SQLite Data Analysis & Management

About

The Using-SQLite skill provides a structured framework for interacting with SQLite databases during DataPeeker analysis sessions. It moves beyond basic SQL by offering task-oriented patterns for exploring unfamiliar schemas, formatting CLI output for maximum readability, and implementing SQLite-specific idioms like STRFTIME for date handling. Designed to prevent common pitfalls like integer division errors or silent import failures, it includes robust verification steps and performance optimization techniques using EXPLAIN QUERY PLAN to ensure analysis is both accurate and efficient.

Key Features

• Structured CSV-to-SQLite import workflows with data verification
• Standardized patterns for CLI invocation and multi-command scripts
• Comprehensive schema exploration and table structure discovery
• CLI output formatting for readability (column, CSV, JSON, and markdown modes)
• SQLite-specific query optimization and performance analysis
• 2 GitHub stars

Use Cases

• Exploring and profiling unfamiliar datasets in local SQLite databases
• Loading and verifying large CSV files for structured analytical workflows
• Optimizing slow-running analytical queries through indexing and plan analysis