1. Software Development

Verifies UI tests correctly fail when a bug is present, supporting test creation (failure-only) and full validation (with fix).

Verifies pull request titles and descriptions match actual code changes, ensuring development workflow consistency and clarity.

Automates identifying and categorizing open GitHub issues requiring attention, such as milestone assignment, labeling, or investigation.

Provides utilities for writing, reviewing, and debugging Python tests with pytest, covering fixtures, mocking, and test design.

Reviews code for quality, maintainability, and correctness with focus on API design and coding patterns to provide actionable feedback.

Enables advanced Git operations including atomic commits, rebasing, squashing, and history analysis (blame, bisect, log).

Analyzes local or remote codebases for structure, file counts, and patterns using Repomix CLI for codebase exploration.

Automates running and fixing code linting issues to enforce project style guidelines and maintain consistent code quality.

Assists in developing and maintaining browser extensions for Chrome, Firefox, and Edge, including content scripts, background scripts, and i18n updates.

Comprehensive guide for backend development in a Next.js 14/tRPC/TypeScript monorepo, covering API design, database patterns, and testing strategies.

Tool for developing and managing Claude Code skills, including rule configuration, trigger patterns, hooks, and debugging per Anthropic best practices.

Manages Alembic database migrations and schema changes for the letta-cloud core app, supporting SQLite and Postgres with uv and just workflows.

Conducts pre-implementation technical readiness assessment with duplicate checks, architecture compliance, and documentation verification to ensure ≥90% confidence before development.

Verifies pre-implementation readiness with ≥90% confidence through duplicate checks, architecture compliance, and documentation review.

A toolkit for developing IoT applications, supporting device communication, sensor data, and edge computing.

Identifies and addresses common code anti-patterns, code smells, and bad practices during code reviews to enhance maintainability and quality.

Assists with Rust crate integration, dependency management, and ecosystem questions including Cargo.toml configuration and feature flags.

Resolves Rust mutability errors (E0596, E0499, E0502) and borrowing conflicts using interior mutability patterns.

Enables type-driven design in Rust to enforce compile-time validation and eliminate invalid states using patterns like newtypes and sealed traits.

Resolves Rust ownership, borrowing, and lifetime errors including E0382, E0597, and E0506 through context-aware solutions.

Guides on Rust error handling patterns including Result vs panic usage, custom errors, and propagation best practices.

Provides up-to-date information on Rust versions, crate details, and documentation from crates.io and docs.rs.

Assists in creating and validating domain models, entities, aggregates, and business rules following Domain-Driven Design principles.

Framework for developing Rust-based command-line interfaces with argument parsing, subcommands, and TUI features.