1. Software Development

Audit tool for Neovim configuration files, detecting issues, deprecated APIs, and providing optimization best practices.

Automates creating draft pull requests for multiple issues in parallel using Git worktrees.

Provides systematic diagnosis for Neovim and LazyVim configuration issues, including errors, keymap failures, and plugin problems.

Manages GitLab merge requests using glab, enabling creation, updates, reviews, and merges directly from the command line.

Creates and optimizes Claude Code Skills, handling activation patterns and architecture for development workflows.

Enforces Clean Architecture dependency rules to prevent violations and maintain architectural integrity in software projects.

Provides standardized UI conventions for Blazor applications using MudBlazor, BEM methodology, and component structure best practices.

Provides Entity Framework Core best practices for Clean Architecture projects, covering DbContext, entity configurations, repository pattern, and PostgreSQL migrations.

Provides implementation guidelines for CQRS patterns with MediatR in .NET Clean Architecture, covering commands, queries, and validation.

Configures development environment for blocklet-server by cloning repository and guiding execution of project setup skill.

Generates structured code review documents from git diffs, including change overview, risk assessment, and recommendations for pull requests and feature branches.

Automates standardized pull request creation for blocklet projects with lint checks, unit tests, and version updates.

Guides users through setting up blocklet development environments, including setup choices, migration, and directory conventions.

Automates development environment setup for blocklet repositories by parsing URLs, cloning code, installing dependencies, and launching the server.

Manages Git branches by detecting main iteration branches, enforcing naming conventions, and handling branch creation and switching.

Generates standardized commit messages adhering to the Conventional Commits specification for consistent version control practices.

Generates standardized pull requests from branch diffs, supporting submission via GitHub CLI or saving as markdown.

Automates addressing bugbot feedback on pull requests by triaging, fixing valid bugs, and resolving false positives, then committing changes.

Generates structured feature plans using progressive disclosure and phase-based strategies for efficient multi-PR implementation.

Automates feature implementation by tracking progress in state files, using plan agents to explore codebases, and executing phase-by-phase development based on stored plans.

Manages GitHub pull request code reviews by processing feedback, understanding comments, and guiding iterative code improvements.

Detects breaking changes and ensures dependency safety in pull requests to improve code review quality and prevent regressions.

Provides a structured code review framework using conventional comments for clear, actionable developer feedback.

Applies Martin Fowler's refactoring patterns to identify code smells and apply structured transformations for improved code quality.