// Prompt Engineer or Prompt Generator

Prompt Engineer / Prompt Generator

Modular Prompt Engineering System / Documentation-Driven / Custom GPT

One-liner summary:
A modular, documentation-driven prompt engineering system for generating, refining, and managing prompts. All logic and workflow are managed through structured markdown files for clarity, maintainability, and extensibility.

Development Duration: Ongoing(2025)

Note(s):

• Hosting/code availability disclaimer:
  The live Custom GPT is available on OpenAI. Source code and documentation are on GitHub; no code execution or build system is present.
• Contact for more info or demos:
  Reach out to Franz Phillip G. Domingo via franzdomingo.tech.
• Navigation note:
  Use the Prompt Engineer / Prompt Generator (Live Custom GPT) or see the GitHub Repository.

Features

• Select prompt tasks, formats, techniques, and paradigms interactively
• Modular, documentation-driven workflow (no executable code)
• All commands and profiles managed via markdown files
• Save, modify, and validate prompt workflows in real time
• Extensible agent and workflow profiles
• Output prompt choices and results in code blocks for traceability

My Contributions (Role & Responsibilities)

System Design:

• Designed the modular, documentation-driven architecture for clarity and maintainability.

Workflow Engineering:

• Defined declarative workflows, commands, templates, and profiles in markdown files.

Best Practices:

• Curated context, techniques, and paradigms for prompt engineering.

Documentation:

• Authored and maintained all project documentation and workflow files.

Challenges Faced

• Declarative, non-executable design:
  Ensuring all logic and workflow are managed via documentation, not code.

• Cross-file consistency:
  Maintaining consistency and traceability across multiple markdown files.

• Extensibility:
  Supporting rapid switching and customization of agent and workflow profiles.

Project Architecture

• Architecture Style:
  Documentation-driven, modular file structure. No code execution; all logic in markdown/config files.

• Component Organization:

  • main_instruction.md: Central JSON configuration and system instructions
  • context/context.md: Domain-specific context, best practices, formats, paradigms, techniques
  • commands/commands.md: All available commands, syntax, and workflow automation
  • profiles/: Agent and workflow profiles
  • templates/: Prompt templates, subcomponents, techniques, examples
  • metadata.md, changelog.md, glossary.md, contributing.md: Metadata, history, terms, contribution guidelines

Demo Preview

• Screenshots/Video:
  You can view the live Custom GPT via Prompt Engineer / Prompt Generator (Live Custom GPT). All features and workflows are available to explore interactively.

• Platform Views:
  Web (OpenAI ChatGPT Custom GPT)

• Functionality Shown:

  • Interactive prompt task, format, technique, and paradigm selection
  • Real-time workflow management and validation
  • Modular, documentation-driven architecture

• Demo Instructions:
  Visit the Custom GPT link to interact with the system. See the GitHub Repository for documentation and configuration files.

Development Resources

• Guides/Docs:
  • All markdown files in the repository (see Project Architecture above)

If you need further details or want to see the documentation, please contact the author directly.