1. Software Development

Provides best practices for designing REST and GraphQL APIs, including contract definition and architecture review.

Guides system design using architectural patterns and principles to ensure scalability and maintainability in software development.

Provides profiling, bottleneck identification, and optimization techniques to enhance system performance.

Enables efficient feature implementation following project patterns, test writing, and token-optimized MCP tool usage for development efficiency.

Validates implementations via unit, API, browser, and database tests with code-verified results, supporting pytest, jest, and curl.

Tool for creating, updating, and optimizing Claude skills using best practices, including anatomy, token efficiency, and description-as-trigger patterns.

Installs project-specific hooks for Claude Code enforcement by reading from .claude/config/project.json during initialization or new project setup.

Enforces valid state transitions and actions through customizable hooks, blocking invalid operations with exit code 2 or permission decisions.

Designs and refactors terminal user interfaces for command-line applications using ASCII art, color schemes, and box drawing characters.

Systematic debugging for full-stack issues across UI, backend, and database layers with iterative fixes and automated verification.

Automates project initialization by detecting project type, creating feature lists, and setting up tracking for software development workflows.

Provides best practices and patterns for implementing async/await in concurrent programming tasks.

Sets up a two-agent development system with initializer (planning) and coding agents, including enforcement hooks and progress tracking for implementing the two-agent architecture pattern.

Guides creation of Model Context Protocol (MCP) servers in Python (FastMCP) or Node/TypeScript (MCP SDK) for LLMs to interact with external APIs and services.

Manages agent state transitions (START, INIT, IMPLEMENT, TEST, COMPLETE), triggers context compression at 80% capacity, and handles session lifecycle in a single-orchestrator architecture.

Provides code-based verification for reproducible outcomes using semantic versioning and SHA256 hashes, returning boolean exit codes.

Performs safe, multi-file code refactoring via AST analysis with mandatory preview and verification using gritql.

Assists with Jujutsu (jj) version control tasks including commits, rebases, history editing, and revsets.

Discovers Java API signatures from compiled JARs using javap, eliminating guesswork and incomplete documentation for accurate method and type inspection.

Provides tools for creating, editing, and managing reactive Python notebooks using Marimo, including CLI commands and UI components.

Context-driven development methodology for organized, spec-first coding with TDD, using `conductor/` directory and track management commands.

Automates project release management by updating changelogs, synchronizing package versions, and creating versioned releases with git commits, tags, and GitHub Releases.

Provides PHP-based utilities for retrieving current time, converting timezones, and performing time calculations across Windows, Mac, and Linux.

Generates reusable code templates for common development patterns and structures.