claudekit-skills 是做什么的？
使用 FFmpeg（视频/音频编码、转换、流媒体、滤镜、硬件加速）和 ImageMagick（图像处理、格式转换、批量处理、特效、合成）处理多媒体文件。当需要转换媒体格式、使用特定编解码器（H.264、H.265、VP9）编码视频、调整/裁剪图像大小、从视频中提取音频、应用滤镜和特效、优化文件大小、生成流媒体清单（HLS/DASH）、生成缩略图、批量处理图像时使用。
使用 FFmpeg 和 ImageMagick 处理多媒体文件：视频/音频编码、转换、流媒体、滤镜、硬件加速，以及图像处理、格式转换、批量处理、特效与合成。
此技能为 AI 代理（如 Claude Code、Cursor、Codex 等）提供了多媒体文件处理的专业能力，底层集成了 FFmpeg 和 ImageMagick 两大重量级工具。它支持常见的视频/音频编解码器（包括 H.264、H.265、VP9）、流媒体清单生成（HLS/DASH）、硬件加速、滤镜特效以及文件大小优化。同时，它还涵盖图像处理任务，如格式转换、调整大小、裁剪、旋转、添加水印、批量处理与合成。用户可以通过自然语言指令调用该技能，实现诸如“将此视频转换为 H.265 格式并生成缩略图”、“提取音频并优化文件大小”、“为所有图片添加水印并调整尺寸”等复杂多媒体工作流。该技能适用于本地和云端环境，大幅简化了原本需要记忆复杂命令行参数的多媒体处理操作。
npx skills add https://github.com/mrgoonie/claudekit-skills/tree/main/.claude/skills/media-processing使用 FFmpeg（视频/音频编码、转换、流媒体、滤镜、硬件加速）和 ImageMagick（图像处理、格式转换、批量处理、特效、合成）处理多媒体文件。当需要转换媒体格式、使用特定编解码器（H.264、H.265、VP9）编码视频、调整/裁剪图像大小、从视频中提取音频、应用滤镜和特效、优化文件大小、生成流媒体清单（HLS/DASH）、生成缩略图、批量处理图像时使用。
This repo contains 3 individual skills — each has its own dedicated page.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, animations, custom shaders, PBR materials, VR/XR experiences, games, data visualizations, product configurators.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
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...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.