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 347 copies of these same skills sitting in other people's repositories — counted once here, not 347 times.
3 032 unique 496 authors 13 updated this month 173 from vendors
Most video editing tools make a promise they don't keep: "easy video editing." Then you spend 45 minutes figuring out how to sync audio, another 30 mi Nemo Edit is a powerful AI-powered online video editing skill from NemoVideo, designed for content creators, social media managers, small business owners, marketers, educators, YouTubers, TikTokers, Instagram Reels creators, and anyone who needs to produce polished, professional videos without spending hours in complex editing software. With Nemo Edit, you can trim and cut footage, merge clips, add subtitles and captions automatically, adjust speed and pacing, apply color correction, insert music and sound effects, and export optimized videos for any platform — all from a simple, intuitive interface powered by AI that automates the tedious work so you can focus on telling your story. nemo edit, NemoVideo editor, nemo video editor, nemo edit video, AI video editor, online video editor, video editing AI, easy video editor, fast video editor, video editor online free, AI video editing tool, auto video editor, smart video editor, video editor for creators, video editor for social media, video editor for YouTube, video editor for TikTok, video editor for Instagram, video editor without software, browser video editor, cloud video editor, video editor no download, professional video editor online, video editing made easy, AI cut video, auto caption video editor, video editor with subtitles, video editor with music, video editor with templates, video editor export MP4, best online video editor 2025, nemo video editing, edit video AI, video editor beginner, video editor fast export, NemoVideo edit NemoVideo's Nemo Edit serves over **500,000 active creators** across 140 countries, processing more than **2 million video editing sessions per month**. The platform's AI editing engine reduces average video production time by 73% compared to traditional desktop editing software — from an average of 3.2 hours to 52 minutes for a typical 5-minute finished video.
Local speech-to-text with the Whisper CLI (no API key).
Breaks down trading ideas into component parts for systematic Pine Script implementation. Use when analyzing trading concepts, decomposing strategies, planning indicator features, or extracting ideas from YouTube videos. Triggers on conceptual questions, "how would I build", YouTube URLs, or video analysis requests.
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creatio...
Multi-provider image generation with automatic priority fallback Multi-provider image generation with priority fallback. Supports 1K/2K/4K, multiple aspect ratios, auto fallback.
Multi-provider video generation with async polling and automatic model fallback Generate short videos via relay with provider priority fallback. Google Gemini Veo 3.1 (primary, direct API) → Xingjiabi (kling-video fallback).
Build polished showcase and demo videos from screenshots, avatars, and text overlays using ffmpeg. Use when creating demo reels, hackathon presentations, product walkthroughs, or social media video content from static assets. Requires ffmpeg.
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
TikTok content strategy and video script generator for any niche. Hook formulas, viral script structures, trend-riding tactics, and a systematic approach to growing from 0 to a monetizable TikTok audience.
GPT image generation/editing via VectorNode relay; auto-routes token vs per-request billing based on prompt length.
VectorNode 中转站 GPT Image 图片生成与编辑（按提示词长度自动路由 gpt-image-2 Token 计费 / gpt-image-2-all 按次计费）。Use when: 画图、生图、生成图片、gpt生图、VectorNode、gpt-image、image generate、image edit、编辑图片。Requires VECTORNODE_API_KEY in ~/.openclaw/.env.
Burn existing subtitles or captions directly into video exports so they remain visible across platforms and players. Use when a team already has captions and needs a platform-ready, subtitle-baked video for social, ads, storefronts, or review links.
下载视频并用AI分析内容 - 支持B站/抖音/YouTube等平台，提取语音内容并分析视频结构
Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.
Video lyrics subtitle generator — create synchronized subtitle files for music videos
When the user wants to plan video marketing, create video scripts, or optimize for short-form or long-form video. Also use when the user mentions "video marketing," "video script," "short-form video," "long-form video," "TikTok script," "Reels script," "YouTube script," "video hook," or "video content strategy.
合并多个分段视频为一个完整视频，并发送到飞书。使用ffmpeg拼接视频片段，支持淡入淡出转场。触发场景：用户需要合并视频片段、拼接分镜视频、视频合并后发飞书、把多个短视频合成一个、分段视频合并发送。配合 jimeng-storyboard skill 使用，完成数字人视频全流程。
Create video scripts and publishing materials for YouTubers/UP主. Use when user wants to prepare a video, write a script (口播稿), generate video title, description, tags, or chapter timestamps. Triggers on "写视频脚本", "视频口播稿", "video script", "prepare video", "视频发布素材", or mentions creating content for YouTube/Bilibili.
