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Install
$ agentstack add skill-cogni-ai-ou-cogni-ai-agent-skills-astronomer-docs ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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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/docsfor information.
When Not to Use
- When you are writing Airflow DAGs (use
apache-airflow-dagsinstead). - When interacting with Airflow APIs (use
apache-airflow-apiinstead).
Core Process
- Use
llmstxtconventions: Astronomer provides anllms.txtfile which is highly optimized for LLMs. - Fetch the context: Utilize the
webfetchtool to retrieve the context files. - 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.txtover scraping individual HTML pages, asllms.txtpaths return markdown optimized for your context window. - When looking for specific DAG authoring techniques, use the references in the
llms.txtto find the correct.mddocumentation 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.
- Author: Cogni-AI-OU
- Source: Cogni-AI-OU/cogni-ai-agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.