llava 是做什么的？
视觉语言聊天：图像问答、描述生成、图像对话。
视觉语言聊天：图像问答、描述生成、图像对话。
该技能基于 LLaVA (Large Language and Vision Assistant) 模型，支持多模态视觉语言交互。用户可以通过上传图像，结合文本提示进行视觉问答 (VQA)、图像描述生成以及图像对话。技能适用于 AI 代理工具（如 Claude Code、Cursor、Codex 等），让 AI 能够理解图像内容并做出上下文感知的回答。其工作流程通常涉及将图像编码为视觉嵌入，然后与语言模型结合处理，从而实现自然的多模态对话。该技能适合需要图像理解、分析或创意描述的场景，如辅助设计审查、数据可视化解读或生成图像相关的营销文案。
npx skills add https://github.com/wundercorp/loki/tree/main/optional-skills/mlops/llava视觉语言聊天：图像问答、描述生成、图像对话。
This repo contains 1 individual skill — each has its own dedicated page.
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.