Skill UI

This utility analyzes code changes within a branch compared to the base branch. It calculates a complexity score, detects scope coherence issues (warning if changes are too large or unrelated), and generates a fully structured Pull Request (PR) draft. It automates the creation of titles, comprehensive descriptions (including checklists and technical details), and even suggests splitting the PR into smaller, manageable units, significantly improving code review quality and efficiency.

This skill provides a comprehensive, 4-phase workflow for managing and reviewing a pull request backlog. It automatically audits open PRs, classifying them by size, staleness, overlap, and CI status. Users can then initiate deep code reviews, generate comment drafts, and set up local worktrees for systematic maintenance and quality assurance.

This skill guides a thorough, adversarial review of development plans across four key dimensions: Architecture, Code Quality, Testing, and Performance. It forces explicit consideration of trade-offs, risks, and user approval before any code is written, ensuring robust and well-engineered solutions for complex systems.

A sophisticated, multi-agent system designed to perform deep, comprehensive code reviews on pull requests. It covers core elements like code quality, functionality, security vulnerabilities, and testing coverage. Advanced features include detecting scope drift, enforcing SOLID principles, identifying DRY violations, and providing anti-hallucination safeguards for maintain high software integrity.

This tool performs a rapid, heuristic security assessment focused on identifying common vulnerabilities listed in the OWASP Top 10. It scans source code for hardcoded secrets, SQL injection risks, XSS vectors, insecure dependencies, and authentication flaws. It is ideal for pre-commit checks or code reviews before merging sensitive changes.

This tool leverages an LLM-as-a-Judge agent to thoroughly evaluate staged Git changes before they are committed. It checks for correctness, completeness, and safety issues, providing a detailed verdict (APPROVE, NEEDS_REVIEW, REJECT) and actionable feedback. It is essential for maintaining high code quality, especially in complex or security-sensitive code sections.

This tool automatically formats Python code using the industry-standard 'black' formatter. It ensures your codebase adheres to consistent style guidelines, improving readability and maintainability across the entire team. Ideal for development workflows and code reviews.

Adds Office 365 Outlook connector to a Power Apps code app. Use when accessing calendars, sending emails, reading inbox, or managing Outlook events. Covers finding connection IDs, running CLI commands, reviewing generated services, configuring operations, building the app, and updating the memory bank.

Audits table permissions on Power Pages sites by analyzing them against site code and Dataverse metadata. Generates an HTML audit report with severity-grouped findings and suggested fixes. Use when reviewing or verifying table permissions for security issues.

Expert guidance for writing and reviewing asynchronous C++ networking code with Boost.Asio or standalone Asio, covering TCP/UDP, SSL/TLS, timers, strands, io_context, coroutines, completion handlers, and version-specific API pitfalls, verified across Boost versions 1.62 to 1.90.

Discover, name, and label every LLM workflow in a repository for Caveman Cloud. Helps break LLM spend down by workflow instead of one bucket. Inventory code paths, propose a labeling table, wire gateway labels, and verify changes through the user's normal review.

Analyzes code changes to identify concrete defects such as bugs, logic errors, and edge-case failures. A practical assistant for development teams verifying pull requests and code revisions.