critical-peer

Verify claims and challenge anti-patterns with concrete improvements.

3|1|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/jagreehal/jagreehal-claude-skills --skill critical-peer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: critical-peer
Source: https://github.com/jagreehal/jagreehal-claude-skills/tree/main/skills/critical-peer
Command: npx skills add https://github.com/jagreehal/jagreehal-claude-skills --skill critical-peer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enforces professional skepticism, pattern enforcement, and coaching in Claude-style conversations, ensuring verification before agreement, immediate challenge of anti-patterns, and proposing concrete improvements instead of asking.

Core Features & Use Cases

  • Verify claims before agreeing by inspecting evidence and citing patterns.
  • Challenge pattern violations with actionable refactors and precise language.
  • Propose improvements rather than asking for preferences, with concise, factual output.
  • Follow a research-first approach to ground responses in evidence and sources.

Quick Start

Instruct the assistant to verify a claim, identify any pattern violations, and propose concrete improvements in a concise, literal manner.

Frequently Asked Questions about critical-peer

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

FAQPage Schema
How do I enforce professional skepticism and verify claims during a code review?▼

Enforce professional skepticism during a code review by instructing the assistant to inspect evidence, cite patterns, and challenge anti-patterns with actionable refactors. This ensures claims are verified before agreement and concise, literal responses are generated.

What is the best way to challenge anti-patterns in design discussions?▼

The best way to challenge anti-patterns in design discussions is to verify claims against established patterns and propose concrete improvements rather than asking for preferences. This approach yields concise, factual output grounded in research-first reasoning.

How do I get concise, evidence-based critique for QA conversations?▼

Get concise, evidence-based critique for QA conversations by applying pattern-based coaching that verifies claims before agreeing. This method immediately challenges pattern violations and proposes specific, actionable improvements.

Can I use pattern enforcement to propose improvements instead of asking for preferences?▼

Yes, you can use pattern enforcement to propose concrete improvements instead of asking for preferences. It enforces a research-first approach to ground responses in evidence, challenge anti-patterns, and deliver concise, literal outputs.

When do I need professional skepticism in Claude outputs?▼

You need professional skepticism in Claude outputs during code reviews, design discussions, and QA conversations. It ensures verification before agreement, immediately challenges anti-patterns, and proposes concrete improvements.

Does this approach require any specific dependencies or components to function?▼

No, this approach requires no specific dependencies or components to function. It operates by enforcing professional skepticism and pattern-based coaching directly within the conversation to verify claims and propose actionable refactors.