Skill UI

This internal agent skill defines a systematic, multi-step procedure for scanning GitHub repositories to gather comprehensive evidence supporting or explaining bug clusters. The process covers searching open issues, inspecting recent commits, analyzing code paths, and checking deployment history. It assigns evidence confidence tiers (Exact, Strong, Moderate, Weak) to provide a deep, actionable understanding of potential software defects.

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

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 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.

A comprehensive tool for searching the Model Context Protocol (MCP) across various GitHub locations, including PRs, issues, and discussions. It allows users to track the full lifecycle of protocol specifications, from initial proposals to final merged changes. Furthermore, it facilitates deep dives into pull request reviews and comments, enabling the extraction of key maintainer rationales and design intent for accurate technical understanding.

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.

Use the StackBlitz SDK to seamlessly embed live, interactive code playgrounds (WebContainers) directly into documentation, blog posts, or tutorials. This method allows users to view and experiment with code examples (e.g., React, TypeScript) without leaving the current page, making tutorials and documentation highly engaging and functional. Supports embedding from GitHub repositories or creating inline projects.

This guide provides comprehensive instructions for integrating TechSmith's screen capture (Snagit) and video editing (Camtasia) tools using the COM API. It covers advanced scripting techniques in a Windows environment, primarily utilizing PowerShell and Python interop (`pywin32`). Use it to automate complex content creation workflows, such as batch rendering, programmatic screen region capture, and structured file handling for professional video assets.

This guide provides comprehensive solutions for common automation errors encountered when utilizing the TechSmith Snagit COM API and Camtasia. It covers critical topics such as COM server registration, elevated permissions, and file locking issues, making it essential for developers writing automation scripts in PowerShell or Python.

This workflow automates the creation of step-by-step documentation guides using the TechSmith Snagit COM API and PowerShell. It first captures a series of sequential screenshots for a guide, and then uses a batch process to open and annotate these images within the Snagit Editor, ensuring consistency and efficiency in creating professional tutorials.