deploying-cloud-k8s
Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) with CI/CD pipelines.Use when deploying to production, setting up GitHub Actions, troubleshooting deployments.Covers build-time vs runtime vars, architecture matching, and battle-tested debugging.
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Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/deploying-cloud-k8s skilz install mjunaidca/mjs-agent-skills/deploying-cloud-k8s --agent opencode skilz install mjunaidca/mjs-agent-skills/deploying-cloud-k8s --agent codex skilz install mjunaidca/mjs-agent-skills/deploying-cloud-k8s --agent gemini
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 17.3
Agent Skill Grade
A
Score: 93/100
Click to see breakdown
Score Breakdown
Areas to Improve
- File is 427 lines but lacks table of contents for navigation
- Explanation of provenance could be more concise while remaining informative
- GitOps, Observability, Security, Resilience sections appear in both SKILL.md and reference file with partial overlap
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 1/24/2026
Developer Feedback
I've been digging through skills in the Kubernetes deployment space, and the way you structured the progressive disclosure here really stands out—hitting 93/100 suggests you've nailed the balance between comprehensiveness and cognitive load that most DevOps tooling completely fumbles.
Links:
The TL;DR
You're at 93/100, A-grade territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Utility (20/20)—the skill actually solves real problems that trip people up (architecture mismatches, build-time vs runtime variables, troubleshooting K8s issues). Weakest area is Spec Compliance (12/15), but that's mostly about description granularity, not substance.
What's Working Well
- Excellent problem coverage: You're addressing actual pain points—architecture mismatches, build-time vs runtime variables, platform detection failures. That's not theoretical stuff; that's battle-tested.
- Strong validation patterns: The Pre-Deployment Checklist with checkboxes and the Quick Diagnosis Flow actually guide people to verify things work before deploying. Most DevOps guides skip this.
- Practical examples: WRONG/RIGHT comparisons for Buildx, GitHub Actions templates, Helm commands with inline comments—these aren't fluff, they're immediately copy-pasteable.
- Token efficiency: For a 427-line reference file, you're packing a lot of signal without obvious bloat. The quick start gets people unblocked fast.
The Big One: Add TOC to Your Reference File
Your references/production-patterns.md is 427 lines covering GitOps, Observability, Security, Resilience, and checklists—but no table of contents. Someone scrolling through that gets lost.
The fix: Add a simple TOC at the top:
# Production Kubernetes Patterns
## Table of Contents
- [GitOps with ArgoCD](#gitops-with-argocd)
- [Observability Stack](#observability-stack)
- [Security Patterns](#security-patterns)
- [Resilience Patterns](#resilience-patterns)
- [Production Checklist](#production-checklist)
This gets you +1 on Navigation Signals (PDA pillar) and makes the file actually navigable.
Other Things Worth Fixing
Trim the provenance explanation (SKILL.md:68). "Why
provenance: false? Buildx attestation creates complex manifest lists that cause 'no match for platform' errors" could just be "Whyprovenance: false? Prevents buildx manifest errors." Same info, tighter.Reduce duplication between SKILL.md and reference (lines 263-335). GitOps, Observability, Security patterns appear in both with partial overlap. Keep abbreviated versions in SKILL.md, move full YAML to reference to save tokens.
Boost description triggers. You've got "deploying to production, troubleshooting deployments, architecture matching" which is solid, but add 1-2 more for discoverability: "build-time variables, multi-architecture Docker, platform detection issues".
Quick Wins
- High impact: Add TOC to reference file (+1 point, fixes navigation)
- Medium impact: Trim one-liners like the provenance explanation (+1 point, improves writing)
- Low lift: Add 2-3 trigger phrases to description (+1 point, improves discoverability)
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