Can this skill help with software development decisions?

Yes. It is highly effective for auditing technical proposals, architectural justifications, and incident reports where 'hindsight coherence' might lead to incorrect conclusions about root causes.

Does this skill work with non-English text?

Yes, it specifically includes patterns and scenarios for analyzing reasoning provided in Korean, as well as English.

When should I use Fallacy Detector instead of Bias Auditor?

Use Fallacy Detector to check the structural validity of an argument or story. Use Bias Auditor to investigate the underlying cognitive prejudices or psychological 'whys' behind someone's reasoning.

What is the difference between a logical fallacy and a narrative fallacy?

A logical fallacy is a structural error in an argument's reasoning, like a false dichotomy. A narrative fallacy is the tendency to turn complex, random events into a cohesive, simplified story that ignores systemic forces or counterfactuals.

Logical Fallacy Detector

Name: Logical Fallacy Detector
Author: newkayak12

bynewkayak12

0•

Productivity & Workflow

Identifies structural flaws and narrative inconsistencies in arguments and explanatory stories to ensure sound reasoning.

The Logical Fallacy Detector is a specialized Claude Code skill designed to audit reasoning and storytelling for logical gaps and structural weaknesses. It systematically scans for common logical fallacies—such as false dichotomies, slippery slopes, and circular reasoning—while performing a dedicated analysis of narrative fallacies where complex events are oversimplified into tidy, inevitable stories. By separating factual evidence from rhetorical construction, this skill helps users evaluate business proposals, debate points, or project post-mortems to ensure conclusions are based on solid logic rather than hindsight bias or character-driven causation.

Key Features

010 GitHub stars

02Contextual explanations of how specific fallacies undermine a conclusion

03Core issue identification to pinpoint the most damaging logical errors

04Multi-lingual support for logical analysis in both English and Korean

05Systematic scanning for structural, social, and causal logical fallacies

06Dedicated narrative fallacy assessment to detect oversimplified story arcs

Use Cases

01Auditing persuasive writing or debate arguments for rhetorical manipulation and structural flaws

02Analyzing a project post-mortem to ensure complex failures aren't reduced to a single-cause story

03Validating the core logic of a business proposal before committing resources

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add newkayak12/claude-skills fallacy-detector

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Contextual explanations of how specific fallacies undermine a conclusion

03Core issue identification to pinpoint the most damaging logical errors

04Multi-lingual support for logical analysis in both English and Korean

05Systematic scanning for structural, social, and causal logical fallacies

06Dedicated narrative fallacy assessment to detect oversimplified story arcs

Use Cases

01Auditing persuasive writing or debate arguments for rhetorical manipulation and structural flaws

02Analyzing a project post-mortem to ensure complex failures aren't reduced to a single-cause story

03Validating the core logic of a business proposal before committing resources