
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.
This skill should be used when publishing a new or updated skill to the claude-skills-site Astro website. Use this skill for both adding new skills AND updating existing ones on the site. Triggers on "/publish-skill skillname", "add skill to site", "publish skillname to skills site", "update skill on site", "edit skill on site", "sync skill to site", "republish skill". Reads SKILL.md from the skills repo, generates MDX frontmatter and body, picks the right bundle, updates bundle skills array, and commits/pushes both repos. For existing skills, pass --update to preserve apothecary_name, hero_image, and activity data while regenerating the rest. A hero image is generated by default (pass --no-image to skip).
This skill should be used to watch a long-running background job (ffmpeg/media encode, qmd or other embedding/vector-DB run, batch agent/LLM pipeline, or a real-browser/agent-browser daemon) until it finishes or wedges, then deliver a verdict (done, needs-attention, or blocked) plus the exact next command, without burning dozens of manual poll commands. Triggers on "babysit this job", "watch this until it's done", "ping me when the encode/embed/batch finishes", "is this background process stuck", "monitor this ffmpeg/qmd run", or any request to wait on a long-running process and be told when it's complete or hung.
Score and compare images using vision LLMs as judges. YAML-defined criteria presets for 11 use cases (text-to-image, photorealism, document OCR, charts, UI, portrait, product, scientific, invoice, alt-text, artistic style). Supports OpenAI, Anthropic, Gemini, Mistral, and OpenRouter as judge providers. Keys auto-decrypted via SOPS + age.
Queue and batch-apply Wispr Flow dictation corrections. Use when the user invokes /wispr-fix or writes "wispr fix: X -> Y" to correct a speech-to-text mishear.
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
把复杂剧情/故事大纲拆分为 Seedance 2.0 的"镜头1/镜头2/镜头3"多分镜结构。每个分镜按 4 维度组织(运镜 + 主体动作与表情 + 位置/空间变化 + 音频)。用于"帮我把这个故事写成 Seedance 提示词"、"分镜脚本"、"多镜头视频"、"剧情复杂的视频"、"剧本转分镜"等触发场景。
生成符合 Kling 3.0(可灵 3.0,快手)规则的视频提示词。三种写法自适应:4 部分基础公式(短视频)/ 5 层进阶公式(剧情+音频)/ 图生视频专用(只描述运动)。Kling 是 2026 年中文理解最强、原生音画同步、最长 2 分钟、支持角色定向发声、Motion Brush 的电影级模型。用于"用 Kling 生成视频"、"可灵 AI 提示词"、"中文视频生成"、"带原生音频的剧情视频"、"图生视频"、"角色对话视频"等触发场景。
生成符合 HappyHorse 1.0 严格规则的紧凑提示词(30-55 词),主体先行 + 明确镜头技术 + 音频激活路径(with X audible / speaking English at natural pace)。可选加入"8s 时序节拍"结构。用于"用 HappyHorse 生成视频"、"做个 3-15 秒短片"、"要原生带音频的视频"、"ASMR 视频提示词"等触发场景。
把用户的自然语言视频需求转换为符合 Doubao Seedance 2.0 进阶公式的提示词(8 要素:精准主体+动作细节+场景环境+光影色调+镜头运镜+视觉风格+画质+约束条件)。用于"帮我写一个 Seedance 提示词"、"生成视频提示词"、"做个产品广告视频"、"用 Seedance 生成 XX"等触发场景。如果用户没明确说 Seedance,但描述的是单一镜头的复杂叙事/多主体/电影感视频,也优先用此 skill。
诊断 Seedance 2.0 生成视频时出现的常见问题(人物 ID 漂移/双胞胎/字幕/Logo/风格漂移/延长跳变/画质劣化/特效不对/中文发音/音色不准/结尾噪音 等 12 类),定位根因并给出修复后的提示词。用于"我的提示词生成出来不对"、"视频里出现奇怪的字幕"、"人脸不像参考图"、"出现两个一样的人物"、"风格变了"、"怎么修这个提示词"等触发场景。
把一条 AI 视频提示词从源模型(如 Sora 2)的写法风格转换为目标模型(如 Kling 3.0 / Wan 2.7 / Veo 3.1 等)的最佳实践写法。基于 110 条 10 场景 × 11 模型对照基准数据(prompts/data/cross-model-matrix.json),不是凭直觉重写,而是查表式 in-context learning。10 场景:产品 / 双人对话 / 物理动作 / 图生视频 / 多人会议 / 恐怖 / 自然延时 / 抽象 / 武侠 / 萌宠。用于"Sora 已 EOL 帮我把这条提示词改成 Veo"、"我有 Kling 提示词想跑 Wan"、"跨模型 A/B 测试"、"把英文 prompt 优化成 Kling 中文版"等触发场景。
根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、**Gemini Omni**(2026-05 新)、Runway Gen-4.5/Aleph、Pika 2.5、Hailuo 02、Hunyuan Video 1.5、Wan 2.7、即梦 AI;开源:LTX-Video 0.9.7、Mochi 1、CogVideoX 5B、Higgsfield Soul。用于"用哪个 AI 视频模型好"、"Sora 还是 Kling"、"国内有什么模型"、"哪个免费"、"哪个支持中文"、"哪个能编辑已有视频"、"哪个能本地部署"、"哪个角色一致性最强"等触发场景。
Generate an image from a text prompt using the default OpenAI-like LLM config (gpt-image-1-mini or compatible image generation API). The image is uploaded to the gofile.io public file sharing service and ONLY the public download page URL is returned.
