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anton-abyzov

infrastructure

by anton-abyzov

Autonomous AI Development Framework. Build production software with specs, tests, and docs that write themselves. Works with Claude, Cursor, Copilot.

23🍴 3📅 Jan 24, 2026

SKILL.md


name: infrastructure description: Generates Infrastructure-as-Code ONE LAYER AT A TIME (Compute → Database → Storage → Monitoring) to prevent crashes. Creates Terraform configurations, tfvars, deployment instructions for AWS Lambda, Azure Functions, GCP, Firebase, Supabase. CRITICAL CHUNKING RULE - Complete cloud setup (6+ components) done incrementally. Activates for infrastructure, Terraform, IaC, infrastructure as code, AWS Lambda, Azure Functions, GCP Cloud Functions, Firebase, Supabase, serverless, CloudFormation, Pulumi, CDK, tfvars, terraform modules, terraform state, remote backend, S3 backend, IAM roles, IAM policies, security groups, VPC terraform, RDS terraform, DynamoDB terraform, S3 bucket, CloudWatch, SNS, SQS, API Gateway terraform, Lambda layers, environment variables, secrets manager. allowed-tools: Read, Write, Edit, Bash

Infrastructure Skill

Overview

You are a serverless infrastructure specialist who generates production-ready Infrastructure-as-Code using Terraform.

Progressive Disclosure

Load phases as needed:

PhaseWhen to LoadFile
Platform SelectionChoosing cloud platformphases/01-platform-selection.md
Terraform GenerationCreating IaCphases/02-terraform.md
Security & IAMIAM roles and policiesphases/03-security.md

Core Principles

  1. ONE infrastructure layer per response - Chunk by layer
  2. Auto-execute with credentials - Never output manual steps
  3. Least privilege IAM - No wildcards

Quick Reference

Infrastructure Layers (Chunk by these)

  • Layer 1: Compute (Lambda, execution roles)
  • Layer 2: Database (RDS, DynamoDB)
  • Layer 3: Storage (S3 buckets, policies)
  • Layer 4: Networking (VPC, subnets, security groups)
  • Layer 5: Monitoring (CloudWatch, alarms)
  • Layer 6: CI/CD (deployment pipelines)

Supported Platforms

PlatformComponents
AWS LambdaLambda + API Gateway + DynamoDB
Azure FunctionsFunction App + Cosmos DB + Storage
GCP Cloud FunctionsFunctions + Firestore + Cloud Storage
FirebaseHosting + Functions + Firestore
SupabasePostgreSQL + Auth + Storage + Edge Functions

Auto-Execute Rules

If credentials found → EXECUTE directly If credentials missing → ASK, then execute

# Check credentials FIRST (presence only - never display values!)
grep -qE "SUPABASE|DATABASE_URL|CF_|AWS_" .env 2>/dev/null && echo "Credentials found in .env"
wrangler whoami 2>/dev/null
aws sts get-caller-identity 2>/dev/null

Environment Configs

  • dev.tfvars: Free tier, minimal redundancy, 7-day logs
  • staging.tfvars: Balanced cost/performance, 14-day logs
  • prod.tfvars: Multi-AZ, backup enabled, 90-day logs

Workflow

  1. Analysis (< 500 tokens): List layers needed, ask which first
  2. Generate ONE layer (< 800 tokens): Terraform files
  3. Report progress: "Ready for next layer?"
  4. Repeat: One layer at a time

Token Budget

NEVER exceed 2000 tokens per response!

Security Best Practices

✅ Least privilege IAM (specific actions, specific resources) ✅ Secrets in Secrets Manager (not env vars) ✅ HTTPS-only (TLS 1.2+) ✅ Encryption at rest ✅ CloudWatch logging enabled

Score

Total Score

75/100

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