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
Download YouTube videos with yt-dlp and post-process them with ffmpeg — fetch best-quality video/audio, convert formats, extract audio, and burn in translated (e.g. Chinese) subtitles with a translator watermark. Covers cross-environment tool installation (macOS-focused) including the ffmpeg-full / libass gotcha. Triggers on "youtube 视频下载处理".
| Create and edit Remotion videos with domain-specific knowledge. Always invoke this skill BEFORE writing any Remotion code.
Load when creating or restyling a polished editable Feishu or Lark whiteboard, infographic, diagram, poster, or visual explainer; do not load for generic SVGs, static images, or other whiteboard platforms.
Load when a frontend task needs Apple-platform design guidance or physical, gesture-driven, velocity-aware, interruptible interaction; skip generic visual styling and use review-animations for report-only motion review.
Load when a user describes a Web animation or motion effect without knowing its name and needs the precise term or close alternatives; use only for naming, not design, implementation, or review.
Load when existing animation or motion code, a motion diff, or a rendered interaction needs an evidence-backed craft review; report findings only and use code-review for general source review.
Load when a task needs a throwaway prototype, state-model sanity check, UI variant, image-assisted visual mockup, mock interaction, or playable design; do not use for production feature work.
Load when a task needs to create, optimize, or validate an animated GIF for Slack emoji or messages; skip static images, video editing, and non-Slack animation.
Lightweight, script-driven variant of data2motion for turning data into a smooth, on-brand animated chart (one self-contained HTML) — built for a TEXT-ONLY model that cannot see its own output. You never write HTML/CSS/SVG/animation; you extract the data, pick a chart, fill a small JSON spec, and run one build script that owns 100% of the look and the motion, so the result cannot drift from the house template style or lose its smoothness. Use to turn a number/stat/table/CSV/paragraph into a quick animated chart, data reveal, or KPI when you want guaranteed template fidelity with minimal reasoning and no image feedback.
Use when the user wants to turn a static scene, character images, aerial map, drawn path, or route-control image into an immersive first-person FPV AI video prompt, especially Seedance/Kling/Runway/Veo style one-shot videos with numbered stop markers, red-line path control, world-map flythroughs, camera route planning, variable character counts, non-human POVs such as drones, pets, robot vacuums, character references, timed interactions, dialogue, spatial audio, and negative constraints.
Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.
Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Use when a user wants to queue learning material, create a readable explanation from a source, teach a paper or post step by step, or run an interactive tutor that validates understanding over multiple sessions.
Process audio and video with clipping, conversion, analysis, captions, thumbnails, GIFs, and batch utilities. Use for practical media manipulation workflows.
Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.
Build a portable brand-kit.json for the user's product — colors, typography, voice — that other skills (video, ad creative, landing page) can consume. Multiple discovery paths so it works whether the user has access to their site's source code or only a public URL or just a logo image.
Produce a LinkedIn-native 1:1 (or 16:9) launch video using HyperFrames. Caption-first, sound-off, B2B register, anti-corporate-jargon. Optionally hand off to LinkedIn Ads to launch as a sponsored content campaign with ICP-aligned targeting.
Build a complete Performance Max campaign from a brand URL — asset group copy, search themes, audience signals, image/video shot list, settings — ready to paste into Google Ads
Produce a Reddit-native 1:1 or 4:5 launch video using HyperFrames. Idiomatic Reddit feel — text-first, low-polish, sound-off, subreddit-aware. Optionally hand off to Reddit Ads to launch as a promoted post targeted to specific subreddits.
Produce a 9:16 TikTok-native launch video for a product, feature, or campaign using HyperFrames. Idiomatic TikTok pacing, burned-in captions, hook-in-1s structure. Optionally hand off to TikTok Ads to launch as a Spark/in-feed ad.
Convert an MP4 (e.g. a HyperFrames render or a screen recording) to a high-quality GIF using FFmpeg's two-pass palette method. Picks the right preset for the target surface — Slack/DMs/Twitter/email/Reddit/GitHub — so you don't ship a 40MB GIF to a 5MB inbox.
Use when generating, editing, composing, or iterating on images — illustrations for reports/web, posters with Chinese or English typography, pitch-deck slides, UI mockups, infographics, pixel art, game sprites, character reference sheets, app icons, logo concepts, photoreal product shots, or photo edits with precise local changes. Symptoms include the user asking for "图", "图片", "插图", "海报", "封面", "图标", "ppt素材", "游戏素材", "改图", "修图", "logo", "draw me", "make an image", "生成一张", or attaching an image they want modified. Calls the gpt-image-2 model (April 2026 release; near-perfect text rendering including Chinese, custom resolutions up to 3840px, precise edits with preserve/change pattern) via OpenAI-compatible /images/generations and /images/edits endpoints.
Create Signal Geometry abstract illustrations and posters from concepts or briefs. Use when the user asks for sparse geometric visuals, editorial posters, spatial systems, or prompt-only image recipes.
Create Chalk Logic concept-led chalkboard illustrations from briefs. Use for sparse wordless chalkboard explanations, non-diagram editorial chalk compositions, or prompt-only Chalk Logic recipes.
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡, 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill,可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于:微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词:龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.
通过 fal.ai MCP 实现统一的媒体生成——图像、视频和音频。涵盖文本到图像(Nano Banana)、文本/图像到视频(Seedance、Kling、Veo 3)、文本到语音(CSM-1B),以及视频到音频(ThinkSound)。当用户想要使用 AI 生成图像、视频或音频时使用。
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ecc video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.
Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.
AI辅助的视频编辑工作流程,用于剪辑、构建和增强实拍素材。涵盖从原始拍摄到FFmpeg、Remotion、ElevenLabs、fal.ai,再到Descript或CapCut最终润色的完整流程。适用于用户想要编辑视频、剪辑素材、制作vlog或构建视频内容的情况。
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡, 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill,可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于:微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词:龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
End-to-end AI video generation - create videos from text prompts using image generation, video synthesis, voice-over, and editing. Supports OpenAI DALL-E, Replicate models, LumaAI, Runway, and FFmpeg editing.
| 视频生成 - AI视频生成与后期剪辑制作 职责:调用Vidu生成视频、模型选择、Prompt调优、视频拼接、质量检测
AI 视频生成全流程:通过 6 个阶段(剧本→角色/场景设计→分镜→参考图→视频生成→后期剪辑)将用户想法转化为完整视频。支持临时工作台(单独调用 LLM、VLM、文生图、图生图、视频生成)。触发词:视频生成、AI视频、AIGC、创作视频、制作视频、AI画图。
Automatic architecture video editing workflow with self-learning preferences
长文/测评文章 → 知识视觉笔记套图(3-5张)。自动提炼核心逻辑、规划分镜、生成高阶图像Prompt(4模块结构)。支持手写笔记/思维导图/架构图/对比矩阵四种风格。Use when: 文章转知识笔记、知识笔记图片、思维导图、视觉笔记、长文转图、知识卡片、文章可视化、article to infographic、knowledge note。Output: 中文摘要 + 纯英文生图Prompt。Pair with vectronode-image/relay-image-gen to generate final images.
Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos. Use when user wants to: (1) turn a song into a music video, (2) sync video clips to music beats, (3) create a video that matches audio mood/scene/rhythm, (4) do beat-matching video editing. Triggers: \"制作音乐视频\", \"音频转视频\", \"beat matching\", \"卡点视频\", \"音视频同步\", \"视频踩点\", \"music video creation\", \"sync video to audio\