Use the `quickdesign` CLI to generate AI media — UGC promo videos, image edits, product creatives, video upscales — through Seedance, Kling, Sora2, Nano Banana, and GPT Image. Invoke this skill whenever the user asks for a talking-avatar video, multi-segment ad / promo / explainer, image edit (object swap, angle change, state change), product photoshoot, or video upscale via QuickDesign.
> Use whenever the user asks to "humanize", "make this sound more human", "rewrite to avoid AI detection", "make this less AI-sounding", "add a human voice", or "write like a person". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register where AI tells (em dashes, semicolons, hedges, banned vocabulary like "delve", "leverage", "robust") would damage credibility.
Extracts writing style patterns from exemplar text into a reusable profile. Use when creating a style guide or learning a specific author's voice.
Extracts a user's writing voice from text samples via SICO comparative analysis. Use when building a voice profile for consistent generation.
Generates text in a learned writing voice. Use when drafting content that must match a specific author's style profile extracted by voice-extract.
Improves a voice profile by learning from manual edits. Use after editing generated text to refine registers and close voice drift over time.
Runs parallel prose and craft review agents against a voice profile. Use when checking generated content for AI patterns and voice drift before publishing.
Combines GIFs and videos into composite tutorials with vertical or grid layouts via ffmpeg. Use when assembling multi-part media into a single output.
Converts webm/mp4 video files to optimized GIFs via ffmpeg with configurable quality settings. Use when post-processing recordings into shareable GIFs.
>- transcripts through Agent workers, translate/correct subtitles, pick or save subtitle styles, identify speakers, edit talking-head video with reversible cuts and B-roll, and export SRT/VTT/ASS/Markdown/video/editable projects for CapCut, Premiere Pro, DaVinci Resolve, Final Cut Pro, Shotcut, and Kdenlive. Use for any transcription, caption/subtitle, translation, speaker, rough-cut, subtitle styling, editable editor project, or media-export request, and whenever working in the BaoCut repository. Not for motion graphics, music, multicam, or generated video.
Deploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.
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.
Create 600x600 Instagram-style card news series automatically with optional background images. User provides topic, colors, and optional images - Claude generates content and creates multiple cards with proper text wrapping.
Generate or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.
Generates and prompts video clips on the filmmaking canvas. Use when the user asks to generate, render, animate, continue, restyle, edit, shoot, or compose a video clip; render script or shot notes as video; animate a storyboard, starting frame, image, character, location, or reference; use image, video, audio, storyboard, starting-frame, or voice refs; compose an ad, brand film, product promo, music-video shot, or video sequence; or before calling generate_video.js. Owns video CLI flags, refs, prompt construction, audio-ref handling, and video-specific failure hints.
>- Generates/edits filmmaking canvas images via generate_image.js and generate_image_pro.js. Use before image CLIs for character/location design, refs, starting frames, storyboards, stills, edits, variations, and downstream video anchors. Video-bound characters default to Pattern 7 4-panel sheets; one-off static portraits use Pattern 1. Story/script breakdowns should create detailed location anchors plus material character/location variants. Storyboards
Designs and attaches voice samples or final narration/line audio on the filmmaking canvas via the local generate_voice.js CLI. Use before calling generate_voice.js; when the user asks to give a character a voice, preview how a character sounds, create reusable timbre anchors for every speaking character or VO/narration, or create exact narration/VO/final line audio.
>- Orchestrates story, script, screenplay, concept, product promo, and multi-shot idea work into finished video. Use first when the user asks to make a video from a story or script; asks what next in a story video project; or needs a decision spanning script splitting, image refs, voices or VO, video clips, render strategy, Timeline ordering, or final Timeline handoff. Routes execution to script-compose, image-compose, voice-compose, and video-compose before those skills' CLIs are used.
>- Handles explicit screenplay/story work on the filmmaking canvas. Triages screenplay (use verbatim), story/concept (iterate then rewrite), or neither (defer). Captures the final script note/title; on explicit command, splits into <=15s shot notes and extracts characters, variants, locations, and speaking/VO needs. Use for writing, adapting, rewriting, splitting, analyzing, or breaking down scripts/stories. Preserves dialogue verbatim and returns multi-stage planning to story-to-video-workflow before media generation. Does not split/analyze on file drop or without explicit intent.
Designs and maintains semantic groupings and readable layouts on the filmmaking canvas — scenes, character-reference sets, act beats, and other titled visual frames. Use when nodes on the canvas cluster around a shared meaning and would read more clearly if arranged together and wrapped in a frame. Don't force it — groups are a view concern, not an organizing tax.
Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.
Create compelling story-format summaries using UltraThink to find the best narrative framing. Support multiple formats - 3-part narrative, n-length with inline links, abridged 5-line, or comprehensive via Foundry MCP. USE WHEN user says 'create story explanation', 'narrative summary', 'explain as a story', or wants content in Daniel's conversational first-person voice.
Process video files with audio extraction, format conversion (mp4, webm), and Whisper transcription. Use when user mentions video conversion, audio extraction, transcription, mp4, webm, ffmpeg, or whisper transcription.
>- Generate new raster images and looping GIF/WebP animations with the user's ChatGPT subscription through the local one-file chatgpt-imagegen CLI, without an API key or daemon. Use for photos, illustrations, icons, hero banners, mockups, sprites, concept art, animation loops, and figures for documents, proposals, blog posts, or READMEs; save outputs in the workspace. Auto mode prefers the logged-in ChatGPT browser through chrome-use to avoid Codex usage and falls back to the Codex backend only when the web path is unavailable. Proactively propose useful figures while authoring long-form content. Do not use for editing existing images, SVG/vector work, code-native graphics, established icon systems, explicit high-quality or transparent API output, or end-user image-generation services.
Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.