Reusable skills and steering that teach AI coding agents how to apply the AWS Well-Architected Framework. One set of playbooks, 14 supported tools.
About the project
Well-Architected Skills & Steering for AI Coding Agents is a collection of playbooks that teaches coding agents to apply the AWS Well-Architected Framework while software is being developed. Developers use it to receive local, contextual architecture guidance across supported AI coding tools without requiring AWS credentials or API calls. The catalogue add-ons are the skills, commands, agents, and instructions that deliver these playbooks to coding agents.
Perform a full AWS Well-Architected Framework review evaluating all 57 questions across 6 pillars by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation.
Assess a workload's readiness to migrate to AWS by analyzing existing code, dependencies, configurations, and infrastructure to produce evidence-backed findings covering the 7 Rs, risks, and a migration plan.
"Learn then Build" — help developers understand AWS Well-Architected best practices for their specific workload, then produce actionable visual artifacts (architecture diagrams with WA annotations, decision trees, improvement roadmaps) they can commit and use. Adapts explanations for beginners and generates artifacts…
Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) — plus an optional governance steering doc, so a workload stays aligned with Well-Architected best practices over time…
Help a facilitator run a conversational Well-Architected Framework Review (WAFR) with a customer — generates tailored facilitator questions, probing follow-ups, and "things to look out for" per WA question and best practice, adapted to the workload context.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: