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aws-serverless

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

54

Quality

62%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/antigravity-aws-serverless/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

42%

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

The skill is highly actionable with excellent, executable code examples covering a broad range of AWS serverless patterns. However, it is severely over-long and monolithic — cramming what should be a multi-file reference into a single ~700-line document that explains many concepts Claude already knows. The lack of progressive disclosure and explicit validation workflows in multi-step processes are significant weaknesses.

Suggestions

Split content into separate files: move Sharp Edges to SHARP_EDGES.md, Validation Checks to VALIDATION.md, CDK patterns to CDK.md, and keep SKILL.md as a concise overview with links to each.

Remove duplicate language examples — pick one primary language per pattern (e.g., Node.js for handlers) and reference the other in a separate file, rather than showing both inline.

Trim explanations of concepts Claude already knows (e.g., what cold starts are, what DLQs do, basic API Gateway concepts) and focus only on project-specific conventions and non-obvious gotchas.

Add explicit validation checkpoints to multi-step workflows, e.g., after `sam build` verify no errors before proceeding to `sam deploy`, and after deploy verify the API endpoint responds correctly.

DimensionReasoningScore

Conciseness

Extremely verbose at 700+ lines with extensive code examples in multiple languages (Node.js AND Python) for the same patterns, full SAM/CDK templates, and exhaustive sharp edges coverage. Much of this content (basic Lambda handler structure, API Gateway response format, standard error handling) is knowledge Claude already possesses. The skill reads like a tutorial/reference manual rather than a concise skill file.

1 / 3

Actionability

All code examples are fully executable and copy-paste ready — complete SAM templates, working Lambda handlers in both Node.js and Python, CDK TypeScript stacks, bash commands, and test event JSON. Specific commands like `sam build`, `sam deploy --guided`, and `cdk deploy` are provided with context.

3 / 3

Workflow Clarity

Individual patterns are well-structured with 'When to use' annotations and best practices, but there's no clear end-to-end workflow with validation checkpoints. The SAM local development section lists commands but doesn't sequence them into a validate-then-deploy workflow. The sharp edges section describes fixes but lacks explicit feedback loops (e.g., 'verify the fix worked by checking X').

2 / 3

Progressive Disclosure

This is a monolithic wall of text with no bundle files and no references to external documents. All content — handler patterns, SAM templates, CDK stacks, 8 sharp edges, 10 validation checks, and collaboration notes — is inlined in a single massive file. The cold start optimization, sharp edges, and validation checks sections could easily be split into separate referenced files.

1 / 3

Total

7

/

12

Passed

Description

82%

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

This is a strong description with excellent specificity and trigger term coverage across AWS serverless technologies. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill over others. The description is well-scoped to a clear niche with minimal conflict risk.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about building serverless apps on AWS, deploying Lambda functions, configuring API Gateway, or optimizing cold starts.'

Consider adding common user phrasings like 'serverless deployment', 'AWS Lambda timeout', 'event-driven architecture' to further improve trigger matching.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and technologies: Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization. These are concrete, identifiable capabilities.

3 / 3

Completeness

Clearly answers 'what does this do' with specific AWS serverless capabilities, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The 'when' is only implied by the technologies listed.

2 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'serverless', 'AWS', 'Lambda', 'API Gateway', 'DynamoDB', 'SQS', 'SNS', 'SAM', 'CDK', 'cold start'. These are terms developers naturally use when seeking help with serverless AWS applications.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: AWS serverless specifically. The combination of Lambda, API Gateway, DynamoDB, SAM/CDK, and cold start optimization creates a very specific domain unlikely to conflict with general cloud or backend skills.

3 / 3

Total

11

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (1344 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

9

/

11

Passed

Repository
boisenoise/skills-collections
Reviewed

Table of Contents

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