guangjun5952/tvc-ai-director/tvc-director-treatment
Claude Code and agent skill by guangjun5952/tvc-ai-director
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TVC director treatment and visual development skill for advertising films. Use when Codex needs to produce rich director statements, image style, camera language, rhythm, performance/persona design, character turnaround prompts, scene design, art direction, lighting, product presentation, music/sound mood, reference analysis, GPT Image 2 visual-generation prompts, or client-facing treatment decks for a TVC.
Install
npx vskill@latest install guangjun5952/tvc-ai-director/tvc-director-treatmentSKILL.md
TVC Director Treatment
Use this skill to translate an approved creative concept into a rich director treatment and visual development package.
The output should explain both:
- Why this execution expresses the creative idea.
- What visual evidence the client can see before production.
Core Stance
- Write as a director speaking to a client, not as a production checklist.
- Be richer than a short style note: include emotion, image logic, camera grammar, performance, world, product, rhythm, sound, and visual proof.
- Use image generation as a treatment tool. For every major visual section, write a GPT-Image2-ready prompt and generate the corresponding image by default when image tools are available.
- Only skip image generation when the user explicitly asks for text/prompts only, or when the current environment cannot generate images.
- Keep generated visuals as references for approval, not final production frames unless the user asks.
Workflow
- Confirm inputs:
- Approved creative idea or proposal route.
- Product truth, audience, channel, duration, visual references, actor policy, and AI/live-action mode.
- If these are missing and affect treatment direction, route back to
$tvc-brief-strategistor$tvc-concept-developer.
- Load visual development guidance when images are needed:
- Read
references/visual-development.md. - Use it to create visual deliverables and image-generation prompts.
- Build the treatment:
- Director statement.
- Film promise and emotional arc.
- Image style and color system.
- Camera language and lens/movement grammar.
- Rhythm and edit feeling.
- Performance and persona design.
- Scene/world design.
- Product presentation.
- Art direction, lighting, texture.
- Music and sound.
- Reference and visual development plan.
- Generate visual assets for each major section:
- Image style reference.
- Camera language reference.
- Performance/persona design, including character three-view when relevant.
- Scene setting image.
- Product presentation image.
- Lighting/color mood image.
- Key visual or hero frame.
- For each asset, output the GPT-Image2 prompt, generate the image, show it inline, and preserve the prompt used.
- Hand off to:
$tvc-ppm-producerfor PPM expansion.$tvc-storyboard-writerfor shot-by-shot structure.$tvc-ai-shot-prompterif visual prompts need per-shot conversion.
Output Format
Image Generation Rules
- Generate images by default for the visual sections when image tools are available.
- If the user asks for prompts only, do not generate images.
- If image tools are unavailable or blocked, provide GPT Image 2-ready prompts and explicitly state that image generation was not executed.
- For OpenAI image API implementation details, use
$openai-docswhen current API syntax matters. - For normal in-chat image generation, use
$imagegenbehavior when available. - Do not invent exact brand packaging details not present in the provided product reference.
- For product images, require reference-image fidelity and block logo/text hallucination.
- For character three-view, specify front, side, back views on one clean sheet, consistent wardrobe and face, neutral pose.
- For multiple treatment images, generate one asset per prompt rather than asking for a single collage unless the section specifically needs a beat-board or three-view sheet.
Quality Bar
- Every visual choice must serve the creative idea and audience psychology.
- Treatment writing must explain "why this visual language", not merely list adjectives.
- Each generated/reference image must answer a client question.
- Preserve continuity for later storyboard and AI prompting.
- Product presentation must protect shape, logo, package color, material, and scale.
- Character/persona design must match audience and avoid celebrity likeness unless explicitly approved.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingtvc-director-treatment/SKILL.md
Popularity
- Repository stars
- 56
- Repository forks
- 1
- 7-day trend score
- 20
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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