Agent Skills: 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. Use when ", aws, lambda, serverless, api-gateway, dynamodb" mentioned.
ID: omer-metin/skills-for-antigravity/aws-serverless
15022
Install this agent skill to your local
Skill Files
The files that make up aws-serverless.
Loading file tree…
More agent skills
- exa-searchNeural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
- animation-performance-retroOptimize 8-bit animations for smooth performance. Apply when creating animated pixel art, game UI effects, or any retro-styled animations.
- copilot-usage-metricsRetrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.
- scorecard-marketingBuild quiz and assessment funnels that generate qualified leads at 30-50% conversion. Use when the user mentions "quiz funnel", "scorecard", "lead magnet", "score-based segmentation", or "lead qualification". Also trigger when designing self-assessment tools, building calculators or graders for marketing, or creating personalized result pages that drive conversions. Covers concept hooks, question design, dynamic results by tier, and automated follow-up sequences. For landing page conversion, see cro-methodology. For full marketing plans, see one-page-marketing.
- openclaw-secret-scanning-maintainerTriage, redact, clean up, and resolve OpenClaw GitHub Secret Scanning alerts in issues or PRs.
- fine-tuning-expertUse when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.