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Debugging Dags

Checked
necatiarslan·vlatest·testing·Apache-2.0

Automatically identifies and suggests fixes for code errors using detailed dependency analysis and debugging techniques.

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 necatiarslan/airflow-vscode-extension --skill debugging-dags -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

necatiarslan

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.

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  • No pipe-to-shell installers: passed

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

  • Pinned to a commit: passed

    Scanned necatiarslan/airflow-vscode-extension at 1ce1b30c98.

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

Commit
1ce1b30c98
Manifest
skills/debugging-dags/SKILL.md
Scanned
1 file, 62 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 allows you to debug Directed Acyclic Graphs (DAGs) within Apache Airflow. It facilitates stepping through tasks, inspecting variables at runtime, and setting breakpoints directly within your VS Code environment. This enables efficient troubleshooting of complex data pipelines and workflow orchestration.

When to use it

  • You're encountering errors in an Airflow DAG and need to understand the flow of execution.
  • You want to inspect variable values during task execution to identify unexpected behavior.
  • You’re developing new Airflow tasks and require a debugging environment for iterative testing.
  • You are troubleshooting performance issues within your Airflow pipelines.

Key capabilities

  • Stepping through DAG tasks
  • Runtime variable inspection
  • Breakpoint setting within VS Code

Example prompts

  • "Debug this Airflow DAG and step through the 'extract_data' task."
  • "Show me the value of the 'start_date' variable when the 'transform_data' task runs."
  • "Set a breakpoint in the 'load_data' task to inspect its inputs."

Tips & gotchas

This skill requires an Apache Airflow environment and VS Code with the appropriate extensions installed. Ensure your DAGs are properly configured for debugging within VS Code before using this skill.