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deploying-airflow

Deploys Airflow DAGs and projects. Use when deploying Airflow or answering anything about deployment - deploying DAGs/projects, pushing code, setting up CI/CD, deploying to production or deployment strategies for Airflow.

85

1.36x
Quality

82%

Does it follow best practices?

Impact

97%

1.36x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable, well-sectioned deployment guide covering all three major deployment paths with executable commands. Its weaknesses are the absence of explicit post-deploy validation checkpoints and duplicated/inline configuration content that inflates token usage.

Suggestions

Add explicit validation checkpoints after each deploy path, e.g. 'After helm install, run kubectl get pods -n airflow and wait until all pods are Ready before proceeding' and an equivalent deploy-status check after astro deploy.

Deduplicate the rebuild instructions (repeated in Common Operations and Installing Python Packages) and trim the Environment Variables section that restates settings already present in the compose example.

Move the full docker-compose.yaml and values.yaml blocks into a references/ file (e.g. references/compose-minimal.yaml and references/helm-values.yaml) and keep only the key settings inline to reduce SKILL.md token cost.

DimensionReasoningScore

Conciseness

The body is mostly command-dense, but the ~75-line docker-compose.yaml and ~90-line values.yaml are inline reference material, the Environment Variables section and the package-install rebuild instructions duplicate content already shown, and the GitHub Integration section is descriptive rather than actionable. It fits 'mostly efficient but could be tightened' better than the leaner 4 anchor.

3 / 5

Actionability

Copy-paste-ready guidance throughout: astro deploy with all flag variants, the curl command for the official compose file, a complete minimal docker-compose.yaml, helm install/upgrade commands with values, and kubectl operations. Specific examples cover the common deploy cases.

5 / 5

Workflow Clarity

"Choosing a path" gives clear routing between Astro, Compose, and Helm, but deployment is a batch/production operation and there are no explicit validation checkpoints — kubectl get pods appears as a 'useful command' rather than a sequenced verify-after-deploy step, and there is no deploy-status check after astro deploy or helm install. Per the rubric cap, this cannot score above 3.

3 / 5

Progressive Disclosure

Good structure: clear per-scenario sections, one clearly signaled external reference (Astro deploy docs), and a Related Skills section. The large config blocks arguably belong in separate reference files, which is a minor organization gap rather than the inline-bloat of the 3 anchor.

4 / 5

Total

15

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

Strong description with an explicit 'Use when' clause, concrete trigger phrases, third-person voice, and a distinct Airflow-deployment niche. Keyword coverage and the brevity of the 'what' clause leave only minor room for improvement.

DimensionReasoningScore

Specificity

The description lists several concrete actions ("Deploys Airflow DAGs and projects", "pushing code, setting up CI/CD, deploying to production") with only minor gaps in coverage — the core 'what' clause itself is briefer than a comprehensive 5-level enumeration would be.

4 / 5

Completeness

It explicitly answers both what ("Deploys Airflow DAGs and projects") and when ("Use when deploying Airflow or answering anything about deployment - deploying DAGs/projects, pushing code, setting up CI/CD...") with concrete trigger phrases, matching the 5 anchor.

5 / 5

Trigger Term Quality

Good coverage of natural phrases users would say ("deploying DAGs/projects", "pushing code", "setting up CI/CD", "deploying to production"), but a few common variations like "rolling out", "releasing", or "shipping" DAGs are missing, keeping it just below the comprehensive 5 anchor.

4 / 5

Distinctiveness Conflict Risk

A clear Airflow-deployment niche with distinct triggers (production deploys, CI/CD) that do not overlap with sibling skills like project setup, local dev, DAG authoring, or DAG testing; it is written in third person ("Deploys").

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

astronomer/agents

Path

skills/deploying-airflow/SKILL.md

Reviewed

Table of Contents

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