Data & Analysis skills.
Skills for scientific computing, data analysis, statistics, and structured reasoning over data.
Scientific Computing
Bundle of scientific computing skills: numerical methods, statistics, plotting with matplotlib, scientific Python (numpy, scipy, pandas). Use when the user is doing research, analysis, or simulation.
LLM Prompt Engineering
Design and iterate on prompts and prompt templates with structured testing. Use when the user is shipping a feature that depends on LLM behaviour and needs reliable outputs.
SEO Audit
Run a thorough technical SEO audit on a website: meta titles, descriptions, canonicals, sitemap, structured data, internal linking, Core Web Vitals. Use when the user wants to improve organic traffic.
CSV Wrangler
Clean, reshape and analyse CSV files at speed. Use when the user pastes or attaches a CSV and wants to filter, pivot, join, or compute over it.
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