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Shot Image Generator Skill

Generate shot images by combining reference assets with shot specifications via AI APIs.

30|4|Updated Jan 26, 2026
Search Tags:#prompt engineering#image generation#visual consistency#video production#shot generation#reference-based generation
One-click install
npx skills add https://github.com/kaigani/codeywood --skill shot-image-generator-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Shot Image Generator Skill
Source: https://github.com/kaigani/codeywood/tree/main/skills/production/shot-image-generator
Command: npx skills add https://github.com/kaigani/codeywood --skill shot-image-generator-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of final shot images by precisely combining reference assets with detailed shot specifications, ensuring visual consistency and production readiness for video generation.

Core Features & Use Cases

  • Reference-Based Image Generation: Creates images using specified character, location, and prop references.
  • Prompt Engineering: Constructs detailed prompts from shot specifications and style guides.
  • API Integration: Connects to image generation APIs (e.g., fal.ai/recraft-v3) with configurable parameters and reference weights.
  • Quality Validation: Includes automated checks and flags for manual review to ensure single-moment, consistent outputs.
  • Use Case: Generate all the individual frames for a complex action sequence, ensuring character likeness and environmental consistency across dozens of shots.

Quick Start

Use the Shot Image Generator skill to create the image for shot EP01_SC03_SH02 using the provided shot list and references.

Frequently Asked Questions about Shot Image Generator Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate consistent character likeness and environmental consistency across multiple shot images?▼

Reference-based image generation ensures visual consistency by combining character, location, and prop reference assets with detailed shot specifications to construct precise prompts for video production pipelines.

Can I use shot specifications and reference assets with fal.ai image generation APIs?▼

Yes, this approach connects to image generation APIs like fal.ai/recraft-v3 using configurable parameters and reference weights, directly applying your shot specifications and reference assets to generate production-ready outputs.

What is the best way to automate batch processing for video production shot generation?▼

Automating shot generation involves managing prompt construction, API parameter configuration, and output logging, while applying automated quality checks and failure handling to ensure robust batch processing for final shot images.

How do I perform quality validation on AI-generated shot images for visual consistency?▼

Quality validation for AI-generated shot images uses automated checks to ensure single-moment, consistent outputs, flagging any anomalous results for manual review before they enter the video production pipeline.

Does prompt engineering for shot generation require detailed style guides and reference weighting?▼

Prompt engineering for shot generation requires detailed style guides and shot specifications to construct effective prompts, utilizing configurable API parameters and reference weighting to maintain visual consistency across production-ready images.

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