sir-chawakorn

Design and orchestrate multi-agent AI systems with knowledge harvesting, agent collaboration, and learning loops. Use when working on PSI Engine or similar autonomous agent projects.

Provides patterns and best practices for developing cross-platform mobile apps using React Native and Flutter.

Scaffolding, boilerplate generation, and project templates. Use for generating components, modules, APIs, and project structures.

WCAG compliance checking and accessibility improvements. Use for auditing websites, fixing a11y issues, and implementing inclusive design.

Automated CI/CD pipeline setup with GitHub Actions, deployment strategies, and automation workflows. Use for build automation, testing, and deployment.

Cloud migration strategies for AWS, GCP, and Azure. Use for lift-and-shift, replatforming, and cloud-native architecture design.

Data processing, analysis, and visualization with Python/JavaScript. Use for data exploration, pandas operations, chart generation, and insights extraction.

Enhances code quality through AI-driven refactoring, enabling cleanup, modernization, and framework migration for better maintainability.

Transforms UI designs and screenshots into functional HTML/CSS/React code, streamlining the development process.

Facilitates efficient management of large-scale projects using Nx, Turborepo, and Lerna for streamlined workflows and package handling.

--- name: changelog-generator description: Generate changelogs automatically from git commits following conventional changelog format ---

--- name: code-explanation description: Explain complex code in simple terms, document logic, and help developers understand unfamiliar codebases ---

--- name: commit-message description: Generate meaningful, conventional commit messages from code changes ---

Manages project dependencies effectively, including installation, updates, conflict resolution, and security audits.

Automates the review of Pull Requests for code quality, bugs, security issues, and best practices to enhance development efficiency.

Optimizes LLM prompts with effective design patterns and techniques for better AI integration and output quality.

Enables efficient management and organization of reusable code snippets for developers, enhancing productivity and collaboration.

Automatically generates TypeScript types and interfaces from JSON data, API responses, or database schemas for improved type safety.

Facilitates a visual-first approach to application development by prioritizing UI design before adding functionality.

Transforms natural language descriptions into complete applications through AI orchestration, enabling rapid prototyping and MVP development.