| 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:
- Understand the full context of your bias detector request
- Apply best practices and conventions for Research & Analysis
- Produce clean, well-structured, production-ready output
- 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.
