1. Software Development

Summarizes duplicate or similar code segments to enable refactoring for better responsibility separation and code commonization.

Translates code coverage results into actionable insights about test coverage gaps, emphasizing effectiveness over numerical metrics.

Conducts static code review on GitHub pull requests and outputs results to a local file. Usage: /review [PR_NUMBER].

Resolves Git rebase conflicts using a standardized step-by-step procedure for efficient branch merging.

Guides users through Test-Driven Development (TDD) workflow, including Red-Green-Refactor and Nested TDD, for efficient code implementation.

Automates detection and correction of code style and linting errors across multiple programming languages.

Guides users through Test-Driven Development (TDD) and Nested TDD processes with structured progression for writing tests and code.

Automates GitHub issue implementation using TDD, branch creation, and pull request generation.

Enables TDD-based implementation and fixes for issues by specifying an issue number.

Monitors pull request review comments and tracks responses to code review feedback efficiently.

Executes end-to-end test flows to validate integrated application functionality from user perspective.

Assists in conducting design reviews and organizing design proposals, including Architecture Decision Records (ADRs) templates for software architecture.

Monitors new pull request reviews and comments, extracting key points and excerpts for developers.

Automates pushing the current Git branch and opening a Pull Request following project conventions after successful pre-PR checks.

Enforces Git branching strategy and pull request workflow for all code changes, ensuring proper commit grouping and review.

AI-powered code consultation, review, and design feedback using OpenAI Codex CLI for developers.

Guidelines for writing, running, and debugging unit and E2E tests to ensure code quality before merges or pushes.

Generates structured implementation plans for new features, refactors, and changes following project-specific development conventions.

Provides real-time technical decision criteria, anti-pattern detection, debugging techniques, and quality assurance workflows for developers.

Creates Git commits with explicit user approval and no AI attribution, ensuring developer control over code versioning.

Performs in-depth codebase analysis to understand system architecture and generate technical documentation.

Converts Codex skill definitions to Claude Code format, enabling seamless porting between platforms through syntax and structure translation.

Creates rough pseudocode drafts to define function logic flow, supporting algorithm design and planning.

Provides talloc-based memory management and ownership rules for the ikigai framework.