1. Software Development

Formats TypeScript and Python code according to Ben's style guidelines, resolving linting issues and organizing imports.

Provides REST and GraphQL API design patterns for Node.js, Flask, and FastAPI, covering endpoints, authentication, and pagination.

Provides robust error handling patterns for TypeScript and Python, including try/catch implementations and exception management.

Provides modern React patterns for TypeScript applications, including hooks, state management, and component composition to build components and implement best practices.

Generates step-by-step implementation plans for GitHub issues using Gemini CLI and creates feature branches to initiate development work.

Automates project migration to AgenticDev structure using AI analysis, preserving git history and generating structured documentation frontmatter.

Automates creation of spec-driven development project structure with required documentation and configuration files.

Generates high-quality draft specifications and analyzes PR feedback to accelerate spec-driven development workflows.

Builds structured Claude Code plugins with commands, agents, hooks, and marketplace configuration for seamless deployment.

Automates fetching Jira ticket details, creating Git branches, and initiating task planning when a user references a ticket ID.

Comprehensive code review of git branches, analyzing code quality, security, performance, and adherence to best practices.

Generates Jest or Pytest unit tests following Ben's testing standards, including mocking and assertions.

Generates structured templates for GitHub Copilot Agent Skills with SKILL.md frontmatter, directory layout, and optional resource folders for efficient skill development.

Analyzes pnpm monorepo dependencies including direct/transitive links, workspace interdependencies, and blast radius for efficient debugging and security reviews.

Verifies code implementation against task acceptance criteria to ensure correctness and requirements fulfillment.

Automates implementation of ready-tagged TODO items via Git commits, streamlining code delivery after requirement clarification.

Initializes a new project with the AI Coding Toolkit, setting up configurations and dependencies for AI-assisted development workflows.

Provides AI-powered code review with documentation research for second-opinion validation on current codebase.

Generates feature plans with codebase context to accelerate new feature development without full specification documentation.

Guides users in creating conventional commits with proper types, scopes, and bodies for semantic versioning and changelog automation.

Directly debug web pages in Chrome using DevTools capabilities via MCP interface.

Guides creation of MCP servers for LLMs to interact with external APIs, supporting Python (FastMCP) and Node/TypeScript (MCP SDK).

Safely resolves Git merge and rebase conflicts while preserving intended code changes during version control operations.

Enables frontend debugging and rendering issue troubleshooting using Chrome DevTools for website development.