reject-output
CommunityRecord bad image outputs and prevent repeats
Design & Creative#quality control#image generation#memory#LoRA#workflow debugging#failure categorization#rejection handling
Authorredbananastudios
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps teams stop repeating poor generations by turning user rejections into structured, searchable failure records linked to specific causes.
Core Features & Use Cases
- Failure categorization: Classifies rejections into prompt, workflow, provider, LoRA, dataset, quality, or composition to pinpoint the real driver of failure.
- Persistent memory updates: Writes failed-pattern entries into the system memory for later avoidance and troubleshooting.
- Workflow remediation: Revokes candidate LoRAs when LoRA-related failures occur and moves failed jobs into a failed queue while suggesting a targeted retry path.
Quick Start
Ask your AI to run Reject Output after a user rejects generated images so it records the rejection reason and the correct failure category for future prevention.
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: reject-output Download link: https://github.com/redbananastudios/ai-library/archive/main.zip#reject-output Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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