Production-ready serverless patterns for AWS Lambda, API Gateway, DynamoDB, and event-driven architectures.
Lambda handler structure with proper error handling, context optimization, and SDK client initialization for cold start efficiency
API Gateway integration using SAM templates, supporting both HTTP and REST APIs with CORS configuration and IAM policies
Event-driven SQS patterns with batch processing, partial failure handling, dead-letter queues, and retry logic
Anti-patterns
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaws-serverlessExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill aws-serverlessFetches aws-serverless from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate aws-serverless. Access via /aws-serverlessin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Run in your terminal
Package manager
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill aws-serverlessWorks with
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
aws-serverless fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
aws-serverless reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for aws-serverless matched our evaluation — installs cleanly and behaves as described in the markdown.
aws-serverless is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: aws-serverless is focused, and the summary matches what you get after install.
aws-serverless has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: aws-serverless is focused, and the summary matches what you get after install.
aws-serverless fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added aws-serverless from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
aws-serverless is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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