Skill UI

This advanced skill automates the entire lifecycle of cloud infrastructure deployment. Instead of manual documentation review, it researches current best practices across multi-cloud platforms (AWS, GCP, Azure), synthesizes a coherent deployment strategy, and generates production-grade Infrastructure as Code (IaC). It outputs comprehensive artifacts, including Terraform modules, Kubernetes manifests, CI/CD pipelines, monitoring setups, and cost estimates, ensuring secure and optimized deployment.

This skill integrates with the Runway ML platform, enabling developers to programmatically generate high-quality video and edit images using the official Python SDK. Use this when your workflow requires advanced creative AI features, such as converting text prompts into videos, or managing complex creative tasks within a CI/CD pipeline. The skill provides necessary patterns and error handling for successful API calls.

This skill guides the setup of Continuous Integration and Continuous Deployment (CI/CD) pipelines for Salesforce projects using GitHub Actions. It covers automated metadata deployment, rigorous Apex unit testing, and integration testing, ensuring code quality and stability before every release. Key steps include configuring JWT authentication, setting up GitHub Secrets, and defining multi-stage workflows to validate and deploy changes across environments.

This comprehensive skill guides users through installing and configuring the necessary SDKs (jsforce, simple-salesforce) to connect programmatically to Salesforce. It thoroughly covers multiple industry-standard OAuth 2.0 flows, including Username-Password, JWT Bearer, and Web Server flow. This is essential for setting up secure, robust integrations in new projects, CI/CD pipelines, or user-facing applications requiring access to Salesforce data.

This guide provides a comprehensive workflow for configuring and managing Salesforce integrations across multiple environments, including Development, various Sandboxes (QA, Staging), and Production. It covers best practices for environment-specific credential handling, utilizing secrets managers (Vault, AWS/GCP), and establishing robust CI/CD deployment promotion flows using Salesforce CLI and code examples.

This guide implements comprehensive policy guardrails for robust Salesforce integrations. It provides solutions for preventing SOQL injection vulnerabilities, detecting hardcoded credentials, throttling API usage at runtime, and enforcing code quality via custom ESLint rules and CI/CD checks. Use this when building secure, scalable, and compliant Salesforce applications.

This comprehensive guide details setting up robust CI/CD pipelines using GitHub Actions for testing SalesLoft API integrations. It enables running unit tests with mocked responses, performing live integration tests against the actual SalesLoft API (including OAuth token validation and connectivity checks), and ensuring deployment stability. Use this skill when automating quality assurance, validating API endpoints, or managing complex SaaS workflow deployments.

This guide provides a comprehensive setup for Continuous Integration (CI) and Continuous Deployment (CD) for SerpApi integrations. It outlines using fixture-based unit tests via GitHub Actions for Pull Requests (preventing API credit consumption) and controlled live integration tests on the main branch. This ensures robust and reliable search result parsing validation.

This guide provides a comprehensive setup for Continuous Integration/Continuous Deployment (CI/CD) pipelines for Shopify apps. It utilizes GitHub Actions to automate linting, unit testing, and critical integration tests. Key features include API version compatibility checking, secure secret management, and streamlined deployment via the Shopify CLI, ensuring stable and reliable e-commerce functionality. Ideal for setting up automated release cycles or monitoring API changes.

This comprehensive guide demonstrates how to establish a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline for Snowflake data warehousing. It integrates SchemaChange for managing version-controlled database migrations, GitHub Actions for automated testing and deployment triggering, and Terraform for provisioning and managing underlying Snowflake infrastructure (databases, warehouses, roles). Use this when setting up reliable, repeatable, and automated deployment workflows.

This guide provides comprehensive steps to install and configure Snowflake SDKs for Node.js and Python. It covers various authentication methods, including password, secure Key Pair authentication (ideal for CI/CD), and enterprise-grade SSO/OAuth integration. Use this when setting up data pipelines or applications that require reliable and secure connectivity to the Snowflake data warehouse.

Automate the Continuous Integration and Continuous Deployment (CI/CD) workflow for applications leveraging Together AI's OpenAI-compatible API. This skill sets up comprehensive GitHub Actions workflows to run unit tests (mocking completions and embeddings) on every Pull Request, and full integration tests (live API calls) upon merging to the main branch. It ensures robust validation of prompt formatting, model selection, and API connectivity for various LLMs.