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Evaluation Skill

No more guessing in product evaluation
Score products with AI's perspective
Core Principle:
This Skill helps you build a professional product evaluation system. It designs assessment criteria, generates AI scoring templates, calculates human-AI rating differences, making product optimization effortless. Like hiring an AI consultant team for your product.
KEY FEATURES
01Standard Design
Helps build scientific product evaluation dimensions
02AI Scoring
Automatically generates LLM-as-a-Judge evaluation templates
03Difference Analysis
Pinpoints root causes of human-AI rating discrepancies
04Optimization Tips
Provides concrete improvement directions based on scoring differences
github.com/fangmenglin918-web/evaluation-skill
data-ai·fangmenglin918-web·2026-01-29·3·🔱 0
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/fangmenglin918-web/evaluation-skill.git
SSH
git clone [email protected]:fangmenglin918-web/evaluation-skill.git
GitHub CLI
gh repo clone fangmenglin918-web/evaluation-skill
FAQ
Q: What are the installation steps for Evaluation Skill Agent Skills?
1.Set Criteria: Define product evaluation dimensions and weights
2.Generate Template: Create LLM scoring prompt
3.Get Scores: Collect human and AI evaluation results
4.Analyze Differences: Identify key points of scoring discrepancy
Q: What are the highlights of Evaluation Skill Agent Skills?
  • Objective evaluation
  • AI-assisted decisions
  • Quantified performance
  • Uncover hidden issues
Q: What are the use cases for Evaluation Skill Agent Skills?
  • New feature evaluation
  • Competitor analysis
  • UX optimization
  • Product iteration decisions
Q: What are the limitations of Evaluation Skill Agent Skills?
  • Requires manual input of initial product data
  • Evaluation criteria need periodic updates