mastering-aws-cdk

91
A

Guides AWS CDK v2 infrastructure-as-code development in TypeScript with patterns, troubleshooting, and deployment workflows. Use when creating or refactoring CDK stacks, debugging CloudFormation or CDK deploy errors, setting up CI/CD with GitHub Actions OIDC, or integrating AWS services (Lambda, API Gateway, ECS/Fargate, S3, DynamoDB, EventBridge, Aurora, MSK).

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#references#GitHub Actions#codex#Guides AWS#agentic-skills#Mastering AWS#CDK#agentic-skill

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk
skilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent opencode
skilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent codex
skilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent gemini

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/mastering-aws-cdk-plugin
2. Copy the agent skill directory:
cp -r mastering-aws-cdk-plugin/skills/mastering-aws-cdk ~/.claude/skills/

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Related Agentic Skills

Agentic Skill Details

Type
Other
Meta-Domain
Primary Domain
Market Score
91

Agent Skill Grade

A
Score: 91/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
27/30
Ease of Use
22/25
Writing Style
9/10
Utility
18/20
Modifiers: +3

Areas to Improve

  • Minor redundancy in best practices
  • Workflow section could use explicit step numbers
  • Missing explicit version info in metadata

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-19

Developer Feedback

I took a look at your mastering-aws-cdk skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 91/100, solid A territory. This is based on Anthropic's skill best practices rubric. Your strongest area is the architecture—the way you've structured the skill (main SKILL.md at ~130 lines delegating to 7 reference files) is exactly how Progressive Disclosure should work. Weakest area is Spec Compliance (12/15), mostly because you're only hitting 1-2 trigger phrases when you could expand that.

What's Working Well

  • Architecture is chef's kiss. You've nailed the layered structure—SKILL.md stays focused and delegates deep content to reference files. No nested rabbit holes. This is how token economy gets done right.
  • Actual troubleshooting teeth. The debugging checklist with copy-pasteable checkboxes is the kind of thing that saves people 30 minutes at 2am. That's real utility.
  • Service patterns are thorough. Lambda, DynamoDB, API Gateway sections cover the pain points people actually hit—not generic AWS docs regurgitation. The OIDC setup specifically? That's niche enough that it matters.
  • Consistent terminology throughout. L1/L2/L3 constructs, synth/diff/deploy workflow—you're not mixing metaphors. Developers can search and find stuff.

The Big One: Beef Up Your Trigger Phrases

Right now you've got maybe 1-2 trigger phrases in the description ("cdk deploy", "cdk synth"). You're leaving discoverability on the table. Expand that description to cover actual queries people type:

Current: "AWS CDK production patterns and best practices"

Better: "AWS CDK L2 constructs, production deployment patterns, OIDC federation, cdk-nag security scanning, troubleshooting CDK erro...

AI-Detected Topics

Extracted using NLP analysis

references GitHub Actions codex Guides AWS agentic-skills Mastering AWS CDK agentic-skill gemini opencode

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