Skill UI

Evaluates infrastructure setups against SOC2, HIPAA, and PCI-DSS, highlights violations, and recommends fixes when users request compliance checks or audit reports.

This skill functions as an expert in workflow automation, specializing in designing and implementing robust CI/CD pipelines and GitHub Actions workflows. It guides users through automating the entire development lifecycle—from building and testing to secure deployment. By establishing clear stages, handling secrets, and defining rollback strategies, it ensures consistency, reduces manual effort, and accelerates delivery while maintaining high quality and security standards.

This guide details advanced strategies for optimizing and reducing data enrichment spending on platforms like Clay. Techniques include connecting private API keys (for significant savings), optimizing multi-step data pipelines (waterfalls), pre-filtering raw input data to prevent wasted credits, and implementing comprehensive budget monitoring. Ideal for professionals managing high-volume, cost-sensitive data pipelines.

A comprehensive guide and code implementation for scaling data enrichment pipelines to handle high volumes (10K-100K+ leads monthly). It covers capacity planning, optimizing batch processing using queues (e.g., BullMQ/Redis), managing rate limits, and designing multi-table architectures for robust, large-scale data ingestion.

This skill provides comprehensive guidelines based on Clean Code principles, transforming merely functional code into highly readable, maintainable, and robust software. It covers best practices for naming conventions, function design (small, single responsibility), error handling (exceptions over return codes), formatting, and adhering to Test-Driven Development (TDD). Use this skill when writing new features, reviewing pull requests, or refactoring legacy systems to improve overall code quality.

This guide provides comprehensive strategies for managing rate limits and quotas when interacting with the Clerk API. It covers implementing robust retry logic using exponential backoff for 429 errors, optimizing bulk operations through batching, establishing multi-level caching (in-memory/Redis) to reduce API calls, and monitoring usage to ensure stability in high-traffic production environments.

Guides ClickHouse database architects through schema designs, query optimization, ingestion strategies, and monitoring techniques tailored for high-performance analytical workloads.

Guide for automating Codacy tasks through Composio’s Rube MCP, highlighting connection setup, tool discovery, and execution patterns while always fetching schemas first.

A systematic and comprehensive checklist for conducting thorough code reviews. This skill guides reviewers through checking crucial aspects including functionality verification, security vulnerabilities, performance bottlenecks, code maintainability, and test coverage, ensuring high code quality standards.

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 skill executes CodeRabbit's core workflow, providing automated, in-depth code reviews directly on pull requests. It analyzes code diffs based on custom rules (e.g., API validation, DB security), generates detailed walkthrough summaries, and posts line-level feedback. Ideal for setting up robust CI/CD quality gates and maintaining high code standards throughout the development lifecycle.

This skill guides users on fine-tuning CodeRabbit's review quality. It teaches the AI agent team preferences through PR feedback, integrates custom code guidelines (e.g., security policies), allows customization of the review tone, and implements path filters to drastically reduce false positives and noise. This ensures that all code feedback is highly relevant, actionable, and aligns with specific team standards.