creative-eye
Give AI agents creative judgment and design taste. Use when: (1) creating any visual content — merch, social posts, ads, product photography, brand materials, (2) evaluating creative quality before publishing, (3) building a reference library or style guide, (4) setting up creative quality gates, (5) training an agent to develop aesthetic judgment. Triggers: 'review this design,' 'is this good enough to post,' 'creative quality,' 'design feedback,' 'brand consistency,' 'visual audit,' 'creative evaluation,' 'design taste,' 'aesthetic judgment,' 'pre-publish check.'
Best for Creative teamsWorks with GitHubLow risk
⌘source
- author
@LeoYeAI- language
- Python
★2kstars
306forks
May 6, 2026
✦overview.md
Key Features
- ·Frameworks for creative evaluation
- ·Self-critique workflows for agents
- ·Quality benchmarks and style guides
- ·Pre-publish quality gates
- ·Feedback loops to learn from failures
Use Cases
- →Reviewing a design before posting on social media
- →Evaluating creative consistency across brand materials
- →Setting up automated quality checks for visual content
- →Building a reference library of high-quality examples
Best for
- ✓Creative teams
- ✓Content pipelines
- ✓Brand consistency
Not ideal for
- !Technical code review
- !Non-visual tasks
FAQs
name
creative-eye
description
Give AI agents creative judgment and design taste. Use when: (1) creating any visual content — merch, social posts, ads, product photography, brand materials, (2) evaluating creative quality before publishing, (3) building a reference library or style guide, (4) setting up creative quality gates, (5) training an agent to develop aesthetic judgment. Triggers: 'review this design,' 'is this good enough to post,' 'creative quality,' 'design feedback,' 'brand consistency,' 'visual audit,' 'creative evaluation,' 'design taste,' 'aesthetic judgment,' 'pre-publish check.'
Creative Eye — Design Judgment for AI Agents
The Problem
AI agents ship bad creative because they have no taste. Specifically:
- They confuse "exists" with "good." Generating output ≠ creating quality. The first version is almost never good enough, but agents treat it as done.
- They have no benchmarks. Without seeing what "great" looks like, agents can't distinguish amateur from professional work.
- They optimize for volume over quality. 50 mediocre variations when 1 excellent piece would outperform all of them combined.
- They can't self-evaluate. They lack the vocabulary and frameworks to critique their own work.
- They don't learn from failures. Same mistakes repeat across sessions because there's no feedback loop.
This skill provides the frameworks, prompts, and workflows to fix all five problems.
The Framework: STUDY → COMPARE → CREATE → EVALUATE
Every creative task follows this sequence. Never skip steps.
1. STUDY — Build Taste Through Exposure
Before creating anything in a given domain, study what "great" looks like.
Daily practice (10 min): Pick ONE brand or creator. Analyze ONE piece of their content. Ask:
$install
1-click copynpx skills add LeoYeAI/openclaw-master-skills --skill creative-eyeSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
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Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.