Skill UI

Enables Claude to analyze historical time series patterns, select the best forecasting model, and predict future values with confidence intervals for sales, traffic, or other time-dependent metrics.

Master comprehensive strategies for evaluating Large Language Model (LLM) applications. This skill covers automated metrics (BLEU, ROUGE, BERTScore), structured human evaluation dimensions, and advanced LLM-as-Judge techniques. Use it to systematically measure model performance, compare prompts, detect regressions, and build confidence in production systems.

Retrieve AlphaFold’s AI-predicted protein models via UniProt IDs, download CIF/PDB coordinates, inspect confidence metrics, and feed them into structural analysis or drug-discovery pipelines.

This skill helps executives prepare for adversarial board meetings, investor updates, and fundraising pitches. It focuses on memorizing key financial metrics, anticipating difficult questions, and crafting honest narratives that admit weaknesses while maintaining confidence. Includes frameworks for stress-testing numbers, simulating board interactions, and tailoring communication for specific directors.

Analyze Ahrefs data for SEO metrics including domain rating, backlinks, organic keywords, and content explorer results. Provides live data with confidence weighting and cost guardrails for batch operations.

A comprehensive 7-section report providing a deep assessment of a repository's health and readiness level. It calculates key metrics including risk score, agent topology recommendations, MCP surface area, test confidence, and publish readiness. This tool is vital for pre-mint reviews, detecting architectural drift, and enforcing strict CI/CD quality gates.

A comprehensive guide for researchers developing systems or algorithms, detailing the necessary level of evidence required for performance claims (e.g., bounds, real-world performance, learning guarantees). It emphasizes scientific rigor, statistical reporting (confidence intervals), assumption testing, and data provenance to ensure findings are robust and reproducible in academic settings.

Access AlphaFold's 200M+ AI-predicted protein structures via UniProt IDs and APIs, download PDB/mmCIF files, and analyze pLDDT/PAE confidence metrics for structural biology and drug discovery.