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aws-cdk

Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.

79

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, token-efficient skill body that pairs concrete CDK commands and error→fix tables with explicit validation checkpoints, and cleanly offloads detail to flat, real reference files. It rewards Claude's competence while remaining immediately actionable.

DimensionReasoningScore

Conciseness

Lean, table-driven body with concrete commands and no explaining of what CDK/CloudFormation is; every section earns its tokens and assumes Claude's competence.

3 / 3

Actionability

Provides copy-paste-ready commands (cdk bootstrap, cdk synth --strict, cdk diff, cdk rollback, cdk import) and specific API calls (CrossStackReferences.of($RESOURCE).produce(ReferenceStrength.BOTH)), fully executable guidance rather than abstract direction.

3 / 3

Workflow Clarity

Multi-step processes are sequenced with explicit checkpoints — the deadly-embrace fix weakens the reference then removes it across three deploys, and the deploy workflow is synth --strict → diff → deploy with "Always diff before deploy to prod"; drift uses --fail in CI as a validation gate.

3 / 3

Progressive Disclosure

SKILL.md is a concise overview linking to 8 one-level-deep reference files that all exist and are organized by topic; references are clearly signaled with descriptive link text and no nested chaining.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that names concrete actions and supplies an explicit "Always use when..." trigger list covering the skill's full surface area. It is specific, complete, and clearly distinguishable from adjacent IaC skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Authors, deploys, and troubleshoots", "writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks" — matching the score-3 anchor of several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ("Authors, deploys, and troubleshoots AWS infrastructure using CDK...") and when ("Always use when writing CDK constructs...") with an explicit trigger clause.

3 / 3

Trigger Term Quality

Natural user-facing terms are well covered ("CDK constructs", "bootstrapping", "cdk deploy/synth/diff", "CloudFormation errors", "resolving drift", "refactoring stacks"), the phrases a user would actually say when needing this skill.

3 / 3

Distinctiveness Conflict Risk

Clear CDK-specific niche scoped to TypeScript/Python with distinct, narrow triggers; unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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