PPQS
WILD CORPUS · reddit

PQS 26 (F) - prompt from www.reddit.com

Source: www.reddit.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

F
26 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity8 / 10
Specificity4 / 10
Context7 / 10
Constraints2 / 10
Output format1 / 10
Role definition1 / 10
Examples2 / 10
CoT structure1 / 10

The prompt

Hey AI enthusiasts! 👋

I just released PromptPro, a developer-friendly tool designed to completely transform how you manage, version, and organize AI prompts. Whether you're a prompt engineer, AI developer, or just someone obsessed with clean, efficient prompt workflows, this is for you.

**Why PromptPro?**

- 🏷️ Automatic Versioning – Every change to your prompt is tracked. No more messy JSON/YAML chaos.
- 🔐 Secure Vaults – Optional password-encrypted storage for sensitive prompts.
- 💻 Beautiful TUI – Navigate your prompts effortlessly in the terminal.
- ⚡ Blazing Fast – Powered by Rust 🦀 for lightning-fast performance.
- 🌐 Polyglot Support – Works out-of-the-box with Python and Rust, any language, any project.

Quick Start
pip install promptpro

Python Example
from promptpro import PromptManager

pm = PromptManager.get_singleton("promptpro.vault", "")
prompt = pm.get_prompt("pc_operator_v2", "dev")
print(prompt)

Rust API also provided!

**Key Features**

- 🔄 Automatic versioning
- 🏷️ Smart tagging (dev, stable, release, custom tags)
- 📦 Backup & restore with optional encryption
- 📝 Rich history tracking with timestamps and notes
- 🛠️ CLI & API support for developers

**Why You’ll Love It**

- Track prompt evolution during experiments
- A/B test variations seamlessly
- Manage production vs. experimental prompts
- Share and sync prompt collections securely

PromptPro is available on PyPI and Cargo, or you can build it from source.

Check it out here: https://github.com/lucasjinreal/promptpro

Built with ❤️ for the AI dev community. Let me know your thoughts or feature requests!

https://github.com/lucasjinreal/promptpro

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.