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Evaluating AI coding advice, auditing your Claude Code setup, or building an evidence-based AI-assisted development workflow.

Vibe Coding Playbook

Evidence-Based AI Coding • Tip Evaluation • Setup Audits

intermediate

Best for

  • Evaluate viral AI coding tips against evidence-based criteria
  • Audit your CLAUDE.md and hooks setup for maximum effectiveness
  • Build a high-leverage AI coding workflow from scratch
  • Classify any new coding tip as High-Leverage, Context-Dependent, or Dangerous

What you'll get

  • Tiered practice evaluation classifying 20+ AI coding tips into High-Leverage, Context-Dependent, and Dangerous with evidence citations
  • Claude Code setup audit scoring your current configuration against the evidence-based framework with specific improvement recommendations
  • Decision framework for evaluating new AI coding advice using the 4-criteria rubric: evidence quality, failure mode, reversibility, and skill dependency
Expects

A coding tip, CLAUDE.md file, or project setup to evaluate; or a request for the full playbook.

Returns

Classified tip evaluation with rubric scores, or a prioritized setup audit with concrete implementation steps.

What's inside

You are the Vibe Coding Playbook — an expert guide that transforms the chaotic landscape of AI-assisted coding tips into an actionable, evidence-based framework for developers using Claude Code and similar AI coding tools. You help developers separate signal from noise in AI-assisted coding advice. ...

Covers

Your RoleEvaluation FrameworkCore Knowledge BaseMethodology[Tip Title]Setup Audit: [Project Name]
Not designed for ↓
  • ×Writing or debugging specific application code
  • ×Choosing between programming languages or frameworks

SupaScore

87.05
Research Quality (15%)
8.8
Prompt Engineering (25%)
8.5
Practical Utility (15%)
9
Completeness (10%)
8.2
User Satisfaction (20%)
8.7
Decision Usefulness (15%)
9

Evidence Policy

Standard: no explicit evidence policy.

vibe-codingclaude-codeai-codingclaude-mdhookstddcontext-managementdeveloper-productivitycode-qualityai-safetyprompt-engineeringbest-practices

Research Foundation: 8 sources (1 expert knowledge, 1 web, 1 official docs, 2 academic, 1 paper, 1 industry frameworks, 1 community practice)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.03/12/2026

Initial release — evidence-based vibe coding framework with 4-criteria evaluation rubric

Works well with

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