Skill UI

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs. This skill guides users through establishing robust design standards, reviewing specifications, and optimizing APIs for various use cases, ensuring longevity and developer delight.

Auto-activating skill that guides teams through creating validated Artillery load-testing configurations, offering best-practice patterns, sample scripts, and configuration validation for performance, load, and benchmarking use cases.

Auto-activating skill that guides teams through creating validated Artillery load-testing configurations, offering best-practice patterns, sample scripts, and configuration validation for performance, load, and benchmarking use cases.

Automated guidance for designing DynamoDB tables within AWS, offering best-practice patterns, production-ready configurations, and validation tailored to compute, storage, networking, and serverless use cases.

A comprehensive guide providing reference architectural patterns for building scalable, maintainable, and robust enterprise integrations involving Gamma services. It details three patterns—Basic, Service Layer, and Event-Driven—covering use cases from simple prototypes to high-volume, microservices-based systems, guiding system designers and architects on best practices.

Automatically analyzes source files, detects or honors the requested testing framework, and produces comprehensive unit tests with mocks, edge cases, and assertions for Jest, pytest, JUnit, and other frameworks whenever users ask to generate tests.

Automate Helloleads operations by discovering and invoking Composio toolkit tools through Rube MCP, always querying `RUBE_SEARCH_TOOLS` for current schemas, ensuring active connections, and executing workflows via `RUBE_MULTI_EXECUTE_TOOL` with proper memory/session handling.

This comprehensive guide provides strategies for optimizing video generation using Kling AI. It covers the crucial trade-offs between speed, quality, and cost by selecting the optimal model and parameters. Techniques detailed include performance benchmarking, implementing connection pooling, advanced caching strategies, and prompt engineering best practices to ensure efficient and high-quality outputs for any production use case.

Master the configuration of Langfuse webhooks to capture crucial prompt lifecycle events (Created, Updated, Deleted). This skill guides you through building a secure endpoint to intercept these events, enabling powerful, automated integrations. Use cases include triggering CI/CD pipelines upon production prompt changes, syncing data to external systems, or notifying teams via Slack.

This comprehensive skill manages the entire lifecycle of database testing, ensuring data integrity and system reliability. It covers setting up isolated test environments (using Docker or in-memory databases), executing migrations, and implementing robust test isolation strategies (such as transaction rollback). Use cases include verifying CRUD operations, validating referential constraints, performance benchmarking (EXPLAIN ANALYZE), and ensuring backward compatibility across multiple databases (PostgreSQL, MySQL, MongoDB) and ORMs.