image-qa
CommunityApprove or reject images with learning feedback.
Design & Creative#quality assurance#image generation#prompt evaluation#failure categorization#LoRA management#workflow registry
Authorredbananastudios
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill prevents wasted iterations by judging generated image outputs and converting approvals or rejections into structured learning signals that improve future results.
Core Features & Use Cases
- Approve outcomes with evidence: Marks jobs as approved, copies winning images into selected outputs, and records winning patterns (including seeds, prompts, and LoRAs used).
- Reject outcomes with actionable diagnosis: Categorizes failure type, records failed patterns with suggested fixes, and moves failed jobs to the failed queue.
- Improves future generation via registries: Promotes or revokes candidate LoRAs when applicable and appends workflow success metrics to a workflow registry.
Quick Start
Ask the assistant to approve or reject the generated image results for a specific job ID, and include any notes or a failure category so the Skill can update metadata, write pattern records, and suggest the next retry strategy.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: image-qa Download link: https://github.com/redbananastudios/ai-library/archive/main.zip#image-qa Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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