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From claude-data-analyst
Detect and compute correlations between numeric variables in a dataset. Use when the user wants to see how variables in a CSV/Parquet/Excel file move together — Pearson, Spearman, or Kendall — with a short report flagging the strongest positive and negative pairs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claude-data-analyst:correlation-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Produce a first-pass correlation report for a dataset in a folder.
Produce a first-pass correlation report for a dataset in a folder.
pearson default, spearman for non-linear/ranked, kendall for small-n or many ties).duckdb — fastest way to load mixed formats and run CORR(x, y) in SQL.uv run --with pandas --with scipy python -c '...' — for Spearman/Kendall and heatmap export.csvstat (csvkit) — quick column types and null counts before correlating.Write a markdown report next to the dataset (<dataset>-correlations.md) with:
If a --target was given, lead with a ranked list of predictors of that target.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin claude-data-analyst