Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.

Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or...

Use when you need to empirically test whether hypothesized symmetries actually hold in your data or model. Invoke when user mentions testing invariance, validating equivariance, checking if...

Enterprise context and session management with token budget optimization and state persistence

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Analyze UI/UX design from screenshots. Use this Skill when the user asks to analyze UI design, review interface screenshots, check design quality, evaluate user experience, or get design...

Intelligent document audit system for syntax and semantic verification, legal or technical document compliance review using LLM (exclusive .docx support).

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Generate lorem ipsum placeholder text. This skill should be used when users ask to generate lorem ipsum content, placeholder text, dummy text, or filler text. Supports various structures including...

Generate lorem ipsum placeholder text. This skill should be used when users ask to generate lorem ipsum content, placeholder text, dummy text, or filler text. Supports various structures including...

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate...

Design and analyze A/B tests, calculate statistical significance, and determine sample sizes for conversion optimization and experiment validation

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability

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Generate or update CLAUDE.md/AGENTS.md files for AI coding agents through auto-scanning project files combined with interactive Q&A. Supports multiple tech stacks, development environments, and...