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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.

51

Quality

56%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/antigravity-aws-serverless/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

47%Weight 40%Scale 1-5

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

The body functions as a lean pointer to a real one-level-deep reference file, which is the right shape, but it contributes almost nothing itself: no workflow, no concrete steps, and some duplicated or filler content. It reads as a stub wrapper around the detailed guide rather than an overview that orients and guides.

Suggestions

Replace the duplicated description and circular "When to Use" with a short numbered workflow (e.g., 1. Identify the relevant pattern in the guide, 2. Apply the pattern's prerequisites, 3. Validate per the guide's validation steps) so the body carries a real sequence.

Move the "Monitor memory usage" snippet into the detailed guide and instead include one high-value inline example (e.g., a minimal SAM deploy command) so the body offers concrete, executable guidance.

Add a brief bulleted index of the detailed guide's sections (Principles, Patterns, etc.) so "load the relevant sections" is actionable without opening the 1340-line file.

DimensionReasoningScore

Conciseness

The body is short but padded: it duplicates the frontmatter description verbatim ("Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions..."), includes a trivial memory-logging snippet, and a circular "When to Use" ("when the request clearly matches the capabilities and patterns described above") — content that could be trimmed without losing value.

3 / 5

Actionability

The only in-body code (the "Monitor memory usage" handler snippet) is real JavaScript but elided with "// ..." and tangential to the skill's core purpose; all substantive executable guidance is deferred to references/detailed-guide.md with no concrete steps stated in the body itself.

3 / 5

Workflow Clarity

The body contains no sequenced steps or validation checkpoints at all — its sole directive is "Read [the detailed guide] before executing this skill", so even a rough task sequence is absent rather than merely gapped; the actual workflow lives entirely in the un-indexed reference file.

2 / 5

Progressive Disclosure

The single reference (references/detailed-guide.md, verified to exist) is one level deep, properly linked, and clearly signaled with load conditions ("For focused work, load the relevant sections; for end-to-end work, read the guide completely"), but the orphaned inline code snippet belongs in the guide and no section map helps navigate the 1340-line reference.

4 / 5

Total

12

/

20

Passed

Description

66%Weight 40%Scale 1-5

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 specific, well-scoped description with excellent technology-level keywords and low conflict risk, but it omits any explicit "when to use" trigger guidance, which caps its completeness. Adding a "Use when..." clause with natural trigger phrases would lift it to the top tier.

Suggestions

Append an explicit trigger clause, e.g. "Use when the user asks to build, deploy, or optimize serverless applications on AWS — Lambda functions, API Gateway routes, DynamoDB tables, SQS/SNS event pipelines, or SAM/CDK deployments."

Convert the passive "Covers..." inventory into concrete action verbs ("Build Lambda functions, configure API Gateway routes, design DynamoDB schemas, deploy with SAM/CDK") to sharpen specificity.

Include one or two common synonyms or adjacent terms users say (e.g., "event-driven architecture", "infrastructure as code") to round out trigger coverage.

DimensionReasoningScore

Specificity

Lists several specific items — "Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization" — but frames them as a technology inventory ("Covers...") rather than explicit concrete action verbs, leaving minor gaps versus the comprehensive action-list pattern of the top anchor.

4 / 5

Completeness

The "what" is clear ("building production-ready serverless applications on AWS" with a technology list), but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Strong natural keyword coverage ("serverless", "Lambda", "API Gateway", "DynamoDB", "SQS/SNS", "SAM/CDK", "cold start") that users would genuinely say, though a few common variations and adjacent terms (e.g., CloudFormation, Step Functions, event-driven architecture) are missing.

4 / 5

Distinctiveness Conflict Risk

The AWS-serverless niche with named services (Lambda, DynamoDB, SAM/CDK) is mostly distinct, with only minor overlap risk against closely related general AWS or infrastructure-deployment skills.

4 / 5

Total

15

/

20

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.

Validation — 15 / 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
boisenoise/skills-collections
Reviewed

Table of Contents

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