Skill UI

A comprehensive guide detailing security best practices for integrating with Instantly.ai. Learn how to implement least-privilege API scopes (e.g., campaigns:read), manage secrets using environment variables or dedicated secret managers, execute secure API key rotations, and validate incoming webhooks using custom headers. This skill is essential for developers building robust, secure, and scalable SaaS integrations.

This guide provides comprehensive steps and code examples for migrating Instantly.ai integrations from the deprecated API v1 to the modern REST API v2. It details critical changes, including updating authentication from query-string API keys to Bearer token authorization, standardizing endpoints, and restructuring complex request bodies. Use this skill to ensure your applications remain functional after the v1 deprecation.

Automates integrating secrets managers like HashiCorp Vault and AWS Secrets Manager by producing secure configurations, IAM policies, and deployment guidance so you can manage sensitive credentials in DevOps workflows with best practices.

Automates guidance for API integration testing by activating whenever integration test generator topics arise, offering patterns, best practices, and production-ready code plus validation for webhooks, SDKs, OAuth, and third-party integrations.

Automates integration test setup guidance, offering step-by-step best practices, production-ready code, and validation for automation workflows when integration testing is mentioned.

Automates Ip2whois tasks via Composio’s Rube MCP integration, guiding users through tool discovery, connection checks, multi-tool execution, and schema-compliant workflow steps for reliable toolkit operations.

This comprehensive guide provides patterns and best practices for implementing robust testing strategies in modern JavaScript and TypeScript applications. It covers setting up test infrastructure, writing unit tests for functions and classes, creating integration tests for APIs, and implementing end-to-end tests for user flows, supporting TDD and CI/CD integration.

Provides automated guidance and code generation for Jest-based test automation, covering unit, integration, mocking, and configuration patterns to ensure production-ready suites.

This comprehensive guide addresses common technical and business logic errors encountered when integrating with the Juicebox API. It covers HTTP status codes (e.g., 401, 403, 429), including authentication failures, quota exhaustion, rate limiting, data validation issues, and analysis timeouts. The resource provides detailed causes, specific fixes, and best practices for building reliable and robust integrations into recruiting and research workflows.

This guide provides a comprehensive reference for diagnosing and resolving common errors encountered when interacting with the Kling AI API. It covers various HTTP status codes (e.g., 400, 401, 429), task-level failures (e.g., content policy violations, low image quality), proper JWT token management, and implementing rate limit handling with exponential backoff. Use this resource when troubleshooting failed video generation or API integration issues.

A comprehensive framework for assessing the security, privacy, and compliance posture of Kling AI integrations. It covers crucial areas such as data residency, credential management, content policy adherence, and GDPR compliance (e.g., right to erasure). Use this guide when preparing for security audits or implementing robust data handling protocols for AI-generated content.

This guide documents common mistakes, gotchas, and anti-patterns encountered during Kling AI API integration. It covers critical best practices regarding data types, token management, polling, URL persistence, and prompt engineering to ensure stable and reliable AI video generation workflows. Essential reading for robust development and troubleshooting.