TimescaleDB Reference Guide

What it does

This skill gives an AI agent a folder of reference notes about TimescaleDB, a PostgreSQL extension for storing and analysing time-stamped data such as metrics, logs and events. Once installed, the agent can consult these notes (index, performance, time buckets, tutorials and more) and a handful of example snippets when you ask about hypertables, continuous aggregates, compression or time-based queries. The SKILL.md file is largely a template: the quick-reference patterns are placeholders and the examples include unrelated items such as a Rails command and a Kubernetes namespace.

Try asking

• “How do I create a hypertable from an existing PostgreSQL table in TimescaleDB?”Copy
• “Show me how to use time_bucket to aggregate sensor readings by hour”Copy
• “What performance settings should I check for a TimescaleDB instance with heavy inserts?”Copy
• “Walk me through the TimescaleDB tutorial for setting up continuous aggregates”Copy

Get better results

• Ask for a specific feature (for example time_buckets or compression) so the agent reads the matching reference file rather than guessing
• Verify any SQL or configuration against the official TimescaleDB documentation before running it on real data
• Note that the skill's SKILL.md says it was auto-generated and its scripts/ and assets/ folders are empty placeholders

What's inside

• references/index.md
• references/llms.md
• references/performance.md
• references/time_buckets.md
• references/tutorials.md
• SKILL.md