1. Software Development

Automates pre-release tasks including version updates, CHANGELOG maintenance, and package building for software releases.

Fixes notebook errors by correcting cell content, JSON schema, or source code to ensure proper execution and structure.

Automates final development workflow including testing, linting, documentation updates, and commit operations.

Checks Python code quality using Ruff and MyPy, identifying errors and enforcing style standards.

Comprehensive code review tool verifying DDD/OOP compliance, DRY violations, clean code principles, architecture patterns, and test coverage.

Analyzes external library and cross-language code implementations to understand functionality and dependencies.

Automates functional testing and debugging of GUI applications to ensure reliability during development cycles.

Automates cleanup of temporary files and commits changes to Git repository upon task completion.

Template and guidelines for safely extending GWpy/Astropy classes, covering __new__ methods, unit propagation, and slice safety.

Creates isolated Git worktrees for feature development, ensuring workspace separation with smart directory selection and safety checks.

Profiles code execution speed to identify performance bottlenecks and optimize application efficiency.

Executes targeted tests after code changes using custom pytest commands, focusing on affected tests and generating JSON summaries for sub-agent fixes.

Adds new array types (Array, Series) and collections to the gwexpy library for enhanced data structure capabilities.

Systematically reviews repository structure, code quality, tests, and documentation to generate priority-based improvement reports.

Manages LibSQL/Turso database schemas with Zod validation, generates migrations, and enforces type safety for database operations in development workflows.

Executes backend and frontend integration tests, including E2E testing, to verify system functionality and diagnose API/UI interaction failures.

Bulk refactors import statements and code cells in Jupyter Notebook (.ipynb) files.

Provides NestJS caching utilities with Redis integration, featuring multi-level caching, cache invalidation patterns, and stampede protection mechanisms.

Manages LibSQL/Turso database schemas with Zod validation, generates type-safe migrations, and ensures schema integrity for application development.

Provides curated patterns to efficiently resolve frequent MyPy type errors in the gwexpy Python codebase.

Prevents testing anti-patterns including mocking without dependency understanding, testing mock behavior, and test-only methods in production code.

Automates code linting and formatting checks before committing code changes, ensuring consistent code quality and adherence to style guidelines.

Generates new Claude Code skills with optimized structure, modular design, and improved maintainability for efficient development and refactoring.

Analyzes backend performance to detect N+1 queries, unpaginated queries, and full table scans for API optimization.