skills.rest
wpfleger96
wpfleger96COMMUNITY
Explore all skills by this author →
GitHub

prompt-critique

Analyze historical Claude Code prompts and generate a Markdown critique report.

9|Updated Aug 15, 2025
Search Tags:#automation#analysis#evaluation#reporting#claude-code#prompt-engineering#prompt
One-click install
npx skills add https://github.com/wpfleger96/ai-rules --skill prompt-critique
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-critique
Source: https://github.com/wpfleger96/ai-rules/tree/main/src/ai_rules/config/skills/prompt-critique
Command: npx skills add https://github.com/wpfleger96/ai-rules --skill prompt-critique

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze historical Claude Code prompts to provide personalized, actionable feedback.

Core Features & Use Cases

  • Phase-based critique workflow: discovery, extraction, sampling, analysis, and reporting to improve prompting quality.
  • Structured evaluation: explicitness, framework use, context positioning, completeness, anti-patterns, security awareness, technique matching, and specificity.
  • Automated report generation: creates a comprehensive Markdown critique with before/after examples and quick wins.

Quick Start

Invoke the prompt-critique workflow on your recent Claude Code prompts to generate a detailed critique report.

Frequently Asked Questions about prompt-critique

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze historical Claude Code prompts to improve my prompt engineering?▼

You can analyze historical Claude Code prompts by sampling recent sessions to identify patterns and improvement opportunities. This process evaluates explicitness, context, and anti-patterns to generate a detailed Markdown report with actionable feedback.

What is the best way to get actionable feedback on my Claude Code prompts?▼

The best way to get actionable feedback is through a structured critique workflow that evaluates prompt explicitness, framework use, and specificity. It analyzes recent sessions and outputs before/after examples and quick wins in a comprehensive report.

How do I identify prompt anti-patterns and security issues in my Claude Code sessions?▼

To identify prompt anti-patterns and security issues, you can run an automated extraction and analysis phase on your recent Claude Code sessions. This evaluates technique matching and security awareness to highlight specific areas needing improvement.

Can I generate a structured Markdown report of my prompt engineering evaluation?▼

Yes, you can generate a structured Markdown report of your prompt engineering evaluation. The automated reporting phase creates a comprehensive critique document featuring before/after examples, quick wins, and pattern analysis.

Does prompt critique work across multiple Claude Code projects?▼

Yes, prompt critique applies to review sessions across multiple Claude Code projects. It samples prompts from your recent sessions to identify cross-project patterns and improvement opportunities for your overall prompt engineering strategy.

Related Skills

Explore More Software Engineering Skills→
d3mingd3ming

analyze-token-usage

Parse Claude Code JSONL session logs and aggregate token costs into markdown reports.

Community
Intermediate
ShaheerKhawajaShaheerKhawaja
8

productionos-refine

Refine flagged AI outputs through structured critique and convergence checks.

Community
Intermediate
mrzhao1277891mrzhao1277891

数据质量专家

Detect and repair crypto data quality issues across multiple timeframes.

Community
Advanced
codenamevcodenamev
74

specialist-review

Generate a structured review document from a single specialist perspective.

Community
Intermediate