1. Software Development

Analyzes browser console logs to identify and resolve JavaScript errors, warnings, and application logs in frontend applications.

Guides test case design using equivalence partitioning, boundary analysis, and accessibility testing for comprehensive coverage.

Enforces conventional commit standards and atomic commits for clear, semantic versioning-friendly commit history.

Reference guide for Git branchless workflows using stacked diffs to manage code changes without traditional branches.

TypeScript library for runtime schema validation, data parsing, and strict type safety in application development.

Automates enforcement of TypeScript/JavaScript style, ESLint standards, and type safety using modern ES2024+ patterns.

Configures MCP (Model Context Protocol) servers for connecting Claude Code to external APIs, databases, and services via HTTP, SSE, and stdio with authentication.

Enforces PEP 8 compliance, type hints, Google-style docstrings, and modern Python 3.11+ patterns for consistent, collaborative code.

Orchestrates multiple AI agents to parallelize software development tasks from PRD specifications, breaking down work and coordinating multi-agent workflows.

Reviews TypeScript and React code for type safety, performance, accessibility, and security, ensuring adherence to development best practices.

Builds Model Context Protocol (MCP) servers with FastMCP framework, handling authentication, session management, and transport configuration.

Configures Sentry error monitoring in React applications by installing and setting up @sentry/react.

Enforces clean code history through small, focused Git commits with descriptive messages for improved reviewability.

Synchronizes and verifies structural consistency between Korean and English language versions of the Pokémon Green skill.

Automates identification and resolution of production errors by analyzing Sentry error reports, stack traces, and contextual data.

Configures Sentry Metrics for custom tracking of counters, gauges, and distributions in JavaScript and Python applications.

Installs and configures sentry-ruby gem for error monitoring in Ruby and Rails applications.

Reviews pull requests for issues flagged by Sentry's bug prediction, enabling efficient code quality and error resolution during development.

Configures Sentry error monitoring for Python applications, including Django, Flask, and FastAPI.

Enables performance monitoring by setting up Sentry Tracing for JavaScript, Python, and Ruby applications to track transactions, spans, and latency.

Guides TypeScript development with standards for naming, documentation, immutability, strict typing, and testing patterns.

Configures Sentry error monitoring for React Native and Expo apps via wizard CLI, including @sentry/react-native installation and setup.

Configures Sentry error and logging integration for JavaScript, Python, and Ruby projects with structured logging support.

Provides code advice by bundling prompts and files, then using another LLM for debugging, refactoring, and design validation.