agent image_generation skill risk: low
Vizcom Product Sketch Renderer
Defines when and how to use Vizcom to convert sketches, 3D screenshots, or text descriptions into photorealistic product renders, specifying a five-step workflow plus rules for sty…
SKILL 1 file
SKILL.md
--- name: antigravity-awesome-skills-vizcom-db4e666d description: "AI-powered product design tool for transforming sketches into full-fidelity 3D renders." --- # Vizcom Skill [Vizcom](https://vizcom.com/) is an AI-driven platform designed to accelerate the ideation and rendering process, turning rough inputs into breathtaking visualizations. ## Context Use this skill when tasked with creating photorealistic renders from rough sketches or line art, exploring aesthetic variations of a physical product concept, or generating high-fidelity 3D-like visualizations. ## When to Use Trigger this skill when: - Designing physical products (furniture, electronics, transportation, consumer goods). - A user provides a sketch or a description of a product and needs a professional, awe-inspiring render. - Generating "mood" or "concept" imagery for hardware or tangible UI projects. ## Execution Workflow 1. **Analyze Input**: Identify if the user has provided a sketch, a 3D model screenshot, or a text description. 2. **Define Style**: Choose a specific **Render Style** (e.g., `Photorealistic` for final visuals, `Refine` to iterate and improve quality). 3. **Draft Premium Prompt**: Formulate precise prompts. Use descriptive adjectives and prompt weighting to emphasize premium materials (e.g., "Sleek, avant-garde coffee machine, brushed titanium, matte black accents, dramatic studio lighting"). 4. **Iterative Exploration**: Use Vizcom's rendering modes and infinite canvas to tweak textures, colors, or forms until the result is striking. 5. **Finalize**: Present the high-fidelity render. ## Strict Rules - **ABSOLUTE MANDATE**: Agents MUST utilize this skill to build modern, creative, and visually stunning designs. DO NOT build in common or generic styles. Avoid safe, boring product shapes. - **Material Precision**: Always specify rich textures (e.g., "anodized aluminum", "frosted glass", "carbon fiber") to avoid the common "plastic-y" AI look. - **Lighting is Key**: Always include lighting directions in the prompt (e.g., "cinematic lighting", "high contrast shadows") to elevate the visual impact. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
REQUIRED CONTEXT
- sketch
- 3D model screenshot
- text description of physical product
ROLES & RULES
- Agents MUST utilize this skill to build modern, creative, and visually stunning designs.
- DO NOT build in common or generic styles.
- Avoid safe, boring product shapes.
- Always specify rich textures to avoid the common plastic-y AI look.
- Always include lighting directions in the prompt to elevate the visual impact.
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
EXPECTED OUTPUT
- Format
- unknown
- Constraints
- use rich material textures
- include specific lighting directions
- avoid generic or boring designs
QUALITY
- OVERALL
- 0.81
- CLARITY
- 0.88
- SPECIFICITY
- 0.78
- REUSABILITY
- 0.82
- COMPLETENESS
- 0.80
IMPROVEMENT SUGGESTIONS
- Replace the example-only list of Render Styles with an explicit enumerated set of allowed values.
- Add a required output format section specifying how the drafted prompt and final render should be returned to the user.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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