awos-recruitment

This skill should be used when the user asks to "create a SwiftUI view", "build an iOS app", "set up an Xcode project", "review Apple platform code", "add a widget", "create a watchOS app", "build for visionOS", "fix SwiftUI layout", or when generating any Swift code targeting Apple platforms (iOS, iPadOS, macOS, tvOS, watchOS, visionOS). Provides modern SwiftUI-first best practices covering UI patterns, app lifecycle, navigation, project structure, and platform-specific guidance. Use together with `swift-development` for Swift language fundamentals. Always generates Swift unless the project explicitly requires Objective-C.

AWS DynamoDB best practices for table design and data modeling. Use when designing DynamoDB schemas, choosing partition/sort keys, creating secondary indexes, modeling relationships, handling time series data, or optimizing query patterns. Triggers on tasks involving DynamoDB table creation, key design, GSI/LSI configuration, single-table design, adjacency lists, write sharding, or capacity planning. Does not cover DynamoDB SDK/API reference or CloudFormation/Terraform resource definitions.

AWS Lambda best practices for function design, configuration, and operations. Use when designing Lambda functions, choosing memory/timeout settings, planning concurrency and scaling, setting up monitoring, processing streams, or securing Lambda workloads. Triggers on tasks involving Lambda function creation, handler design, cold start optimization, idempotency, event source mapping, reserved/provisioned concurrency, or deciding whether Lambda is the right compute choice. Does not cover language-specific SDK patterns, CloudFormation/Terraform resource definitions, or Lambda@Edge.

This skill should be used when the user asks to "build a genomics pipeline", "call variants", "analyze RNA-seq", "run ChIP-seq analysis", "annotate variants", "QC sequencing data", "detect CNVs", or when writing any bioinformatics pipeline code involving NGS data. Provides expert guidance on pipeline frameworks (Nextflow, Snakemake, WDL), alignment, variant calling, and production-ready nf-core workflows.

This skill should be used when the user asks to "set up ChromaDB", "create a Chroma collection", "add embeddings to ChromaDB", "query ChromaDB", "search vectors", "semantic search with ChromaDB", "filter ChromaDB results", "ChromaDB metadata filtering", "configure Chroma", "use ChromaDB persistent client", "delete from ChromaDB", or when writing any code that interacts with the chromadb Python package. Provides up-to-date API patterns, filtering syntax, collection configuration, and embedding function integration.

FastAPI best practices and conventions. Use when writing, reviewing, or refactoring FastAPI applications — route handlers, Pydantic schemas, dependency injection, project structure, async patterns, testing, or API documentation. Triggers on tasks involving FastAPI routers, endpoints, request validation, response models, or application configuration. Does not cover general Python syntax or typing — see modern-python-development for that.

This skill should be used when the user asks to "create an MCP server", "build an MCP tool", "add an MCP resource", "define MCP prompts", "set up FastMCP", "run an MCP server", "expose tools via MCP", "mount MCP sub-servers", "configure MCP transport", "add authentication to MCP", "test an MCP server", "use the MCP client", or when writing any Python code that uses the fastmcp package. Provides up-to-date FastMCP API patterns for tools, resources, prompts, server composition, authentication, and deployment.

Use when GitHub Actions checks fail, workflow runs are red, or user asks to fix CI. Triggers on "fix CI", "actions failing", "checks are red", "pipeline broke", "workflow failed". User may provide a run URL, job ID, or just ask to fix.

Use when the user wants to watch the current GitHub repo for pull requests that need their review — new PRs, explicit review requests, re-requests after new commits — e.g. "watch for incoming reviews", "check PRs needing my review", or to set up a recurring check. GitHub-only (gh CLI). Not for reviewing one specific known PR (invoke pr-review directly).

