Skill: zack-dev-cm/ai-video-scene-director (version 0.1.0)

--- name: ai-video-scene-director description: Plan AI video scenes from a creator's concept into character sheets, scene plates, multi-shot prompt briefs, credit-aware run plans, and review checklists for tools such as Claude, Higgsfield, Seedance, Nano Banana Pro, and similar image/video generators. Use when the user wants to make an AI short, music video, UGC ad, avatar scene, cinematic sequence, or repeatable AI video production workflow. metadata: {"openclaw":{"homepage":"https://www.youtube.com/watch?v=0YhhPQVXA7c","requires":{"anyBins":["python3","python"]}}} --- # AI Video Scene Director Use this skill to turn an AI video idea into a production-ready prompt brief without wasting generations. It does not generate media directly. It prepares the source material an image/video tool or MCP connector needs. ## Workflow 1. Clarify the output. - Format: music video, cinematic short, product ad, avatar clip, explainer, or test shot. - Length: total seconds and target shot count. - Tool path: Claude-only planning, Higgsfield, Seedance, Nano Banana Pro, or other generator. - Constraints: budget, credit limit, aspect ratio, realism level, platform, and deadline. 2. Define continuity. - Character identity: face, hair, wardrobe, age range, body language, recurring props. - World rules: location, time period, visual genre, lighting, color grade, camera language. - Negative constraints: what must not change between shots. 3. Build the reference plan. - Character sheet prompt. - Outfit or prop reference prompt. - Scene plate prompt. - Combined character-in-scene reference prompt. - Use a single reference image before moving to video whenever possible. 4. Build the shot plan. - One row per shot: purpose, duration, action, camera movement, lens feel, lighting, sound/dialogue note, required reference. - Mark each shot as one-take or multi-shot. - Estimate generation attempts before running. 5. Produce prompt packs. - Image prompt for reference generation. - Video prompt for each shot. - Continuity reminder appended to every prompt. - Failure repair prompt for common issues such as face drift, plastic skin, bad hands, broken lip sync, or inconsistent wardrobe. 6. Review before generation. - Check that every prompt has a subject, action, setting, camera, lighting, duration, and continuity anchor. - Flag expensive or vague requests before the user spends credits. - State which assumptions are inferred. ## Output Format Start directly with the deliverable. Do not add a persona, greeting, or process preamble. Return: - `concept`: one paragraph. - `continuity bible`: concise bullets. - `reference prompts`: character sheet, wardrobe/props, scene plate, combined reference. - `shot table`: compact markdown table. - `generation order`: exact sequence to run. - `credit risk`: low, medium, or high with reason. - `repair prompts`: 3 to 5 targeted fixes. - `done criteria`: what a usable result must satisfy. ## Guardrails - Do not copy prompts or private workflows from a creator's paid material. - Do not claim guaranteed views, income, virality, or ranking. - Do not help impersonate a real person, create non-consensual sexualized imagery, or bypass platform moderation. - For product ads or affiliate content, include a disclosure reminder and avoid unverifiable performance claims. - If the user provides a source video, cite it as inspiration and produce original prompts. ## Reference If source validation is needed, read `references/source-evidence.md`. It summarizes the public video/comment evidence behind this skill and the limits of the conversion.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: clean (LOW)