Prompt Manager

Just Prompt (Multi-LLM Provider)

Explore a versatile protocol that streamlines communication with various LLM providers such as OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama. Enjoy efficient prompt sending and secure response file storage features for enhanced productivity.

Meta-Prompting

Unleashing language models' potential, the Model Context Protocol (MCP) converts them into flexible multi-agent frameworks. Within this system, a central Conductor dissects intricate issues into manageable subtasks, assigning them to domain-specific Experts for execution. This interplay fosters comprehensive problem-solving through diverse viewpoints and critical self-assessment, enhancing the overall workflow efficiency.

Claude Prompts

Enhance your Claude models with a dynamic prompt framework offered by the Model Context Protocol (MCP). This innovative system facilitates standardized model interactions, intricate reasoning processes, and sequential prompt sequences. Utilizing a TypeScript/Node.js server, the MCP ensures comprehensive API backing for seamless integration.

Smart Prompts

Discover and manage prompts effortlessly by leveraging semantic search, composition tools, and usage analytics within the Model Context Protocol (MCP). Access prompts directly from GitHub repositories, eliminating the need for local storage.

Task Manager

Enhance your AI code editing experience with seamless project management integration using the Model Context Protocol (MCP). This innovative protocol facilitates extensive feature mapping, flexible task organization, thorough code evaluation, and dynamic project updates via an intuitive Svelte user interface.

Prompt Template Server (Go)

Efficient Go server designed to efficiently handle YAML prompt templates from the file system, optimizing the management and organization of standardized prompts for AI models.

Langfuse Prompt Management

Enhance your AI applications with dynamic prompt management, version control, and easy retrieval by integrating with Langfuse through the Model Context Protocol (MCP).

Chain of Draft Prompt Tool

Streamline your tasks with a Model Context Protocol (MCP) that structures prompts into sequential workflows. This innovative system, based on chain executions, seamlessly passes outputs between steps, allowing for continuous enhancement in activities such as research, code assessment, and generating documentation.

VibeCoderMCP

Optimizing software development processes for LLMs by providing guidance on structured workflows, feature definition, creating PRDs, and tracking progress through a unique hybrid document storage solution.

Software Development Prompts

Enhance your software development workflow with a versatile Node.js server offering standardized YAML prompts for diverse tasks like code review, refactoring, API documentation, test generation, and architectural guidance.

Prompts Library

Efficiently organize and control prompt templates using markdown files paired with YAML frontmatter. Enjoy structured content management, live file monitoring, and streamlined CRUD functions. Ideal for managing prompt libraries systematically and enhancing team cooperation.

Promptz

Facilitates seamless prompt integration into developer workflows by connecting to the promptz.dev platform, streamlining access without the need for manual copying and pasting.

Promptopia

Efficiently handle prompt templates by incorporating variable substitution and versatile conversation structures for enhanced management and reusability.

LLMling

Experience seamless YAML-configured settings for LLM tools, facilitating the intuitive creation of tailored environments incorporating resource allocation, command execution, and interactive prompts.

TypeScript Prompt Development

Explore a cutting-edge TypeScript-driven platform designed to craft, validate, and enhance structured prompts within a local setting prior to rolling out to live systems.