CtrlK
BlogDocsLog inGet started
Tessl Logo

devops

Comprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.

28

Quality

18%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./devops/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

22%

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

This skill reads as a generic DevOps best-practices checklist rather than actionable guidance. It lacks any concrete code examples, commands, configuration templates, or step-by-step workflows, making it largely redundant with knowledge Claude already possesses. The content would benefit significantly from executable examples, specific workflow sequences with validation steps, and references to detailed supporting files.

Suggestions

Add concrete, executable code examples for each major section (e.g., a complete Bash script with trap/getopts, a sample Ansible playbook with Vault integration, a Helm chart snippet, a CI/CD pipeline YAML).

Define step-by-step workflows with explicit validation checkpoints for key operations like deploying to Kubernetes, running Ansible playbooks, or setting up CI/CD pipelines (e.g., 'lint → dry-run → apply → verify → rollback if failed').

Remove generic advice Claude already knows (PEP 8, DRY, KISS, type hints) and replace with project-specific conventions, tool versions, or patterns unique to the target environment.

Create separate reference files for detailed topics (e.g., KUBERNETES.md, ANSIBLE.md, CICD.md) and link to them from the main skill to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The content is relatively brief and organized into sections, but it reads as a list of general best practices that Claude already knows (e.g., 'Write Pythonic code adhering to PEP 8', 'Follow DRY and KISS principles'). Much of this is common knowledge for an LLM and doesn't add novel, project-specific value.

2 / 3

Actionability

The skill is entirely composed of abstract guidelines and principles with zero concrete code examples, commands, configuration snippets, or executable guidance. Statements like 'Use Helm charts or Kustomize for deployments' and 'Lint scripts with shellcheck' describe rather than instruct.

1 / 3

Workflow Clarity

There are no multi-step workflows, sequences, or validation checkpoints defined anywhere. The content is a flat list of principles with no process ordering, feedback loops, or error recovery steps for any of the complex operations mentioned (deployments, CI/CD pipelines, Ansible playbooks).

1 / 3

Progressive Disclosure

The content is organized into clear topical sections with headers, which provides some structure. However, there are no references to external files, no bundle files, and topics like Kubernetes deployments or Ansible playbook structure could benefit from separate detailed reference documents.

2 / 3

Total

6

/

12

Passed

Description

14%

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

This description is essentially a list of technology buzzwords without concrete actions or trigger guidance. It fails to explain what the skill actually does (write manifests? debug deployments? create pipelines?) and provides no 'Use when...' clause. The overly broad scope covering five major DevOps domains makes it highly prone to conflicts with more focused skills.

Suggestions

Add specific concrete actions the skill performs, e.g., 'Writes Kubernetes manifests and Helm charts, creates CI/CD pipeline configurations, develops Bash scripts and Ansible playbooks, provisions cloud infrastructure.'

Add an explicit 'Use when...' clause with trigger terms, e.g., 'Use when the user asks about deploying to Kubernetes, setting up CI/CD pipelines, writing shell scripts, configuring Ansible automation, or managing cloud infrastructure on AWS/GCP/Azure.'

Include common natural-language variations and abbreviations users would say, such as 'k8s', 'kubectl', 'Helm', 'Docker', 'pipeline', 'shell script', 'terraform', 'deploy', 'container orchestration'.

DimensionReasoningScore

Specificity

The description lists technology domains (Kubernetes, CI/CD, Bash, Ansible, cloud infrastructure) but does not describe any concrete actions. 'Comprehensive DevOps engineering practices' is vague and abstract — it doesn't say what the skill actually does (e.g., write Helm charts, configure pipelines, create playbooks).

1 / 3

Completeness

The description weakly addresses 'what' (just names domains without concrete actions) and completely lacks any 'when' clause or explicit trigger guidance. The absence of a 'Use when...' clause caps this at 2 per the rubric, but the 'what' is also very weak, bringing it to 1.

1 / 3

Trigger Term Quality

It includes some relevant keywords users might say — 'Kubernetes', 'CI/CD', 'Bash scripting', 'Ansible', 'cloud infrastructure' — but misses many natural variations like 'k8s', 'kubectl', 'Helm', 'Docker', 'pipeline', 'deployment', 'terraform', 'AWS', 'GCP', 'Azure', 'shell script', etc.

2 / 3

Distinctiveness Conflict Risk

The scope is extremely broad — covering Kubernetes, CI/CD, Bash, Ansible, and cloud infrastructure all in one skill. This would easily conflict with any skill focused on scripting, cloud services, containers, automation, or infrastructure individually.

1 / 3

Total

5

/

12

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
mindrally/skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.