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bias-detector

bias-detector

Detect cognitive and statistical biases — confirmation bias, survivorship bias, sampling issues, and logical fallacies.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: bias-detector display_name: Bias Detector description: Detect cognitive and statistical biases — confirmation bias, survivorship bias, sampling issues, and logical fallacies. category: Research & Analysis platforms: [claude.ai, api] version: 1.0.0 author: Claude Code tags: [bias-detector]

Bias Detector

Overview

Detect cognitive and statistical biases — confirmation bias, survivorship bias, sampling issues, and logical fallacies.

When to Use This Skill

Use Bias Detector when you need to:

  • Work with bias detector tasks in your project or workflow
  • Automate bias detector operations at scale
  • Generate production-quality bias detector output quickly

Instructions

When this skill is active, Claude will:

  1. Understand the full context of your bias detector request
  2. Apply best practices and conventions for Research & Analysis
  3. Produce clean, well-structured, production-ready output
  4. Explain key decisions and offer alternatives where relevant

Examples

Example 1 — Basic Usage

User: Help me get started with bias detector.

Claude: I'll walk you through the essential steps for bias detector in your context...

Example 2 — Advanced Usage

User: I need a production-ready bias detector setup with full error handling.

Claude: Here's a complete, production-hardened bias detector implementation...

Guidelines

  • Always validate inputs before processing
  • Follow the conventions of the target platform or language
  • Prefer explicit over implicit — clarity beats cleverness
  • Include comments for non-obvious logic
  • Suggest tests or validation steps where appropriate

Dependencies

Required: none

Platforms

Available on: claude.ai, api


Part of the claude-skills collection — 183+ skills for Claude.

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