Skip to content
TrustedSkillsbeta
Back to all skills

Authoring Dags

Checked
necatiarslan·vlatest·backend·Apache-2.0

This skill generates directed acyclic graphs (DAGs) from prompts, streamlining workflow design and process mapping for efficiency.

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 authoring-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.

    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 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/authoring-dags/SKILL.md
Scanned
1 file, 78 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 the creation and editing of Directed Acyclic Graphs (DAGs) within the Airflow environment. It provides features for generating DAG code, validating syntax, and debugging common errors directly within a VS Code extension. The tool streamlines the development process by automating repetitive tasks and offering real-time feedback on DAG structure and logic.

When to use it

  • Creating new Airflow DAGs: Quickly generate boilerplate code for new projects or experiments.
  • Modifying existing DAGs: Easily edit and update existing DAG files within VS Code.
  • Troubleshooting DAG errors: Identify and correct syntax and logical errors in your DAG definitions.
  • Learning Airflow: Provides a structured environment to understand and build upon example DAG structures.

Key capabilities

  • DAG code generation
  • Syntax validation
  • Debugging assistance
  • VS Code extension integration

Example prompts

  • "Generate a basic Airflow DAG with two tasks."
  • "Validate the syntax of my current DAG file."
  • "Show me common errors in this DAG and suggest fixes."

Tips & gotchas

This skill requires a working VS Code environment with the Airflow extension installed. Familiarity with Python and Airflow concepts is recommended for effective use.