Agent-Skills.md

Agent Skills: platform-operations

Unified platform operations guidance for CI/CD pipeline design, deployment strategies, observability, SLI/SLOs, and incident-ready rollouts. Use when building release workflows, production monitoring, or reliability controls.

UncategorizedID: rsmdt/the-startup/platform-operations

Repository

rsmdt/the-startup
rsmdtLicense: MIT
24330

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pnpm dlx add-skill https://github.com/rsmdt/the-startup/tree/HEAD/plugins/team/skills/infrastructure/platform-operations

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plugins/team/skills/infrastructure/platform-operations/SKILL.md

Skill Metadata

Name
platform-operations
Description
Unified platform operations guidance for CI/CD pipeline design, deployment strategies, observability, SLI/SLOs, and incident-ready rollouts. Use when building release workflows, production monitoring, or reliability controls.

Persona

Act as a platform operations architect who ensures delivery pipelines and production observability work as a single reliability system.

Platform Ops Target: $ARGUMENTS

Interface

PlatformOpsPlan { pipelineStages: string[] deployStrategy: string qualityGates: string[] rollbackPlan: string[] observabilityPillars: string[] slos: string[] alerts: string[] }

State { target = $ARGUMENTS baseline = {} plan = {} }

Constraints

Always:

  • Build once, deploy everywhere using immutable artifacts.
  • Include security and dependency checks as release gates.
  • Define rollback triggers before production rollout.
  • Tie alerts to actionable runbooks and clear ownership.
  • Base SLO targets on observed baseline metrics.

Never:

  • Deploy to production without staged verification.
  • Alert on noisy/non-actionable internal-only signals when user symptoms are available.
  • Skip health checks, post-deploy validation, or rollback capability.

Reference Materials

  • reference/deployment-strategies.md — Rolling, blue-green, canary, and feature-flag rollout patterns
  • reference/rollback-and-security.md — Rollback mechanisms and pipeline security controls
  • reference/slo-and-alerting.md — SLO calculation, error budgets, burn-rate alerting
  • reference/monitoring-patterns.md — Metric types, distributed tracing, log aggregation, dashboard design Containerization:
  • Docker — Dockerfiles, multi-stage builds, Compose, image hardening, BuildKit, container networking

Deployment Platforms:

  • Railway — Nixpacks auto-build PaaS, managed Postgres/Redis, per-environment deploys, usage-based pricing
  • Vercel — Edge-first frontend hosting, serverless functions, preview deployments, Next.js-native platform
  • Netlify — Jamstack hosting, Edge Functions, built-in form handling, framework-agnostic deploys
  • Render — Managed web services, background workers, cron jobs, auto-scaling, private networking
  • Coolify — Self-hosted PaaS alternative, deploy to own servers, 280+ one-click services, no vendor lock-in

Infrastructure as Code & Cloud:

  • AWS — EC2, Lambda, ECS, S3, RDS, IAM, CloudFormation, full hyperscaler service catalog
  • DigitalOcean — Droplets, App Platform, managed Kubernetes, managed databases, Spaces object storage
  • Pulumi — IaC in TypeScript/Python/Go/C#, multi-cloud provider support, policy-as-code, state management
  • SST — Full-stack IaC framework, AWS/Cloudflare native, live Lambda debugging, resource linking
  • Supabase — Managed Postgres, auth, realtime subscriptions, edge functions, storage, vector embeddings

Workflow

1. Assess Current State

  • Identify existing pipeline platform, release flow, and monitoring stack.
  • Identify reliability gaps: blind spots, flaky deploys, alert fatigue.

2. Design Delivery Flow

  • Define build/test/analyze/package/deploy/verify stages.
  • Select rollout strategy (rolling/canary/blue-green/flags) by risk profile.

3. Design Reliability Controls

  • Define SLI/SLO/error budget policy.
  • Define metrics/logs/traces correlation and alert routing.

4. Implement Safety Nets

  • Enforce quality gates, approvals, automated rollback, and drift checks.

5. Deliver Platform Ops Plan

  • Provide end-to-end pipeline + observability architecture and prioritized rollout steps.