Generate SRT subtitles from video/audio with translation support. Transcribes Hebrew (ivrit.ai) and English (whisper), translates between languages, burns subtitles into video. Use for creating captions, transcripts, or hardcoded subtitles for WhatsApp/social media.
视频转写工作流，支持B站和YouTube视频。自动判断有字幕/无字幕，有字幕则获取字幕，无字幕则下载音频+whisper转写。触发场景：(1) 用户要求总结视频内容 (2) 用户要求获取视频字幕 (3) 用户要求转写视频 (4) 处理B站/YouTube视频
口播视频转录和口误识别。生成审查稿和删除任务清单。触发词：剪口播、处理视频、识别口误
Virtual singer MV script generator — audio analysis to video storyboard pipeline
微信 (WeChat) 与 OpenClaw 的双向集成通道。基于 Wechaty + PadLocal 实现微信消息的接收和发送，支持私聊、群聊、@提及检测、图片/文件传输。当需要通过微信与 AI 助手交互、接收微信消息触发 AI 响应、或从 OpenClaw 发送消息到微信时使用此技能。
> 公众号文章全自动流水线：写作→封面→发布。三段式编排 wechat-article-writer / code-to-image / md2wechat，
微信视频号助手网页版视频发布全流程。通过浏览器自动化操控 channels.weixin.qq.com 完成登录检测、扫码登录、上传视频、填写描述和短标题、截图确认后发布或保存草稿。触发场景：用户需要发布视频到视频号、视频号发布、视频号上传视频、发视频号。
易经占卜系统。支持铜钱法、蓍草法起卦，生成本卦、互卦、变卦，提供Oracle Voice诠释。当用户请求占卜、问卦、易经解读、或寻求决策指引时使用。
Generate complete YouTube videos from a single prompt - script, voiceover, stock footage, captions, thumbnail. Self-contained, no external modules. 100% free tools.
This skill performs deep analysis of YouTube videos through **both information channels** Multimodal YouTube video analysis through both audio (transcript) and visual (frame extraction + image analysis) channels. Especially powerful for HowTo videos, tutorials, demos, and explainer videos where what is SHOWN (screenshots, UI demos, diagrams, code, physical actions) is just as important as what is SAID. Use this skill whenever a user wants to analyze, summarize, or create step-by-step guides from YouTube videos, or when they share a YouTube URL and want to understand what happens in the video. Triggers on requests like "Analyze this YouTube video", "Create a step-by-step guide from this video", "What does this video show?", "Summarize this tutorial", or any YouTube URL shared with analysis intent.
Publish and manage content on 知识星球 (zsxq.com). Supports talk posts, Q&A, long articles, file sharing, digest/bookmark, homework tasks, and tag management. Use when publishing content to 知识星球, creating/editing posts, uploading files/images/audio, managing digests, batch publishing, or formatting content for 知识星球.
> Convert text posts into visual carousel images or presentations for Threads, Instagram, LinkedIn, TikTok, YouTube. 12 slide types (incl. image/emoji/number), 6 format presets (incl. 1920×1080 wide), 8 background styles (incl. ruled paper), 3-axis style system (font × color × purpose), highlighted keywords with optional italic-box style. Generates PNG or single-file PDF via Next.js preview + browser export. RU/EN toolbar.
> Receive and verify Bunny Stream webhooks. Use when setting up Bunny Stream webhook handlers, debugging X-BunnyStream-Signature verification, or handling video encoding events like Status 3 (Finished / encoding done), Status 5 (Failed), or captions and title/description generation.
> Receive and verify Google Gemini API webhooks. Use when setting up Gemini webhook handlers for batch jobs, video generation, or Interactions API function-calling LROs, debugging signature verification, or handling events like batch.succeeded, batch.failed, video.generated, or interaction.completed.
> Receive and verify Retell AI webhooks. Use when setting up Retell webhook handlers, debugging X-Retell-Signature verification, or handling voice call events like call_started, call_ended, call_analyzed, and transcript_updated.
