failure-library

Identify common failure patterns in AI-generated text.

28|5|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/Deupaxx/EveryDay-Writer --skill failure-library
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: failure-library
Source: https://github.com/Deupaxx/EveryDay-Writer/tree/main/skills/failure-library
Command: npx skills add https://github.com/Deupaxx/EveryDay-Writer --skill failure-library

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The Failure Library Skill provides a comprehensive reference to avoid common pitfalls in AI-generated text, improving the clarity and credibility of your writing.

Core Features & Use Cases

  • AI Writing Analysis: Identifies patterns of failure in AI-generated text.
  • Teaching Tool: Helps writers understand and avoid these pitfalls.
  • Diagnostic Aid: Assists in identifying and correcting issues in written content.
  • Use Case: Use the skill to analyze a piece of text and receive feedback on potential AI-generated errors.

Quick Start

Analyze the text provided for common AI writing failures using the Failure Library skill.

Frequently Asked Questions about failure-library

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

FAQPage Schema
How do I identify AI writing pitfalls in my content?

You identify AI writing pitfalls by analyzing your text against a reference of common failure patterns like significance inflation, ecosystem boilerplate, and superficial analysis to improve clarity.

How can I fix significance inflation and superficial analysis in my writing?

Fix significance inflation and superficial analysis by using a diagnostic reference to identify these AI text failures, helping you understand and remove the errors to enhance content credibility.

Can I use text analysis to detect promotional language in neutral contexts?

Yes, you can use text analysis to detect promotional language in neutral contexts, as well as ecosystem boilerplate and trailing -ing analysis, to correct AI-generated errors in your writing.

Why does my AI text contain trailing -ing analysis and superficial analysis?

AI text contains trailing -ing analysis and superficial analysis due to common language generation pitfalls, which you can identify and correct using a dedicated editorial reference for failure patterns.

What are the limitations of using a failure pattern reference for text analysis?

Limitations of using a failure pattern reference include its basic implementation depth, meaning it provides a foundational diagnostic aid for identifying errors rather than an automated rewriting or deep structural correction tool.