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Timescaledb

Checked
troykelly·vlatest·database

Timescaledb enables efficient time-series data storage and querying for applications needing historical trend analysis and performance monitoring.

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 troykelly/claude-skills --skill timescaledb -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

troykelly

Taken from the source listing. We haven't verified who controls this account.

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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • 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 troykelly/claude-skills at 38a2ecc528.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
38a2ecc528
Manifest
skills/timescaledb/SKILL.md
Scanned
1 file, 623 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.
What each check looks for →

About this skill

What it does

This skill provides access to TimescaleDB, a time-series database built on PostgreSQL. It allows AI agents to query and analyze large volumes of timestamped data efficiently, perform aggregations over time intervals, and leverage specialized functions for time series analysis. The skill enables complex queries and visualizations that are difficult or impossible with standard relational databases.

When to use it

  • Analyzing sensor data: Process readings from IoT devices or environmental sensors stored in TimescaleDB.
  • Financial modeling: Perform calculations and generate reports based on historical stock prices or transaction data.
  • Monitoring system performance: Track metrics like CPU usage, memory consumption, or network traffic over time to identify trends and anomalies.
  • Building dashboards: Generate visualizations and interactive dashboards displaying time-series data for real-time monitoring.

Key capabilities

  • Querying TimescaleDB databases using SQL.
  • Performing aggregations (e.g., averages, sums) over specified time intervals.
  • Leveraging TimescaleDB's specialized time series functions.
  • Data visualization and reporting.

Example prompts

  • "Show me the average CPU usage for the last 24 hours."
  • "What was the peak temperature recorded yesterday?"
  • "Generate a graph of website traffic over the past week."
  • “Find all transactions greater than $100 that occurred between January and March.”

Tips & gotchas

  • Requires access to a TimescaleDB database. Ensure your AI agent has the necessary credentials and connection details configured.