Media Claude Skills
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
AI Background Removal - Remove background from images, create transparent PNG. Supports JPG, PNG, WebP local files and remote URLs. One credit per image.
AI Face Swap - Swap face in video using verging.ai API. Supports local video files, YouTube/Bilibili URLs, local and remote face images. Auto-download, trimming, real-time progress.
Generate AI images using DALL-E 3 or gpt-image-1 through the verging.ai proxy API. Supports standard and HD quality, multiple images per request, and returns CDN-hosted image URLs.
Transcribe audio to text using OpenAI Whisper through the verging.ai proxy API.
Convert text to speech audio using OpenAI TTS-1-HD through the verging.ai proxy API. Supports multiple voices, playback speed control, and various audio output formats.
AI Video Enhancement - Upscale video resolution, denoise, sharpen. Supports local files and YouTube/Bilibili URLs. HD/4K upscaling with real-time progress.
Analyze images using GPT-4o Vision through the verging.ai proxy API, supporting both image URL (JSON) and file upload (multipart) modes.
Use Writingmate's remote MCP server to discover and compare AI models, create text responses, generate images, and generate videos. Use when a user asks to call multiple AI models, compare model answers, or create media through Writingmate from Claude Code, Codex, ChatGPT, Cursor, or another MCP host.
自动化图片内容审核工作流。全量压缩后批量审核，支持鉴黄、政治、暴恐识别，以表格汇总结果。Use when auditing images, checking image content, or scanning photos for inappropriate material.
自动化图片压缩工作流，通过服务端智能压缩实现图片优化。支持本地路径、文件夹和远程 URL，返回 CDN 地址和压缩率。Use when compressing images, reducing file size, or optimizing photos.
使用本地 BiRefNet GGUF 模型完成图片或视频抠图、人物抠图、主体分割和背景移除，并输出透明 PNG、MOV 或 WebM。适用于用户提到图片抠图、照片去背景、人像透明图、视频抠图、透明视频、BiRefNet、JPG/PNG/BMP/WebP 图片，或 MP4/MOV/WebM 视频的场景；无需 Python、PyTorch 或 CUDA。
B站视频、用户、评论、弹幕、直播数据查询助手。支持App和Web双端API。
抖音全场景数据查询助手。覆盖视频详情、用户数据、搜索、热榜、创作者工具、星图达人、内容指数等7大模块。
快手全场景数据查询助手。支持App和Web双端API，覆盖视频详情、用户数据、搜索、热榜、直播、评论等全功能。
MaxHub 技能仓库聚合入口。涵盖20个平台的数据查询技能，覆盖国内外主流社交媒体、短视频、职场、邮件等全场景API数据服务。
TikTok 全场景数据查询助手。覆盖视频详情、用户数据、搜索、广告、创作者工具、电商、互动等7大模块，支持App和Web双端API。
今日头条数据查询助手。覆盖文章、视频、用户、评论等全功能。
微信数据查询助手。覆盖视频号和公众号两大模块，支持搜索、视频详情、评论、文章、用户等全功能。
Sora2 视频平台数据查询助手。覆盖作品详情、用户数据、搜索、评论、Cameo等全功能。
微博全场景数据查询助手。整合App/Web/V2多版本API，覆盖微博详情、用户数据、AI搜索、高级搜索、热搜榜单、评论、视频等全功能。
西瓜视频数据查询助手。覆盖视频详情、用户数据、搜索、评论等全功能。
YouTube 全场景数据查询助手。支持Web/V2双版本API，覆盖视频详情、频道数据、搜索、评论、字幕、Shorts等全功能。
Build image, video, and audio generation workflows on RouterBase. Use when calling RouterBase image, video, audio, speech, or media APIs; selecting media model IDs; handling synchronous image responses; polling asynchronous video or audio tasks; using callback URLs; storing generated media before retention expiry; or migrating OpenAI-compatible image generation calls to RouterBase.
Choose RouterBase model IDs and routing strategies for chat, image, video, audio, and embeddings workloads. Use when comparing providers, selecting GPT, Claude, Gemini, image, video, or audio models on RouterBase, designing fallback paths, checking pricing or availability, planning cost/latency/quality tradeoffs, querying the RouterBase Models API, or documenting how an app should route model requests through RouterBase.
> (Godot, Unity, Unreal, Bevy, Phaser, PixiJS, three.js, LÖVE, pygame, Roblox) and the task, then reads the chosen skill before acting. Use to make a game or to decide which skill applies — for players, levels, enemies, shaders, UI/UX, cameras, game feel, physics, input, audio, saving, multiplayer, AI, dialogue, procedural generation, or performance, for genres (platformer, roguelike, RPG, FPS, tower-defense, card game, visual novel, survival-crafting, puzzle), and for shipping (game jam, Steam, itch). Start here when unsure which gamedev skill to use.
