agt-skill-pack 是做什么的？
将AI内容拆分为两层——AI生成原始素材（背景、角色、片段），代码组装交付物（文本、布局、渲染）。当AI生成的轮播图/卡片出现不一致、泰文字体损坏或每次重新生成都像赌博时使用。
将AI内容拆分为两层——AI生成原始素材（背景、角色、片段），代码组装交付物（文本、布局、渲染）。当AI生成的轮播图/卡片出现不一致、泰文字体损坏或每次重新生成都像赌博时使用。
该技能将AI内容生成过程解耦为两层：AI层负责生成原始素材（如背景、角色、图像片段），代码层负责组装最终交付物（包括文本排版、布局设计和渲染输出）。此方法解决了AI生成轮播图/卡片时常见的输出不一致问题，特别是对泰文字体等特殊字符支持不佳的场景。通过分离生成与组装，用户无需每次都重新生成全部内容，而是可以独立调整布局或替换素材，大幅提高迭代效率。该技能支持主流AI Agent平台（如Claude Code、Cursor），其核心工作机制依赖于SKILL.md中定义的清晰流程。
npx skills add somnus0x/agt-skill-pack将AI内容拆分为两层——AI生成原始素材（背景、角色、片段），代码组装交付物（文本、布局、渲染）。当AI生成的轮播图/卡片出现不一致、泰文字体损坏或每次重新生成都像赌博时使用。
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.