Skill UI

Integrates CAST AI cost validation into CI/CD pipelines (GitHub Actions, Terraform). This skill automatically enforces cost governance by checking minimum savings thresholds, validating Terraform plans to prevent destructive changes, and ensuring agent health status before deployment, guaranteeing cost-aware and safe deployments.

This guide details essential best practices for securing applications integrated with Anthropic's Claude API. It covers critical security measures including secure API key management (server-side only), robust input validation to prevent cost attacks, defense mechanisms against prompt injection, and implementing per-user rate limiting. Essential reading for maintaining data privacy and system integrity in production environments.

Automate the execution of integration tests against a live ClickHouse database instance within a Continuous Integration (CI) pipeline using Docker containers. This setup eliminates the need for mocks, ensuring thorough schema validation and query reliability in environments mirroring production deployments. Ideal for robust CI/CD setup and schema enforcement.

A comprehensive, step-by-step guide for safely upgrading ClickHouse server versions and the associated Node.js client SDK. This guide covers pre-upgrade checks, reviewing major breaking changes, updating client code (e.g., 'host' to 'url'), performing server backups and updates, and implementing full validation and rollback procedures.

This skill provides a comprehensive framework for conducting high-quality code reviews. It guides developers through checking code across four critical dimensions: Correctness (functional accuracy and edge cases), Maintainability (readability and documentation), Performance (efficiency and resource usage), and Security (input validation and vulnerability management). It also emphasizes providing actionable, constructive, and empathetic feedback.

A comprehensive checklist for ensuring GPU workloads, such as inference services or model training pipelines, are fully prepared for production deployment on CoreWeave. It covers critical MLOps and DevOps aspects including autoscaling, resource limits, security policies, persistent storage validation, monitoring setup, and rollback procedures.

A comprehensive guide to setting up CI/CD pipelines for ElevenLabs integrations. It implements a robust two-tier testing strategy: running mocked unit tests on every push to save API quota, and executing gated, real integration tests only on main branches or manually. Essential for automated validation of TTS projects using GitHub Actions.

Provides comprehensive security guidelines and code patterns for integrating with the Fathom API. This module covers critical security concerns such as API key management, webhook signature verification, PII (Personally Identifiable Information) redaction, and robust input validation. It ensures compliance and protects highly sensitive meeting transcripts and confidential business data in production environments.

This skill automatically converts structured data specifications (such as CSV, JSON schemas, SQL DDL, or Protobuf definitions) into functional, production-ready code. It generates complete models, validation logic, full CRUD API endpoints, and unit tests in multiple languages (Python, TypeScript, Go, etc.), significantly reducing boilerplate coding time and ensuring type safety.

A comprehensive guide for securing highly sensitive fundraising and investor data managed within the Finta platform. This document covers critical security best practices, including secure API key management, webhook signature verification, robust input validation using libraries like Zod, and techniques for data redaction to prevent leaks. Essential for developers building integrations that handle confidential financial terms, valuations, and investor contact information.

A guide to optimizing API interactions with Flexport for logistics data. This skill implements advanced techniques including maximizing page sizes for bulk fetching, implementing LRU caching for frequently accessed data (e.g., product details), managing rate limits using parallel request queues (p-queue), and utilizing webhook-driven cache invalidation to ensure data freshness and high throughput.

This guide provides production-ready patterns for interacting with the Flexport REST API v2 in TypeScript and Python. It teaches crucial best practices, including implementing a singleton client for state management, handling paginated data streams, automatic retry logic, and using Zod for robust response validation, ensuring reliable logistics integrations.