1. Software Development

Analyzes JavaScript/TypeScript codebases to generate LLM-optimized context, reducing token usage by 74-97% for improved code understanding and debugging.

Applies dynamic CSS styling to Vaadin Grid rows based on data conditions using setPartNameGenerator and ::part() selectors for conditional row highlighting.

Provides quality assurance and testing protocols tailored for statistical software applications and validation.

Implements and maintains CSS for frontend components, ensuring design system consistency and production optimization with Tailwind and CSS modules.

Adds info icon buttons with contextual help dialogs to Jmix views for complex forms and workflow guidance.

Defines initial project setup process with context configuration, PRD generation, and codebase analysis for software development initiation.

Extracts REST API specifications, endpoint lists, and frontend integration data from Spring Boot backends for documentation and development purposes.

Comprehensive guide for building Convex backends with queries, mutations, actions, HTTP endpoints, and schema management.

Enables building Next.js applications using App Router, Server Components, Client Components, and TypeScript for routing and data handling.

Complete guide for integrating Stripe payments (subscriptions/one-time) with Convex + Next.js, covering API setup, webhooks, testing, and deployment.

Provides initial project setup for Claude code projects, including necessary configuration files and structure for new codebases.

Provides layered architecture patterns and outside-in development for RPG API codebase, integrated with RPG Toolkit.

Test skill containing all required fields to validate skill definition schema and system integration during development.

Executes implementation plans one commit at a time, following the sequence: brainstorm, implement, test, commit.

Manages Elm packages by providing documentation lookup, dependency listing, and registry search for Elm projects and elm.json files.

Detects external file references in tests to prevent flakiness and ensure test reliability.

Conducts comprehensive code reviews focusing on security, performance, and maintainability to identify bugs and improve code quality.

Tool for developers to create new functional capabilities (skills) within the AI assistant platform, enhancing system extensibility.

Creates new software agents for user-defined automation tasks, enabling development of custom application components.

Enables reading, implementing, and resolving GitHub issues as part of software development workflows.

Debugs Drupal cache issues including header interpretation, cache hit/miss analysis, and stale content resolution.

Analyzes codebases in two phases: discovering features and tracing workflows to understand software structure and behavior.

Debugs HTTP cache behavior by inspecting headers and analyzing responses using curl and containerized environments.

Provides implementation guidance for Drupal cache tags, covering naming conventions, entity tags, and invalidation strategies for efficient cache management.