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nitinjain999/platform-skills

Production-grade platform engineering handbook — Kubernetes, Terraform, Flux CD, GitHub Actions, AWS, and more.

64

Quality

80%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

Quality

Content

57%

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

This skill functions well as a high-level routing and governance document for a large platform engineering skill bundle. Its strengths are excellent progressive disclosure with clear reference file organization and comprehensive slash command coverage. Its weaknesses are the lack of inline executable examples (relying entirely on reference files for concrete code), missing explicit validation/rollback feedback loops in workflows, and some verbosity in the routing tables that could be tightened.

Suggestions

Add at least one concrete, executable example inline (e.g., a minimal Terraform validation pipeline script or a kubectl troubleshooting snippet) so the skill provides immediate value without requiring reference file loading.

Add explicit error recovery steps to the Terraform and Helm validation pipelines (e.g., 'If conftest fails: review policy violations, fix, re-run conftest before proceeding to plan').

Consider consolidating the 'Pick the right tool' table and the 'Pick the Right Reference Files' table — there is significant overlap, and merging them would reduce token usage while maintaining clarity.

DimensionReasoningScore

Conciseness

The skill is largely a routing/index document, which is appropriate for its scope. However, the massive reference file table and slash command list are quite long. The 'Pick the right tool' table has some entries that could be trimmed, and the 'Apply These Platform Rules' section is reasonably efficient but includes some guidance Claude would likely already know (e.g., 'prefer OIDC over static credentials').

2 / 3

Actionability

The 'Apply These Platform Rules' section provides concrete command sequences (e.g., terraform fmt/validate/tflint pipeline, Helm lint pipeline, Linux network debugging layers with specific commands like `ss -tulnp`, `nc -zv`). However, most of the content is routing tables and lists rather than executable guidance. The slash commands provide entry points but no inline code examples or copy-paste-ready snippets.

2 / 3

Workflow Clarity

The Terraform and Helm validation pipelines are well-sequenced with explicit ordering ('enforce in order'), and the Linux networking troubleshooting has a clear layer-by-layer escalation. However, there are no explicit validation checkpoints or feedback loops (e.g., 'if lint fails, do X'). The 'Structure the Response' section provides a clear 5-step output template. Missing error recovery/rollback steps in the main workflows cap this at 2.

2 / 3

Progressive Disclosure

This is an excellent index/routing document. It provides a clear overview with well-organized tables pointing to one-level-deep reference files. The reference file table is comprehensive with clear scope descriptions for each file. Slash commands provide additional entry points. Content is appropriately split between the overview and detailed reference files.

3 / 3

Total

9

/

12

Passed

Description

92%

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 is a strong description that clearly communicates both what the skill does and when to use it, with excellent trigger term coverage across the DevOps/platform engineering domain. Its main weakness is the extremely broad scope, which could cause it to compete with more specialized skills for individual technologies like Terraform, GitHub Actions, or Kubernetes. The description is well-structured and uses appropriate third-person voice.

DimensionReasoningScore

Specificity

The description lists multiple specific concrete actions ('structured diagnosis with blast radius, validation steps, and rollback plan') and enumerates a comprehensive set of specific technologies and domains (Kubernetes, Flux CD, Argo CD, Terraform, GitHub Actions, etc.).

3 / 3

Completeness

Clearly answers both 'what' (structured diagnosis with blast radius, validation steps, rollback plan across listed technologies) and 'when' (explicitly starts with 'Use when troubleshooting, implementing, reviewing, or auditing platform infrastructure as a system'). The 'Use when...' clause is explicit and well-defined.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'Kubernetes', 'GitOps', 'CI/CD', 'Terraform', 'GitHub Actions', 'OIDC', 'SHA pinning', 'supply chain security', 'Cosign', 'SBOM', 'SLSA', 'Falco', 'Chaos Engineering', 'DORA metrics', 'Datadog', 'Dynatrace', 'SOC 2', 'PR review'. These are all terms users would naturally use when seeking help in this domain.

3 / 3

Distinctiveness Conflict Risk

While the description carves out a clear niche around platform infrastructure and DevOps/SRE concerns, the extremely broad scope (Kubernetes, CI/CD, cloud providers, security, observability, compliance, PR review) means it could overlap with more focused skills targeting any one of these individual domains. The breadth increases conflict risk with specialized skills.

2 / 3

Total

11

/

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.

Reviewed

Table of Contents