platform-skills
Consolidates fragmented platform engineering knowledge across Kubernetes, cloud infrastructure, and CI/CD into a single reference, reducing onboarding time a…
A platform engineering handbook covering Kubernetes, OpenShift, Argo CD, Flux CD, AWS, Azure, Terraform, and GitHub Actions — with an optional Claude plugin layer for interactive guidance.
- Ask Claude to explain Kubernetes resource management patterns for scaling microservices.
- Generate Terraform configurations for multi-cloud AWS and Azure infrastructure setup.
- Find GitOps best practices using Argo CD or Flux CD for continuous deployment workflows.
Consolidates fragmented platform engineering knowledge across Kubernetes, cloud infrastructure, and CI/CD into a single reference, reducing onboarding time and decision paralysis when standardizing tooling across teams.
Platform engineering teams adopting multi-cloud infrastructure and GitOps workflows seeking centralized technical documentation.
https://github.com/nitinjain999/platform-skills
By nitinjain999
How to Get It
claude plugins install nitinjain999/platform-skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Explain Kubernetes resource management patterns for scaling microservices
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Level Up Your SQL Server Cross Platform Skills with Mssql-Scripter — Hacker News · 3 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 41 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 41 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.