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approve-output

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Approve outputs, learn what works.

Design & Creative#image generation#workflow optimization#human-in-the-loop#creative assets#model improvement#approval pipeline#LoRA promotion
Authorredbananastudios
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of reviewing generated image results and turning user approvals into durable project knowledge.

Core Features & Use Cases

  • Approval status tracking: Marks a job’s generated outputs as approved by updating approval_status in metadata.json.
  • Curated image selection: Copies approved images from the job’s all/ output to selected/ for easy reuse.
  • Knowledge accumulation: Records user-approved details into winning-patterns.md and updates workflow-registry.json to improve future workflow selection.
  • Optional candidate LoRA promotion: If a candidate LoRA was used, promotes it by updating its status and approval fields for future automatic selection.

Quick Start

Tell the AI which images to approve for a given job, for example: "Approve all images for job_id 12345 and note which ones look best for the packshot style."

Dependency Matrix

Required Modules

None required

Components

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: approve-output
Download link: https://github.com/redbananastudios/ai-library/archive/main.zip#approve-output

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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