platform-engineering_skill

This skill helps you design and implement internal developer platforms that boost DevEx through self-service templates, golden paths, and platform engineering
  • Python

291

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill ancoleman/ai-design-components --skill platform-engineering

  • outputs.yaml10.6 KB
  • SKILL.md16.8 KB

Overview

This skill designs and implements Internal Developer Platforms (IDPs) focused on self-service, golden paths, and measurable developer experience improvements. It covers platform strategy, IDP architecture (portal, orchestration, integrations), orchestration and GitOps tools, and adoption patterns to treat the platform as a product. Use it to build or mature an IDP, optimize DevEx, or form platform teams.

How this skill works

I assess your organization’s developer workflows, toolchain, and pain points, then recommend an architecture that separates developer portal, orchestration backend, and integration glue. I design golden-path templates, policy-as-code constraints, and observability/CICD integrations (Backstage/Port, Crossplane, Argo CD) and produce a prioritized implementation roadmap. I also provide maturity assessment, adoption strategies, and operational practices to measure impact and iterate.

When to use it

  • Building a new internal developer platform or portal (Backstage, Port)
  • Implementing golden paths, templates, and scaffolding for teams
  • Integrating GitOps, multi-cloud orchestration, or observability into an IDP
  • Establishing or restructuring a platform engineering team and governance
  • Measuring and improving developer experience (DORA, SPACE, adoption metrics

Best practices

  • Treat the platform as a product: define vision, roadmap, and developer customers
  • Start small: one pilot team and one golden path, iterate from feedback
  • Design opinionated defaults with clear escape hatches for advanced cases
  • Enforce critical controls via policy-as-code and soft governance for adoption
  • Instrument platform and DevEx metrics (DORA, SPACE, adoption, self-service rate)

Example use cases

  • Bootstrap an IDP with Backstage, service catalog, and first golden path for web apps
  • Implement GitOps delivery using Argo CD and multi-cluster manifests
  • Build Crossplane abstractions for multi-cloud environment provisioning
  • Create golden-path templates (API + frontend + infra + CI) for faster onboarding
  • Set up platform team structure, SLOs, and an adoption program with pilot teams

FAQ

Choose Backstage for large enterprises that need deep customization and have a dedicated platform team; pick a commercial portal for faster time-to-value and smaller platform teams.

What metrics prove platform success?

Combine DORA metrics (deployment frequency, lead time, MTTR, change failure rate) with platform-specific metrics: adoption rate, self-service rate, onboarding time, template usage, and developer satisfaction.

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platform-engineering skill by ancoleman/ai-design-components | VeilStrat