advanced-prompting

Critique and verify AI outputs through structured challenge, verification, and reset prompts.

35|2|Updated Jan 12, 2026
One-click install
npx skills add https://github.com/spences10/claude-code-toolkit --skill advanced-prompting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: advanced-prompting
Source: https://github.com/spences10/claude-code-toolkit/tree/main/plugins/claude-workflow/skills/advanced-prompting
Command: npx skills add https://github.com/spences10/claude-code-toolkit --skill advanced-prompting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a structured approach to prompt design that forces adversarial critique, demand evidence, and enable iterated improvements of Claude's outputs.

Core Features & Use Cases

  • Challenge Prompts: Push Claude to question assumptions and surface edge cases.
  • Verification Prompts: Require output demonstrations, diffs, and line-by-line walkthroughs.
  • Reset Prompts: Exit suboptimal paths and explore simpler, cleaner solutions.
  • When to Use: Use during code reviews, design discussions, and iterative AI-assisted work.
  • Anti-Patterns: Avoid relying on vague promises or skipping validation.

Quick Start

Start by issuing a Challenge prompt to critique a solution, then request Verification prompts to gather evidence, and finally apply a Reset prompt if you need a fresh approach.

Frequently Asked Questions about advanced-prompting

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

FAQPage Schema
How do I force Claude to critique its own code review suggestions?

Adversarial critique prompts force Claude to question its assumptions and surface edge cases during code review. You issue Challenge prompts to push the AI to validate its logic, followed by Verification prompts to demand evidence and line-by-line walkthroughs of the output.

What is the best way to verify AI-assisted code generation outputs?

Verification prompts verify AI-assisted code generation by requiring output demonstrations, diffs, and line-by-line walkthroughs. This structured prompt engineering approach ensures the AI provides concrete evidence rather than vague promises when generating software engineering solutions.

How do I reset an AI workflow that is stuck on a suboptimal code path?

Reset prompts reset an AI workflow that is stuck on a suboptimal code path by instructing Claude to exit the current trajectory and explore simpler, cleaner solutions. This prompt pattern is applied when iterative work hits a dead end.

When should I use adversarial review prompts in software engineering?

Use adversarial review prompts in software engineering during code reviews, design discussions, and iterative AI-assisted workflows. They are applied when AI outputs must be critiqued, validated with evidence, and iterated to ensure robust prompt engineering.

What are the limitations of relying on basic prompts for AI code generation?

Relying on basic prompts for AI code generation leads to outputs based on vague promises and skipped validation. Without structured prompt patterns like Challenge, Verification, and Reset, the AI may miss edge cases and fail to provide rigorous evidence for software engineering solutions.