为 9:16 比例的 AI 知识视频制作并规范化插图、图表、图标、卡片、背景等视觉资产。在视觉方案之后使用，以构建一个层级清晰、风格统一、无意外文字或对齐缺陷的连贯资产库。
该技能专为生成 AI 知识视频所需的视觉资产而设计，确保所有元素（插图、图表、图标、卡片、背景等）遵循统一的视觉方案。它强制要求仅按已批准的视觉计划创建资产，并维护一致的调色板、描边语言、圆角半径、光照和细节水平。该技能会生成一个资产清单（manifest），并组织好分类文件夹，对于位置重要的资产会创建 9:16 场景预览。其核心规则强调插图必须传达概念，图表需要明确的节点和连接器，避免在生成的图像中出现意外文字，并保留安全区域和字幕空间。最终将验证透明度、裁剪边界、图像质量、色彩一致性和预期比例，然后将资产清单和文件传递给 `$ai-video-hyperframes` 进行后续处理。此技能适用于 Claude Code、Cursor、Codex 等支持自定义技能的 AI 代理平台。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-visual-assets仅构建经批准的视觉方案所要求的资产。重用连贯的调色板、描边语言、圆角半径、光照和细节水平。
生成资产清单（manifest）并为插图、图表、图标、背景和数据元素组织好分类文件夹。对于放置位置重要的资产，生成 9:16 的场景预览。
规则：
将清单和资产交给 $ai-video-hyperframes。
This repo contains 10 individual skills — each has its own dedicated page.
Coordinate the full production of a vertical AI knowledge video from mixed source materials through analysis, script, visuals, mandatory character and voice approval, captions, HyperFrames composition, motion, calibration, and delivery. Use when the user wants an end-to-end short-video workflow or needs to resume or revise one stage without losing downstream dependencies.
Perform the final global calibration and delivery gate for a HyperFrames vertical video. Use to inspect all visual positions and animation paths, eliminate accidental overlap or drift, verify full captions and technical encoding, render the final MP4, and export a storyboard for review.
Generate complete, timed Chinese captions from the canonical narration and final voiceover. Use when a vertical knowledge video needs full subtitle coverage, readable cue segmentation, keyword emphasis, SRT or JSON output, and an automated check that captions do not omit narration.
Complete the mandatory character-design gate for a vertical explainer video. Use when the specific presenter character is not yet chosen, when generating candidates and action sheets, or when replacing an approved character while preserving consistent proportions and clean transparent pose assets.
Analyze mixed source materials for a vertical AI knowledge video, including images, outlines, copy, scripts, videos and benchmarks. Use before writing the script to separate user instructions from source content and extract the audience problem, core argument, evidence, structure and visualization opportunities.
Assemble a portrait knowledge-video composition in HyperFrames from approved script, character, voice, captions and visual assets. Use to build deterministic 1080x1920 scene structure, media integration, safe-area layout and a paused GSAP timeline before detailed motion and sound polish.
Add controlled motion, scene transitions, background music and sound effects to an assembled HyperFrames vertical video. Use when the static composition is approved and needs tight pacing, readable animation, clean transitions and voice-first audio mixing.
Write a tight Chinese short-video script for AI knowledge and business education from an approved content analysis. Use to produce the 3–5 second hook, narrative progression, full narration, rhythm, visual notes, audio cues and CTA for a portrait video.
Turn an approved narration into a detailed 9:16 storyboard and shot plan. Use to decide scene timing, character actions, illustrations, diagrams, background treatment, captions, transitions and sound cues before asset production or HyperFrames implementation.
Complete the mandatory voice-selection and voiceover gate for a vertical knowledge video. Use when the concrete voice is unresolved, when comparing providers or voices, when generating an approval preview, or when producing final narration with preset or authorized cloned speech.
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.