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This skill provides comprehensive guardrails for handling Protected Health Information (PHI) in US healthcare software. It guides development teams on data classification, security best practices, access control, and audit logging to ensure strict adherence to HIPAA regulations. Use it when dealing with patient data storage, transmission, or processing to prevent breaches and maintain compliance.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

A comprehensive guide to structuring Flutter applications using a feature-first, layered architecture. It defines clear separation of concerns across UI, Logic (Domain), and Data layers, ensuring maintainability and testability. This approach guides developers on organizing code by feature modules, making it ideal for building complex, scalable, and long-lived applications while remaining agnostic to specific state management solutions.

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A comprehensive guide to designing, implementing, and testing state management in Flutter using the BLoC and Cubit patterns. Learn how to model state using sealed classes or status enums, handle events, wire widgets with BlocBuilder/Listener, and follow architectural best practices for scalable, maintainable applications.

Utilize Chrome DevTools MCP to gain full visibility into live browser execution. This powerful tool allows agents to inspect the DOM, analyze console logs, monitor network requests, profile performance, capture screenshots, and verify complex UI rendering issues, bridging the gap between static code and real-time user experience.

Automates CI/CD pipeline setup, from linting and type checks to integration, E2E, security, and deployment stages, plus feedback loops for AI agents and preview deployments.

This guide provides detailed best practices for writing and maintaining comprehensive End-to-End (E2E) test cases for the 'lark-cli' tool. It covers the entire workflow, from exploring live help documentation and identifying leaf commands, to structuring state-proving tests (e.g., read-after-write assertions) and generating the required `coverage.md` artifact. Use this when adding or significantly updating E2E coverage for any specific functional domain.

Guides AI agents through analyzing working code, spotting overly complex structures, then refactoring for clarity while preserving exact behavior and project conventions, especially after reviews or high-pressure edits.

A step-by-step debugging guide that starts by stopping feature work and preserving evidence, then moves through triage (reproduce, localize, reduce), root-cause fixes, recurrence guards, and verification to handle test/build/runtime failures and incidents without guessing.

This comprehensive guide outlines best practices for writing idiomatic, high-quality Dart and Flutter code. It covers detailed conventions for naming (e.g., UpperCamelCase, lowerCamelCase), proper use of types (final, sealed classes), structuring files, managing imports, and writing accurate doc comments. Use this skill when developing new Dart features, refactoring existing code for consistency, or reviewing pull requests for style compliance.