> Receive and verify TikTok for Developers webhooks (Login Kit, Content Posting, Data Portability). Use when setting up TikTok webhook handlers, debugging TikTok-Signature verification, or handling events like authorization.removed, video.upload.failed, video.publish.completed, or portability.download.ready. Not for TikTok Shop — see tiktok-shop-webhooks.
> Receive and verify Twilio webhooks. Use when setting up Twilio webhook handlers, debugging X-Twilio-Signature verification, or handling communications events like incoming SMS, voice calls, message status callbacks (delivered, failed), or recording status callbacks.
>- Add an SBOM (Software Bill of Materials) generation step to an existing Harness pipeline using Harness SCS SscaOrchestration (SBOM Orchestration). Supports container images and code Syft or cdxgen, SPDX or CycloneDX, optional SBOM attestation. Only works with existing pipelines. Use when asked to create an SBOM, generate a bill of materials, add SBOM to a pipeline, scan a container image or repo for components, or set up SBOM Orchestration. scan for dependencies, SBOM Orchestration, add Generate SBOM step.
Use when the user attended one or more sessions of a conference (with audio recordings + slide photos) and needs help building (1) faithful per-session reconstructions in markdown (slide visuals + speaker transcript with Whisper hallucination annotations), and (2) a downstream report deliverable whose scope and format are decided interactively with the user. Pipeline phase (raw → mlx_whisper Chinese SRT → per-slide multimodal reconstruction → official agenda cross-check via Playwright if available) is deterministic. Report phase is interactive — always quiz user on scope (single-session / single-day / multi-day synthesis), format (existing template / free-form fallback), recipient (formal / informal), and any business workstream mapping before drafting.
Use when the user asks to generate an image via GPT/Codex (e.g. 「叫 gpt 生圖」「幫我用 gpt 生圖」「gpt 畫一個 X」). The skill drafts a Chinese + English prompt pair, iterates with the user until they explicitly approve, then dispatches Codex CLI ($imagegen skill, codex built-in image_gen) in the background, monitors progress, converts the result to a jpg in the current working directory, and writes a sidecar prompt log. Does text-to-image AND img2img — drop a reference image (on-disk file) and it runs Codex `-i` to lock a face/character across scenes.
Use when the user wants to build a consistent-identity LoRA for an original character — defining the character, generating a face/body-consistent multi-angle dataset (via the gpt-image-gen skill for codex image generation), captioning it, doing base-specific homework, training on a chosen base (Pony / Z-Image / others) on a local GPU, and producing a usable LoRA. This skill ORCHESTRATES the end-to-end pipeline and gates every expensive/irreversible step; it delegates actual image generation to gpt-image-gen and never improvises training settings from memory.
Use when the user wants a Traditional Chinese (Taiwan) language review of Markdown or plain-text files — flagging genuinely comprehension-breaking grammar faults (missing subject, broken predicate, wrong measure word, misused connectives, inconsistent naming) and non-Taiwanese wording (mainland-Chinese terms, translationese) with replacement suggestions. High bar on grammar: only reports what actually misleads the reader; pure style preferences, punctuation nits and unavoidable loanwords are let through. Phase 1 is a read-only report; Phase 2 (applying edits) only runs after the user explicitly approves. NOT for changing tone or voice (that is rewrite-tone), NOT for rewriting content, adding facts, or translating between languages.
Use when the user wants privacy-respecting web, image, news, or video search through a configured local SearXNG instance instead of external search APIs. Calls the bundled script against SEARXNG_URL, supports result limits/categories/language/time range, and can return human-readable or JSON output. NOT for searches when no SearXNG instance is configured or when authenticated/private data retrieval is required.
Source b-roll for a video edit — classify each moment, scope the search, return vetted candidates, place on the word. Use when the user says "find b-roll", "/find-broll", "source clips for this edit", or wants footage/memes/screenshots to lay over a talking-head video.
Design principles and techniques for creating technical exploded-view diagrams and engineering documentation posters.
Extract key frames (I-frames) from video files using FFmpeg to identify scene changes and important moments.
Use OpenCV for image processing, grayscale conversion, and template matching to detect objects in images.
Creating technical diagrams and exploded-view illustrations using Python Pillow with geometric primitives and text annotations.
Extract key frames (I-frames) from video files using FFmpeg for analysis and processing.
Convert images from RGB/BGR to grayscale using OpenCV and save in-place.