make-no-mistakes

Append a "MAKE NO MISTAKES." directive to prompts for verified responses.

10|6|Updated Dec 2, 2025
One-click install
npx skills add https://github.com/WarLikeLaux/yii2-book-catalog --skill make-no-mistakes-warlikelaux
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: make-no-mistakes
Source: https://github.com/WarLikeLaux/yii2-book-catalog/tree/main/.claude/skills/make-no-mistakes
Command: npx skills add https://github.com/WarLikeLaux/yii2-book-catalog --skill make-no-mistakes-warlikelaux

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for absolute certainty and error avoidance in AI responses, ensuring maximum precision and reliability.

Core Features & Use Cases

  • Enhanced Accuracy: Forces the AI to double-check facts, calculations, code, and logic.
  • Doubt Declaration: Prompts the AI to state uncertainty rather than guessing.
  • Prioritizes Verification: Encourages spending extra time on checks for factual accuracy and computational correctness.
  • Use Case: When asking for complex code generation or critical financial calculations, this skill ensures the AI performs rigorous self-checks before providing an answer.

Quick Start

Use the make-no-mistakes skill to answer the question about the capital of Australia.

Frequently Asked Questions about make-no-mistakes

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

FAQPage Schema
How do I prevent AI hallucinations and ensure factual accuracy in generated responses?

To prevent AI hallucinations and ensure factual accuracy, you can use a verification skill that appends a strict directive to your prompt, forcing the AI to double-check facts, calculations, and logic while declaring any uncertainty instead of guessing.

What is the best way to force an AI to double-check complex code logic before outputting?

The best way to force an AI to double-check complex code logic is by applying a precision-focused prompt directive that mandates rigorous self-checks and logical validation prior to generation, preventing guesswork in software engineering tasks.

How can I make an AI state uncertainty rather than guessing on critical financial calculations?

You can make an AI state uncertainty rather than guessing on critical financial calculations by using an error prevention skill that prioritizes verification and explicitly instructs the AI to declare doubt when it cannot guarantee computational correctness.

Does appending a strict accuracy directive to prompts actually improve AI output reliability?

Appending a strict accuracy directive to prompts does improve AI output reliability by mandating extra time for factual verification and computational checks, which actively prevents the generation of unverified or logically flawed information.

When do I need to use an error prevention skill for AI text generation?

You need to use an error prevention skill for AI text generation when your scenario demands extreme caution, such as complex code generation, critical financial calculations, or any task requiring absolute certainty and logical validation to avoid costly mistakes.

What are the limitations of using prompt directives for AI factual verification?

A limitation of using prompt directives for AI factual verification is that the skill relies solely on the AI's internal self-checking mechanism, meaning it cannot access external databases to validate facts but only enforces a stricter generation standard.