reef 是做什麼的？
持續學習基礎架構，用於自我進化的 AI 代理
持續學習基礎架構，用於自我進化的 AI 代理
Reef 是一套專為需要持續學習與自我進化的 AI 代理設計的基礎架構。它讓代理能記錄過往經驗、儲存知識，並在未來任務中重複運用這些資訊，從而逐步提升效能，無需仰賴人工重新訓練或外部干預。此技能支援多種代理框架，例如 Claude Code、Cursor 與 Codex，並可透過標準化介面與既有開發工具鏈整合。其核心運作原理是將代理的互動記錄與決策軌跡儲存於結構化儲存庫中，並在類似情境下自動檢索相關經驗，實現動態知識累積與跨會話的持續改進。
npx skills add Human-Agent-Society/reef持續學習基礎架構，用於自我進化的 AI 代理
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.