> Implement game audio practice — bus/mixer architecture and gain in decibels, ducking (sidechain), adaptive/dynamic music via layering and re-sequencing, SFX variation, and beat synchronization. Engine-neutral. Use when the user mentions audio mixing, audio buses, adaptive/dynamic music, ducking, SFX variation, music layers, or syncing gameplay to the beat.
> Add "juice" and game feel that makes actions satisfying — screen shake, hit-stop/freeze frames, tweened/eased motion, squash & stretch, knockback, and layered audio-visual feedback — as engine-neutral techniques that pair with the detected engine's tween, particle, and camera APIs. Use when the user mentions game feel, juice, "make it feel good/punchy", screen shake, hit stop, screen freeze, easing, squash and stretch, impact frames, or feedback/polish on hits, jumps, pickups, and deaths.
> and signal tracks), AnimationTree with state machines and blend spaces for character animation, and Tween for short procedural/UI tweens via create_tween(). Use when working with AnimationPlayer/AnimationTree nodes in a .tscn, blending character states, sprite-sheet animation, or code-driven Tweens.
> with volume/mute and effects, music vs SFX routing, db/linear volume, and precise sync-to-beat playback timing. Use when playing sounds or music in a Godot project, routing AudioStreamPlayer nodes to buses, adjusting bus volume via AudioServer, or syncing gameplay to the beat.
> and spatial shaders for 3D, with vertex/fragment functions, uniforms (source_color, hint_range), TIME/UV animation, and screen-reading via hint_screen_texture. Use when authoring .gdshader files, writing fragment/vertex code, making 2D/3D visual effects, or porting 3.x shaders (SCREEN_TEXTURE, hint_color) to 4.x.
> parameters, blend trees, animation layers, and humanoid Avatar IK. Use when wiring an Animator, setting parameters from script (SetFloat/SetBool/SetTrigger), building blend trees, or when the user mentions Animator, Mecanim, state machine, blend tree, or .controller.
> Load glTF/GLB models in three.js with GLTFLoader and play their skinned animations with AnimationMixer, including DRACO/Meshopt-compressed meshes and KTX2 textures. Use when importing 3D models into three.js — when the user mentions glTF, GLB, GLTFLoader, AnimationMixer, animation clips, DRACOLoader, or "load a 3D model". For scene/camera/renderer setup use threejs-scene-setup; for materials and lights use threejs-materials-lighting.
Uploads promo videos and content to Cloudflare R2 or AWS S3. Use when the user wants to host promo content for social media or distribution.
Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or capabilities.
Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual artwork generation.
Create new genre documentation files for the bitwize-music genre library. Use when the user wants to add a genre, says "/genre-creator", "neues Genre erstellen", "Genre hinzufuegen", "add genre", or asks to create genre documentation. Takes a genre name as argument.
Moves audio files to the correct album location with proper path structure. Use when the user has downloaded WAV files from Suno or other sources that need to be organized.
Places album art files in the correct audio and content directory locations. Use when the user has generated or downloaded album artwork that needs to be saved.
Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.
Guides audio mastering for streaming platforms including loudness optimization and tonal balance. Use when the user has approved tracks and wants to master audio files.
Generates 15-second vertical promo videos for social media from mastered audio. Use after mastering is complete and before release, when the user wants social media content.
Converts mastered audio to sheet music and creates printable songbooks. Use after mastering when the user wants sheet music or a songbook for their album.
Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Advisory Warning/Info severity — flags issues, does not block or rewrite. Use when reviewing lyrics for authenticity or before generation to catch AI-sounding language.
Shared writing style rules for GitHub-facing output (PR comments, PR descriptions, PR titles, issues, design proposals). Differentiates insider vs outsider voice based on author association. Not typically invoked directly — loaded by other skills before composing GitHub text.
Shared writing style rules for GitHub-facing output (PR comments, PR descriptions, PR titles, issues, design proposals). Differentiates insider vs outsider voice based on author association. Not typically invoked directly — loaded by other skills before composing GitHub text.
Implements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies (compression, responsive images, lazy loading, CDN). Use when handling files, displaying media, or building rich content experiences.
提取小红书帖子内容（文字、图片、视频转录），整理为 Markdown 并保存
Use when building or editing any AI feature in n8n: AI Agents, Text Classifier, Information Extractor, Sentiment Analysis, Summarization Chain, Basic LLM Chain, embeddings, vector stores, single one-shot LLM calls, or AI media generation (image / audio / video) via the native LangChain provider nodes. Triggers on any `@n8n/n8n-nodes-langchain.*` node, "agent", "chat assistant", "LLM with tools", "tool calling", "fromAi", "system prompt", "memory window", "structured output", "outputParser", "function calling", "RAG", "vector store", "embeddings", "classify with AI", "extract fields with LLM", "sentiment analysis", "summarize with LLM", "single LLM call", chat triggers with files, AI image / video / audio generation, or any multi-turn or one-shot LLM behavior.