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 4 months ago

View on GitHub ↗License: NOASSERTION

How to add

/plugin marketplace add ash-lx/bias-detection-skill

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/bias-detection/svg)](https://www.skillteca.com.br/skills/bias-detection?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#llm #ai

Related skills

See all in Pesquisa e Web →

understand-dashboard

64.4k1

Launch the interactive web dashboard to visualize a codebase's knowledge graph.

Pesquisa e Webby Lum1104

understand-chat

64.4k

Use when you need to ask questions about a codebase or understand code using a knowledge graph.

Pesquisa e Webby Lum1104

understand-domain

64.4k

Extract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an existing /understand knowledge graph.

Pesquisa e Web#aiby Lum1104

dev-browser

63k

Automates browser interactions with persistent page state. Use for navigating websites, filling forms, taking screenshots, extracting web data, testing web apps, or automating browser workflows.

Pesquisa e Web#testby code-yeongyu

Category alert

Get new Pesquisa e Web skills every Monday

One short email with only the new Pesquisa e Web skills. 4 minutes of reading, no spam, unsubscribe with one click.

You confirm your email on the first send. No spam. Unsubscribe with one click.

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.]

ShareX LinkedIn

Comments · No comments

No comments yet. Be the first.