Timescaledb

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by tukuaiai · vlatest · Repository

Timescaledb enables efficient time-series data storage and querying, ideal for applications like monitoring and IoT analytics.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add tukuaiai-timescaledb npx -- -y @trustedskills/tukuaiai-timescaledb
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "tukuaiai-timescaledb": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/tukuaiai-timescaledb"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides access to TimeScaleDB functionality within an AI agent. It allows you to interact with and query TimeScaleDB databases, enabling time-series data analysis and management directly through natural language prompts. The skill supports common database operations like creating tables, inserting data, and running complex queries.

When to use it

  • Analyzing sensor data: You have a TimeScaleDB database storing readings from IoT sensors and want the AI agent to identify trends or anomalies.
  • Financial time series analysis: You need to query historical stock prices stored in TimeScaleDB to perform calculations or generate reports.
  • Managing event logs: Your application stores events in TimeScaleDB, and you require the AI agent to extract specific information from these logs based on natural language requests.
  • Building dashboards: You want an AI agent to automatically query data from a TimeScaleDB database and format it for display in a dashboard.

Key capabilities

  • Database interaction (create, read, update, delete)
  • Time-series data querying
  • Data analysis functions
  • Table creation

Example prompts

  • "Create a table called 'temperature_readings' with columns for timestamp and temperature."
  • "What was the average temperature recorded yesterday?"
  • "Insert a new reading into the 'cpu_usage' table: timestamp=now(), value=75.2"

Tips & gotchas

  • Ensure your AI agent has appropriate credentials to access the TimeScaleDB database.
  • TimeScaleDB is optimized for time-series data; complex queries might require understanding of its specific functions and syntax.

Tags

🛡️

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Details

Version
vlatest
License
Author
tukuaiai
Installs
11

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Passed automated security scans.