Is this skill part of the Fabric ecosystem?

Yes, this skill is a port of the 'analyze_mistakes' pattern from Daniel Miessler's Fabric project, optimized for use within the Claude Code environment.

What does the analyze-mistakes skill do?

It analyzes your past mistakes and current beliefs to find patterns in how you think, helping you identify and correct potential errors in your current predictions.

What information should I provide to this skill?

For optimal results, provide historical examples of things you thought were true but were proven wrong, along with your current predictions or project assumptions.

How can this skill help with software development?

It helps developers recognize repetitive patterns in technical decision-making, such as consistently underestimating task complexity or over-committing to specific frameworks.

Cognitive Pattern & Mistake Analysis

Name: Cognitive Pattern & Mistake Analysis
Author: bdmorin

bybdmorin

•

데이터 과학 및 ML

Analyzes historical thinking patterns and past errors to identify potential biases and improve the accuracy of current predictions.

The analyze-mistakes skill acts as a high-level cognitive auditor for your decision-making process. By providing examples of past beliefs that proved incorrect alongside current predictions, this skill maps your thought patterns in a high-dimensional space to identify recurring mental traps. It is designed to help developers, architects, and project managers recognize their personal cognitive biases, allowing for more grounded technical estimations and strategic decisions. It provides structured feedback on where current logic may be failing based on historical trends, offering specific recommendations to adjust your confidence levels or project outlooks.

주요 기능

01Structured Markdown reports for past and current belief analysis

02Identification of recurring mental traps and logical fallacies

03Quantified adjustment recommendations for risk assessment

041 GitHub stars

05Predictive error detection for current technical assumptions

06High-dimensional mapping of cognitive thought patterns

사용 사례

01Refining software project timeline estimations by identifying past optimistic biases

02Stress-testing architectural decisions to uncover technology-specific favoritism

03Auditing technical strategy and business predictions for recurring systemic errors

주요 기능

01Structured Markdown reports for past and current belief analysis

02Identification of recurring mental traps and logical fallacies

03Quantified adjustment recommendations for risk assessment

041 GitHub stars

05Predictive error detection for current technical assumptions

06High-dimensional mapping of cognitive thought patterns

사용 사례

01Refining software project timeline estimations by identifying past optimistic biases

02Stress-testing architectural decisions to uncover technology-specific favoritism

03Auditing technical strategy and business predictions for recurring systemic errors