pest-testing
Pest-testing is a testing framework that allows developers to write and organize tests using the Pest syntax.
Categories.seoDescriptions.community
Discover the world's most comprehensive directory for AI Agent Skills and community-driven MCP Servers (Model Context Protocol). Seamlessly find and install high-quality developer integrations for your Claude Desktop, Cursor, or custom AI agents. From cloud operations to API integrations, explore verified open-source MCP practices to supercharge your AI workflows.
Pest-testing is a testing framework that allows developers to write and organize tests using the Pest syntax.
RelavueER is a tool that reverses ER diagrams from databases and allows you to view them interactively in your browser with ease.
Documentation is a set of practices and guidelines for writing clear, concise, and precise technical documentation with examples, diagrams, and screenshots.
Pest-testing is a software testing skill that utilizes Pest 3 patterns and documentation to create and organize unit and feature tests.
Server List Manager
new-blog-post is a skill that automates the creation of new blog posts by adding article cards to blog.html, following a predefined pattern and layout.
Architect is a system design skill that applies Architecture Playbook principles to create efficient business logic flows and data management systems.
kb-orchestrator-workflow is a workflow automation template that integrates Telegram and Codex bridge bot for reproducible task execution.
release-check is a skill that automates pre-release verification by running a suite of checks, including composer lint, tests, and build processes.
firefly-footer-config is a skill that enables the safe injection of custom footer snippets, maintaining existing styles and object structures.
push is a skill that automates the deployment process using a project's push script to commit and deploy changes
sub-agent-decompose-worker-review is a pipeline automation skill that decomposes tasks, executes them, and reviews the results using a chain of three agents: task-decomposer, task-worker, and reviewer.