Skill UI

A constraint-based protocol designed to professionalize existing code by normalizing comments and performing safe, non-semantic cleanup. This skill converts informal, outdated, or missing documentation into clear, concise, and professional standards without altering the core logic or behavior. Ideal for preparing code for code review, open-sourcing, or formal documentation.

This skill helps transform code reviews from simple gatekeeping into a powerful knowledge-sharing mechanism. It guides users through systematic analysis of code changes, focusing on correctness, security, performance, and maintainability. Use it when reviewing pull requests, establishing best practices, or mentoring developers to ensure high-quality, robust codebase development.

This expert AI code reviewer evaluates code across correctness, security, performance, design, and readability. It identifies bugs, vulnerabilities, and anti-patterns with actionable fix suggestions. Supports Python, JavaScript, Go, and Rust. Provides structured feedback with metrics and positive notes to improve code quality.

Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.

This skill simplifies and refines code to enhance clarity, consistency, and maintainability without altering functionality. It applies project-specific best practices such as using ES modules, explicit type annotations, and readable structures. Ideal for cleaning up recently modified code, reducing complexity, and improving readability while preserving all original features and behaviors.

This skill performs comprehensive dependency analysis to identify security vulnerabilities, licensing conflicts, and maintenance risks in project dependencies. It scans for known vulnerabilities, outdated packages, and compliance issues, providing actionable remediation strategies and upgrade paths to enhance supply chain security.

This tool manages isolated profiles for Codex CLI and Codex Desktop, ensuring that different accounts, projects, and local states do not interfere with each other. It provides dedicated CODEX_HOME directories, allowing users to securely switch contexts (e.g., work, personal, client) on a single machine without manual environment variable management.

This skill enables launching OpenAI's Codex CLI as an isolated subagent for bounded coding, review, or verification tasks. It runs non-interactively in a sandbox, streaming progress while keeping context separate. Ideal for parallel work, independent verification, and self-contained coding tasks with clear success criteria. Users must ensure authentication and handle file ownership explicitly.

Delegate bounded coding tasks to the Command Code CLI (cmd) while retaining review and landing responsibility. The orchestrator writes a brief, dispatches via a relay script, reviews the diff, and commits. Requires cmd CLI installed and authenticated, Node 22+, and git.

This skill allows you to delegate bounded coding tasks to the GitHub Copilot CLI while retaining review and landing responsibility. You write a brief, dispatch the task via a relay script, wait for completion, review the generated diff against your requirements, and finally commit the changes. It requires the Copilot CLI installed and authenticated, along with Node.js and Git. This approach ensures human oversight in the coding process, preventing silent failures and maintaining control over code quality.

A protocol that provides LLM agents with persistent structural memory of a codebase. It maps the project as a directed graph, tracking not only dependencies (what imports what) but also the 'reasons' (why it connects). This allows agents to understand context, perform impact analysis, and navigate large repositories without loading the entire source code into the context window.

This guide provides essential best practices for building reliable, fault-tolerant applications in Go using DBOS durable workflows. It covers architectural patterns for integrating DBOS into existing Go code, defining complex workflows, managing steps, and utilizing queues for robust concurrency control. Essential reading for developers setting up, configuring, or testing mission-critical asynchronous processes.