Skip to content
TrustedSkillsbeta
Back to all skills

Promql Generator

Checked
akin-ozer·vlatest·devops·Apache-2.0

Generates PromQL queries automatically based on your descriptions, streamlining monitoring and alerting setup.

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 akin-ozer/cc-devops-skills --skill promql-generator -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

akin-ozer

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 akin-ozer/cc-devops-skills at 276af751e6.

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

Commit
276af751e6
Manifest
devops-skills-plugin/skills/promql-generator/SKILL.md
Scanned
9 files, 4,871 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

The promql-generator skill generates PromQL (Prometheus Query Language) queries based on natural language descriptions. It translates requests for metrics and data from time-series databases into executable PromQL statements. This allows users to retrieve specific information about system performance without needing to know the intricacies of PromQL syntax.

When to use it

  • Monitoring System Performance: Generate queries to identify resource bottlenecks or unusual behavior in a Kubernetes cluster.
  • Troubleshooting Application Issues: Quickly create PromQL queries to investigate error rates, latency spikes, and other application-specific metrics.
  • Creating Dashboards: Automate the generation of PromQL expressions for use in Grafana dashboards or other visualization tools.
  • Learning Prometheus: Use it as a tool to understand how natural language requests are translated into PromQL queries.

Key capabilities

  • Generates PromQL queries from natural language input.
  • Supports querying metrics from time-series databases (specifically, Prometheus).
  • Can handle complex query requirements involving aggregations and filtering.

Example prompts

  • "Show me the average CPU usage of all pods in the 'production' namespace."
  • "What is the 95th percentile latency for requests to the API server over the last hour?"
  • "Give me a query that counts the number of errors returned by my web application."

Tips & gotchas

The skill’s effectiveness depends on clear and specific natural language descriptions. Ambiguous prompts may result in inaccurate or incomplete PromQL queries, so be as precise as possible when describing your data needs.