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Troubleshooting Astro Deployments

Checked
astronomer·vlatest·frontend·Apache-2.0

Diagnoses and resolves issues preventing successful deployment of astronomical data pipelines to frontend systems.

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 astronomer/agents --skill troubleshooting-astro-deployments -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

astronomer

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 astronomer/agents at cbe1141f54.

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

Commit
cbe1141f54
Manifest
skills/troubleshooting-astro-deployments/SKILL.md
Scanned
1 file, 290 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 enables AI agents to diagnose and resolve issues preventing successful deployment of astronomical data pipelines to frontend systems. It focuses specifically on troubleshooting problems encountered during the deployment process, helping ensure that these pipelines function correctly in a production environment. The skill’s functionality is geared towards resolving errors and ensuring smooth deployments for users working with astronomical datasets.

When to use it

  • When Astro deployments are failing or producing unexpected results.
  • To identify the root cause of errors during frontend deployment processes involving astronomical data pipelines.
  • For debugging issues that prevent astronomical data from being displayed correctly on a frontend system.
  • When needing assistance in resolving deployment-related problems within an astronomical data workflow.

Key capabilities

  • Diagnoses and resolves deployment issues for Astro applications.
  • Focuses on frontend systems used to display astronomical data pipelines.
  • Identifies root causes of errors during the deployment process.

Example prompts

  • "My Astro deployment is failing; can you help me troubleshoot it?"
  • "I'm seeing errors when deploying my astronomical data pipeline – what could be causing them?"
  • "The frontend isn’t displaying the data correctly after deployment, what should I check?"

Tips & gotchas

  • Due to the lack of a SKILL.md file, specific limitations and prerequisites are currently unknown.
  • This skill is designed for troubleshooting Astro deployments specifically; it may not be applicable to other deployment frameworks.