reels-deepagents 是做什麼的?
使用 HyperFrames 技術,為 LangChain 深度代理(Deep Agents)產生 Reels/TikTok 影片內容的技能。
使用 HyperFrames 技術,為 LangChain 深度代理(Deep Agents)產生 Reels/TikTok 影片內容的技能。
此技能(PrEEtPatEl44/reels-deepagents)專注於利用 HyperFrames 框架,為 LangChain 驅動的深度代理(Deep Agents)生成短影音內容,例如 Instagram Reels 或 TikTok 影片。其主要用途是讓 AI 代理能夠自動化地創作社群媒體上流行的垂直短影音,無需手動編輯或設計。根據其 SKILL.md 文件,該技能可能整合了 HyperFrames 的影片生成能力與 LangChain 的代理邏輯,讓開發者可以透過自然語言提示來產製影片。這對於需要大量影音內容的行銷人員、內容創作者或開發自動化社群媒體工具的工程師特別有用。不過,由於原始文件中並未提供詳細的技術步驟或平台支援列表,具體的實作方式仍需參考其 GitHub 儲存庫的完整說明。
npx skills add PrEEtPatEl44/reels-deepagents使用 HyperFrames 技術,為 LangChain 深度代理(Deep Agents)產生 Reels/TikTok 影片內容的技能。
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.