bias-detection

Name: bias-detection
Author: ash-lx

Detects likely cognitive biases in product thinking, strategy documents, prompts, research summaries, meeting notes, user statements, and LLM outputs. Use for bias audits, classifying reasoning failures, or identifying the strongest bias candidates with evidence, distinctions, and countermeasures.

0stars

Updated 2 months ago

View on GitHub ↗License: NOASSERTION

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Bias Detection

Use this skill to diagnose likely cognitive biases from text and turn them into practical next steps.

This skill is strongest when the user needs:

a PM-friendly audit of reasoning quality
a critique of model behavior or prompt behavior
a small set of likely biases with clear evidence
help distinguishing between nearby biases that often get confused

Workflow

Start with references/detection-framework.md. Use it for ranking, rejection, overlap handling, and c

[Description truncada. Veja o README completo no GitHub.]

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