Promptopia

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.

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.

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.

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.

Prompt Tester

Facilitates AI virtual assistants in evaluating and comparing LLM prompts from various platforms through direct comparisons, monitoring of tokens, and cost analysis to assess prompt performance.

SystemPrompt

Facilitates seamless integration with SystemPrompt.io for centralized prompt creation, maintenance, and version control.

cal2prompt (Google Calendar)

Enhances interaction with calendar interfaces by leveraging API connections to retrieve event details, facilitating personalized reminders and streamlined scheduling support for efficient task organization.

Prompt Manager

Streamline your development workflows and code reviews with a customizable prompt template system. Easily manage and serve prompts using variable substitution and tag-based organization for efficient LLM interactions.

PromptLab

Enhancing user queries into custom prompts for AI systems through automatic identification of content types and the application of specialized templates from a YAML-driven framework.

MLflow Prompt Registry

Integrate MLflow's Prompt Registry with Claude Desktop to easily explore and utilize curated prompt templates that support dynamic variable replacements.