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Setup Timescaledb Hypertables

Checked
timescale·vlatest·database·Apache-2.0

Automates TimescaleDB hypertable creation and configuration for efficient time-series data storage and querying.

Repository

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 setup-timescaledb-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.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned timescale/pg-aiguide at b236d3583f.

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Commit
b236d3583f
Manifest
skills/setup-timescaledb-hypertables/SKILL.md
Scanned
1 file, 451 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill automates the creation and configuration of TimescaleDB hypertables, which are designed for efficient storage and querying of time-series data. It streamlines the process of setting up a hypertable with appropriate partitioning, ordering, and indexing to optimize performance for insert-heavy workloads. The skill facilitates creating tables suitable for storing data that is frequently inserted but rarely modified.

When to use it

This skill is useful in scenarios involving:

  • Storing sensor readings or metrics from devices.
  • Managing event logs, such as user activity or application events.
  • Tracking financial transactions and order records.
  • Handling sequential data with auto-incrementing IDs and timestamps.
  • Building append-only datasets for historical record keeping.

Key capabilities

  • Automates the creation of TimescaleDB hypertables.
  • Configures partitioning based on a time or integer column (e.g., timestamp, event_time).
  • Sets ordering by timestamp, typically in descending order (DESC).
  • Enables columnstore compression for improved performance with insert-heavy data patterns.
  • Allows specifying sparse indexes to optimize query performance.

Example prompts

Here are some example prompts you might give an AI agent using this skill:

  • "Create a TimescaleDB hypertable named 'sensor_data' partitioned by timestamp and ordered by timestamp descending."
  • "Set up a hypertable for event logs, partitioning by the 'created_at' column."
  • “Generate a TimescaleDB hypertable with sparse indexes on value_1, value_2, and value_3.”

Tips & gotchas

  • The partition_column must be a timestamp or integer column that exhibits good temporal/sequential distribution.
  • Columnstore compression is disabled if the table contains vector columns (pgvector).
  • Review the TimescaleDB selection guide for optimal partitioning and ordering strategies based on your specific data patterns.