Extensible Filesystem Based Prompt Workflow System

via “dotprompt file-based prompt management and versioning”

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Unique: Introduces a dedicated .prompt file format that separates prompt definition from code, enabling non-engineers to modify prompts and version control them in Git. Prompts are compiled into Flow-like objects with input/output schema validation, and can be tested via CLI without code changes. Supports templating and multi-turn conversations in a declarative format.

vs others: More structured than raw prompt strings in code and simpler than full prompt management platforms (Promptly, Langsmith); enables Git-based versioning and CLI testing without external services.

via “extensible filesystem-based prompt workflow system”

Write prompts, not code

Unique: Implements prompts as version-controllable filesystem artifacts organized in a hierarchical directory structure (sys/org/usr) rather than storing them in a proprietary database or cloud service. This design enables teams to treat prompts like code (version control, code review, CI/CD integration) and share them via git repositories.

vs others: More portable and version-controllable than cloud-based prompt management systems, but requires manual file management and lacks built-in UI for prompt discovery and organization.

via “markdown-based-prompt-storage-and-versioning”

Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

Unique: Uses git and markdown as the primary storage and versioning mechanism rather than a custom database or prompt management platform, leveraging existing developer workflows and tools while maintaining simplicity and transparency through readable file formats.

vs others: Provides version control and collaboration benefits of git-based systems without requiring custom infrastructure, whereas dedicated prompt management platforms (e.g., Langchain Hub) require proprietary APIs and don't integrate as naturally with developer workflows.

via “prompt-versioning-and-iteration”

Amplify your workflow with the best prompts.

Unique: Implements Git-like version control semantics specifically for prompts, with branching and diffing tailored to prompt text rather than code

vs others: Provides version control for prompts without requiring developers to use Git or manage prompts as code files in repositories

via “skills system for multi-file prompt workflows”

A collection of prompt examples to be used with the ChatGPT model.

via “modular-prompt-composition”