完成垂直型解說影片的必備角色設計關卡。在尚未選定特定主持人角色、生成候選者與動作圖稿，或更換已核准角色但需保持比例一致與乾淨透明姿勢素材時使用。
本技能專為AI技術影片與解說內容的垂直小螢幕使用需求而設計，提供完整的角色設計流程。其主要功能是引導使用者從未決角色狀態（unresolved）一路到生產就緒（production_ready），涵蓋候選生成、角色選定、動作圖稿製作與使用者核准等關鍵階段。此技能支援簡化動畫或線條藝術風格的解說角色，強調強烈的輪廓、有限的細節、一致的髮型/服裝/顏色以及可讀的姿勢。它能產出 `character-spec.md` 角色規格文件、動作圖稿以及 `character-poses/` 目錄中的獨立透明PNG檔案，確保每個姿勢的透明度、裁切邊界與一致性。驗證機制嚴格，會檢查臉部、髮型、服裝、身體比例、手部、線條品質、透明邊緣、裁切範圍以及跨姿勢的一致性，並拒絕任何肢體錯位、碎片殘留、拉伸或遮蔽重要資訊的姿勢。此技能適用於所有需要角色設計的影片製作平台，如Claude Code、Cursor等AI代理開發工具，是確保解說角色專業且一致性的必備步驟。
npx skills add https://github.com/Vange-wang/ai-knowledge-video-skills/tree/HEAD/skills/ai-video-character-design即使具體角色尚未決定，此階段仍為必經流程。切勿將角色身份未決視為省略此步驟的理由。
請遵循以下狀態流程：
unresolved → candidate_generated → character_selected → action_sheet_generated → user_approved → production_ready
建立一個適合重複在小螢幕上使用的簡化動畫或線條藝術解說角色。偏好強烈的輪廓、有限的細節、一致的髮型/服裝/顏色以及可讀的姿勢。
在完整生產前，先提供候選角色或動作圖稿供使用者核准。接著將每個所需姿勢匯出為獨立的透明PNG，而非依賴裁切後的圖塊集。
產出 character-spec.md、一份動作圖稿以及 character-poses/。驗證臉部、髮型、服裝、身體比例、手部、線條品質、透明邊緣、裁切範圍以及跨姿勢的一致性。拒絕肢體錯位、碎片殘留、拉伸以及任何遮蔽重要資訊的姿勢。
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.