devops-infrastructure

Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.

Quality

82%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

65%

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

Highly actionable with abundant executable code, but the body is a monolithic ~450-line reference that explains concepts Claude already knows and keeps all detail inline without offloading to bundle files. The workflow checklist also lacks explicit validation checkpoints for risky operations.

Suggestions

Split each major area (Docker, CI/CD, deployment strategies, Terraform, monitoring) into reference files under references/ and keep SKILL.md a concise overview with one-level-deep links.

Trim definitional content Claude already knows (e.g., what metrics/logs/traces are, blue-green vs canary explanations) down to the actionable rules and code.

Add explicit validation/verification checkpoints to the DevOps Workflow checklist (e.g., "Validate Dockerfile with `docker build` + image scan before marking Step 1 done") so risky steps have feedback loops.

Dimension	Reasoning	Score
Conciseness	Mostly efficient code/tables, but ~450 lines include explanations Claude already knows ("METRICS: Numeric measurements over time", RED/USE methods, blue-green/canary definitions) that could be trimmed.	2 / 3
Actionability	Provides fully executable, copy-paste-ready examples throughout — Dockerfiles, GitHub Actions YAML, Terraform HCL, a TypeScript health endpoint, and docker-compose — with specific concrete commands.	3 / 3
Workflow Clarity	The DevOps Workflow checklist lists 7 steps but lacks validation checkpoints between risky/destructive steps (deployments, infra changes), so the sequence is present yet checkpoints are missing.	2 / 3
Progressive Disclosure	Well-organized sections, but ~450 lines are entirely inline in one SKILL.md with no bundle files; Docker/CI/CD/Terraform/monitoring material that should live in separate references is inlined.	2 / 3
	Total	9 / 12 Passed

Description

100%

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

A well-crafted description in third person that names concrete capabilities and provides explicit "Use when" triggers with natural user vocabulary. It cleanly answers both what the skill does and when to invoke it.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions and domains — "Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup" — rather than vague language.	3 / 3
Completeness	Clearly answers both what ("Guides Docker, CI/CD pipelines...") and when via an explicit "Use when..." clause with concrete triggers.	3 / 3
Trigger Term Quality	Covers natural terms users would say — "writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, ... containers, pipelines, Terraform, or production infrastructure" — with strong coverage and common variations.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear DevOps/infrastructure niche with distinct triggers (Dockerfiles, GitHub Actions, Terraform, production infrastructure), making conflict with other skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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: CloudAI-X/claude-workflow-v2
Path: skills/devops-infrastructure/SKILL.md
Commit: 4c242af

Reviewed: about 16 hours ago

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