mastering-aws-cdk
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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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdkskilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent opencodeskilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent codexskilz install SpillwaveSolutions/mastering-aws-cdk-plugin/mastering-aws-cdk --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/mastering-aws-cdk-plugincp -r mastering-aws-cdk-plugin/skills/mastering-aws-cdk ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- mastering-aws-cdk-plugin
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 91
Agent Skill Grade
A Score: 91/100 Click to see breakdown
Score Breakdown
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
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mastering-aws-cdk
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Note: For critical security issues that require immediate attention, please also email security@skillzwave.ai directly.