完成竖版解说视频中强制性的角色设计阶段。当具体主持人角色未选定、需要生成候选角色和动作表时，或替换已批准角色同时保持一致比例和干净透明姿态素材时使用。
该技能专门用于AI解说视频制作中的角色设计阶段，即使具体角色尚未确定，也必须执行此步骤。它遵循一个严格的状态流程：从“未确定”到“候选生成”、“角色选定”、“动作表生成”、“用户批准”，最后进入“生产就绪”。技能要求创建简化动漫或线稿风格的解说角色，适合在小型屏幕上重复使用，强调强剪影、有限细节、一致的发型/服装/颜色以及易读的手势。最终输出包括角色规格文档（character-spec.md）、动作表以及每个所需姿态的独立透明PNG图片（存放在character-poses/目录中），而非依赖裁剪的精灵表。它还能对脸部、发型、服装、身体比例、手部、线条质量、透明边缘、裁剪边界以及各姿态间的一致性进行验证，并拒绝任何肢体错位、碎片、拉伸或遮挡关键信息的姿态。该技能适用于Claude Code、Cline等支持自定义指令的AI编程代理。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-character-design即使具体角色尚未确定，此阶段也必须执行。切勿将角色未确定视为可跳过此阶段的理由。
请遵循以下状态流程：
unresolved → candidate_generated → character_selected → action_sheet_generated → user_approved → production_ready
创建一个简化的动漫或线稿解说角色，适合在小屏幕上重复使用。优先选择强剪影、细节有限、一致的发型/服装/颜色以及清晰易读的手势。
在全面生产之前，提供候选角色或动作表供用户批准。然后，将每个所需姿态导出为独立的透明 PNG，而不是依赖裁剪后的精灵表。
生成 character-spec.md、一个动作表和 character-poses/ 目录。验证脸部、发型、服装、身体比例、手部、线条质量、透明边缘、裁剪边界以及各姿态间的一致性。拒绝肢体错位、零散碎片、拉伸以及任何遮挡关键信息的姿态。
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.
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.
Produce and normalize illustrations, diagrams, icons, cards, backgrounds and other visual assets for a 9:16 AI knowledge video. Use after the visual plan to build a coherent asset library with clean hierarchy, consistent style and no accidental text or alignment defects.
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.