Production-ready serverless patterns for AWS Lambda, API Gateway, DynamoDB, and event-driven architectures.
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add sickn33/antigravity-awesome-skills --skill aws-serverlessCompatible with
Supported agents
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:
epx add 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:
.cursor/skills/aws-serverless
Restart Cursor to activate aws-serverless. Access via /aws-serverlessin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
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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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