Skill UI

This skill provides comprehensive patterns and scripts for managing rate limits when automating workflows involving CodeRabbit and the GitHub API. It covers both CodeRabbit's internal review limits and GitHub's core API limits, including best practices for safe pagination, GraphQL usage, and local caching to ensure robust, reliable automation.

This comprehensive template provides a production-grade reference architecture for CodeRabbit AI code reviews. It is designed to guide teams in establishing rigorous coding standards by defining specific, best-practice instructions for various layers (API, Database, Authentication, Frontend, CI/CD, Infrastructure). Use this as a robust starting point to build a comprehensive, automated, and secure code quality review process.

This skill provides a comprehensive guide to configuring CodeRabbit for advanced, security-focused code reviews. It teaches how to implement rules for detecting hardcoded secrets, common vulnerabilities (like SQL injection and XSS), and enforcing secure coding standards across APIs, databases, and infrastructure code. Use this when hardening a codebase's security posture or ensuring compliance with industry standards.

This guide helps users manage their CodeRabbit setup, covering plan upgrades (e.g., Free to Pro/Enterprise) and migrating configuration files. It details how to update the .coderabbit.yaml schema to adopt the latest features, advanced workflows, and best practices for enhanced code review automation.

This comprehensive guide details how to implement robust webhook endpoints for CodeRabbit, an AI-powered code review tool. It covers essential security practices, including signature validation (HMAC-SHA256), and provides structured methods for handling various event types (e.g., PR reviews, check run completions, comments). Use this skill when integrating CodeRabbit into CI/CD pipelines to automate notifications, track metrics, and enforce quality gates.

This skill provides professional, AI-powered code review, integrated with Codex AI. It is designed to ensure high code quality before commits, automatically generate comprehensive CHANGELOGs, and assist in managing large-scale refactoring projects efficiently.

Behavioral rules for LLMs writing or reviewing code, emphasizing caution, simplicity, surgical edits, and goal-driven execution to avoid common mistakes during implementation tasks, bug fixes, or refactors.

Provides universal coding standards and best practices for TypeScript, JavaScript, React, and Node.js projects, covering naming, immutability, async handling, component design, API structure, and validation to keep teams aligned.

Guide for automating Coinranking operations through Composio’s toolkit via Rube MCP, emphasizing tool discovery, connection checks, schema compliance, and multi-execution workflows for reliable task execution.

Guides creation of B2B cold outreach emails and follow-up sequences that read like a peer note, covering subject lines, hooks, proof points and single-ask CTAs for sales development reps.

Guides how to author Claude Code slash commands using Markdown prompts, YAML frontmatter, dynamic arguments, Bash execution, and best-practice organization for reusable workflows and interactive automation.

Provides comprehensive frameworks and best practices for conducting thorough competitive landscape analysis. This skill helps users systematically analyze market competition, identify potential market gaps, pinpoint differentiation opportunities, and develop robust, winning market positioning strategies to secure a sustainable competitive advantage.