timescaledb
✓MANDATORY when working with time-series data, hypertables, continuous aggregates, or compression - enforces TimescaleDB 2.24.0 best practices including lightning-fast recompression, UUIDv7 continuous aggregates, and Direct Compress
Installation
SKILL.md
TimescaleDB 2.24.0 introduces transformational features: lightning-fast recompression (100x faster updates), Direct Compress integration with continuous aggregates, UUIDv7 support in aggregates, and bloom filter sparse index changes. This skill ensures you leverage these capabilities correctly.
Core principle: Time-series data has unique access patterns. Design for append-heavy, time-range queries from the start.
Announce at start: "I'm applying timescaledb to ensure TimescaleDB 2.24.0 best practices."
MANDATORY when working with time-series data, hypertables, continuous aggregates, or compression - enforces TimescaleDB 2.24.0 best practices including lightning-fast recompression, UUIDv7 continuous aggregates, and Direct Compress Source: troykelly/claude-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/troykelly/claude-skills --skill timescaledb- Source
- troykelly/claude-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is timescaledb?
MANDATORY when working with time-series data, hypertables, continuous aggregates, or compression - enforces TimescaleDB 2.24.0 best practices including lightning-fast recompression, UUIDv7 continuous aggregates, and Direct Compress Source: troykelly/claude-skills.
How do I install timescaledb?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/troykelly/claude-skills --skill timescaledb Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/troykelly/claude-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01