Start a focused workflow to write or improve test coverage by specifying tasks, target files, test types, and coverage goals for disciplined programming practices.
Record writing errors like logical fallacies or unclear passages to track and correct them in manuscripts, improving writing quality through systematic error documentation.
Create and enhance test coverage by defining tasks, target files, test types, and frameworks using structured workflows for reliable and auditable results.
Create reusable prompt templates with variable placeholders and resource references for RPG Maker MZ game development, enabling consistent AI-generated content creation across projects.
Start the evolutionary process to automatically optimize AI prompts by configuring parameters and providing a seed prompt, improving performance through iterative testing and refinement.
Generate structured infrastructure and tool stack documentation using customizable prompt templates. Ideal for developers working with Cursor IDE to maintain clear system context and versioning.
Enables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.
Transforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.
An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.