claude-skills

Use this agent when the user needs assistance with AWS-related tasks including CDK infrastructure code generation, AWS service documentation lookup, architecture diagram creation, AWS API usage guidance, or any cloud infrastructure design and implementation work.

Use this agent when you need to validate deployed AWS infrastructure and services. Specifically use this agent when: (1) A deployment has completed and you need to verify the infrastructure is working correctly, (2) You need to discover and test API Gateway endpoints from CloudFormation stacks, (3) You want to validate EventBridge event flows and integrations, (4) You need to run integration tests against live AWS services after infrastructure changes, or (5) You're troubleshooting issues with deployed AWS resources and need to verify their operational status.

Use this agent when you need to synthesize, validate, deploy, or manage AWS CDK infrastructure. Specifically use this agent when: (1) the user requests CDK synthesis or template validation, (2) the user wants to deploy CDK stacks with proper dependency management, (3) CloudFormation stack status needs to be verified, (4) deployment failures require rollback handling, or (5) the user has just modified CDK infrastructure code and needs to deploy changes.

Use this agent when code has been written or modified and needs quality assurance before committing. Invoke after any substantial code changes to ensure quality standards are met, including linting, test generation, code review against team standards, and coverage analysis.

Use this agent when you need to create or update project documentation, including: - After implementing new functions, classes, or modules that need JSDoc/TSDoc comments - When API endpoints or interfaces have been added or modified and need documentation - After significant code changes that require README or architecture documentation updates - When preparing for releases and need to ensure all documentation is current - When creating or updating GitLab wiki pages for project knowledge sharing

Detect AI writing patterns in text. Use when: (1) need to check if text sounds AI-generated, (2) reviewing content before publication, (3) analyzing writing for Wikipedia-style AI markers, (4) generating report-only analysis without changes.

Use when: (1) User asks to "review for AI writing" or "check for LLM signs" (2) User wants to "detect AI-generated text" or "humanize this document" (3) User wants to identify and fix signs of AI/LLM-generated writing (4) User mentions Wikipedia AI writing guidelines

Fix AI writing patterns in text. Use when: (1) ai-writing-analyzer found issues to fix, (2) need to humanize AI-generated content, (3) preparing content for publication, (4) iteratively refining text until clean.

Review text against Wikipedia's "Signs of AI Writing" guidelines using an iterative loop-until-clean

Use Amazon S3 Vectors for cost-effective semantic search and RAG workloads. Use when: (1) building AI memory systems, knowledge bases, or Zettelkasten, (2) need vector search but Aurora/OpenSearch seems expensive, (3) evaluating AWS options for embeddings storage, (4) building Claude Code plugins with semantic search. S3 Vectors is 90% cheaper than specialized vector DBs, serverless, and integrates with Bedrock.