This skill should be used when the user asks to "build an Android app", "create a Composable", "set up an Android project", "review Android code", "refactor Android", "add a screen", "create a Wear OS app", "build for Android TV", "build for Android Auto", "build for Android Automotive", "adapt for Meta Quest", "build for Fire TV", "build for Fire Tablet", "set up Room database", "add local storage", "use DataStore", "persist data", "add database migration", "encrypt storage", "add in-app purchases", "integrate Google Play Billing", "add subscriptions", "implement billing", "monetize app", "write Android tests", "test ViewModel", "test Composable", "set up Android testing", "add unit tests", "configure Android Lint", "add custom lint rule", "set up lint baseline", or when generating any Kotlin code targeting Google/Android platforms (including AOSP-based devices). Provides modern Jetpack Compose-first best practices covering UI patterns, app lifecycle, navigation, local storage, billing/payments, testing, Android Lint, and platform-specific guidance. Use together with `kotlin-development` for language fundamentals. Always generates Kotlin unless the project explicitly requires Java.

This skill should be used when the user asks to "write Kotlin code", "create a Kotlin class", "set up a Kotlin project", "review Kotlin code", "refactor Kotlin", "use coroutines", "fix Kotlin style", "set up Detekt", "configure ktlint", "add static analysis", "set up code linting", or when generating any Kotlin source code. Provides modern Kotlin 2.1+ best practices covering null safety, coroutines, data modeling, error handling, idiomatic patterns, and static analysis (Detekt, ktlint). Does not cover any specific library or framework.

Production patterns for building LangGraph StateGraph workflows deployed on AWS Bedrock AgentCore. Covers graph design, interrupt-based human-in-the-loop, multi-day checkpointing, 3-tier model routing with fallback chains, confidence calibration implementation, Cedar policy enforcement for agent authorization, cost-aware pipeline design, AgentCore Runtime deployment, Bedrock Foundation Models and Guardrails, MCP tool integration via AgentCore Gateway, and observability with LangSmith and CloudWatch. Use when building agentic AI workflows with LangGraph, deploying agents on AWS Bedrock AgentCore, or implementing interrupt-based HITL workflows.

This skill should be used when the user asks to "write Python code", "create a Python module", "set up a Python project", "review Python code", "refactor Python", "add type hints", "fix Python style", or when generating any Python source code. Provides modern Python 3.12+ best practices covering syntax, type hints, error handling, project structure, and idiomatic patterns. Does not cover any specific library or framework.

This skill should be used when the user asks to "write Python code", "create a Python module", "set up a Python project", "review Python code", "refactor Python", "add type hints", "fix Python style", or when generating any Python source code. Provides modern Python 3.12+ best practices covering syntax, type hints, error handling, project structure, and idiomatic patterns. Does not cover any specific library or framework.

This skill should be used when the user asks to "create an npx package", "build a CLI tool with TypeScript", "set up a Node.js CLI", "publish an npm package", "configure package.json bin field", "add CLI argument parsing", "create an executable npm package", or when writing TypeScript code for a command-line tool distributed via npx. Covers package structure, TypeScript configuration, argument parsing, build pipeline, and npm publishing.

Postgres performance optimization and best practices. Use when writing or reviewing SQL queries, designing schemas, configuring connection pooling, fixing N+1 queries, creating indexes, implementing row-level security, diagnosing slow queries with EXPLAIN ANALYZE, or optimizing database performance.

Use when working through code-review feedback to apply fixes and replies — "address the PR comments", "address the MR comments", "reply to CodeRabbit/Codex feedback", "resolve these review threads", "apply this review". Works in two modes. Public mode (default) responds to reviewer feedback on a pull request or merge request you authored, on GitHub or GitLab — fix, reply, resolve, commit, and push. Local mode — triggered when the request says "locally", "for myself", "apply this review", or "don't post" — applies feedback from a local review file to your working tree, posting nothing to a review platform. Each item gets a proposed fix or reply for your approval first. This is the author's side; to review someone else's PR, use pr-review.

Use when authoring a code review of a pull request or merge request — "review this PR", "do a code review on PR

Expert guidance for writing high-quality pytest tests. Use when writing tests, setting up fixtures, parametrizing, mocking, or reviewing test code.

React performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.