timescaledb
Description
TimescaleDB - PostgreSQL extension for high-performance time-series analytics.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
name
timescaledb
description
TimescaleDB - PostgreSQL extension for high-performance time-series and event data analytics, hypertables, continuous aggregates, compression, and real-time analytics
Tags
About timescaledb
timescaledb is an AI skill in the database category, designed to help developers and users work more effectively with AI tools. TimescaleDB - PostgreSQL extension for high-performance time-series analytics.
This skill has earned 1,000 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use timescaledb
Adding timescaledb to your AI workflow can significantly enhance your productivity in database tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
Explore More database Skills
Discover more AI skills in the database category to build a comprehensive AI skill stack.
Related Skills
sql-optimization-patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis.
database-migration
Execute database migrations with zero-downtime strategies and rollback procedures.
postgresql-table-design
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints.
postgres-schema-design
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints.
analyzing-query-performance
Query performance analysis with comprehensive guidance and automation.