data-wrangler

Description

Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the user wants to: (1) Clean, filter, or transform data, (2) Join multiple data sources, (3) Convert between formats (CSV→Parquet, etc.), (4) Create partitioned datasets, (5) Sample large datasets, (6) Export query results. Prefer this over in-context reasoning for datasets with thousands of rows or complex transformations.

Tool Access

Full access

Inherits all available tools

Supporting Files

4 files

Additional assets for this skill

Tool Access

This skill inherits all available tools. When active, it can use any tool Claude has access to.

Supporting Assets

SECRETS.md

TRANSFORMS.md

examples/secrets.yaml

scripts/query_duckdb.py

Links

GitHub Stats

0 forks

Updated 1 day ago

Related Skills

payload

39.4K

Use when working with Payload CMS projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.

From payload

postgresql-table-design

22.8K

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

From database-design

auth-implementation-patterns

22.8K

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

From developer-essentials