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Migrate Postgres Tables To Hypertables

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timescale·vlatest·database·Apache-2.0

Helps with migration, PostgreSQL as part of working with databases and data persistence workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add timescale/pg-aiguide --skill migrate-postgres-tables-to-hypertables -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

timescale

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

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    Scanned timescale/pg-aiguide at b236d3583f.

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Scanned
1 file, 430 lines
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About this skill

What it does

This skill automates the conversion of standard PostgreSQL tables into TimescaleDB hypertables. It handles the necessary schema modifications to enable time-series optimizations without requiring manual SQL execution or downtime.

When to use it

  • You have existing PostgreSQL tables storing time-series data that are becoming slow as they grow.
  • Your application needs efficient range queries based on timestamps and automatic data retention policies.
  • You want to upgrade your database performance with minimal operational overhead and zero code changes to your application logic.
  • You need to leverage TimescaleDB's compression features to reduce storage costs for historical data.

Key capabilities

  • Automatically detects time columns in existing PostgreSQL tables.
  • Applies hypertable partitioning based on the specified time column.
  • Preserves all existing data and indexes during migration.
  • Enables native support for continuous aggregates and chunk management.

Example prompts

  • "Migrate my sensor_readings table to a hypertable using the created_at timestamp."
  • "Convert all tables in the iot_data schema to hypertables optimized for daily time ranges."
  • "Upgrade my legacy PostgreSQL database to TimescaleDB by converting the main event log table."

Tips & gotchas

  • Ensure your target column is of a compatible data type (e.g., timestamp, date, or integer representing time) before running the migration.
  • While the process is automated, verify that the resulting hypertable behaves as expected in your specific query workload after conversion.