AgentStack
SKILL verified MIT Self-run

Astronomer Docs

skill-cogni-ai-ou-cogni-ai-agent-skills-astronomer-docs · by Cogni-AI-OU

Read and navigate Astronomer documentation using llms.txt context. You MUST load this skill when asked to read Astronomer documentation or Airflow documentation hosted by Astronomer.

No reviews yet
0 installs
14 views
0.0% view→install

Install

$ agentstack add skill-cogni-ai-ou-cogni-ai-agent-skills-astronomer-docs

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Astronomer Docs? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Skill: astronomer-docs

Astronomer Docs

When to Use

  • When needing to read or reference Astronomer or Airflow documentation.
  • When searching for Astronomer-specific Airflow deployment, orchestration, or DAG guidelines.
  • When you are prompted to check astronomer.io/docs for information.

When Not to Use

  • When you are writing Airflow DAGs (use apache-airflow-dags instead).
  • When interacting with Airflow APIs (use apache-airflow-api instead).

Core Process

  1. Use llmstxt conventions: Astronomer provides an llms.txt file which is highly optimized for LLMs.
  2. Fetch the context: Utilize the webfetch tool to retrieve the context files.
  3. Primary References:
  • https://www.astronomer.io/llms.txt: The index of all LLM-friendly documentation.
  • https://www.astronomer.io/docs/llms.txt: The index specifically for Astronomer documentation.

Best Practices

  • Always prefer reading from llms.txt over scraping individual HTML pages, as llms.txt paths return markdown optimized for your context window.
  • When looking for specific DAG authoring techniques, use the references in the llms.txt to find the correct .md documentation page.

References

Related Skills

  • apache-airflow-dags:

You MUST load this skill when asked to write, refactor, or structure Airflow DAGs.

  • llmstxt:

You MUST load this skill when reading websites, llms.txt, or when creating/updating that file.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.