skills.rest
HsunGong
HsunGongCOMMUNITY
Explore all skills by this author →
GitHub

generate-user-requests

Convert rich captions into structured persona-based stage-1 user requests.

Updated Jan 16, 2026
Search Tags:#education#prompts#generate#prompt-engineering#ai-training#user-requests#data-creation
One-click install
npx skills add https://github.com/HsunGong/prep --skill generate-user-requests
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-user-requests
Source: https://github.com/HsunGong/prep/tree/main/.github/skills/generate-user-request
Command: npx skills add https://github.com/HsunGong/prep --skill generate-user-requests

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps educators and AI trainers quickly convert rich captions into structured stage-1 user requests, saving time and ensuring consistency across prompts.

Core Features & Use Cases

  • Generate realistic and imaginary stage-1 user requests from descriptive captions.
  • Produce standardized prompts with a consistent persona for training data and evaluation.
  • Use Case: Educator creates prompts for classroom scenarios or synthetic datasets for prompt-engineering experiments.

Quick Start

Run the sft_generate_user_requests.py script on your caption input to produce the resulting stage1_user_requests.jsonl file.

Frequently Asked Questions about generate-user-requests

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert descriptive captions into structured prompts for AI training?▼

This Skill generates stage-1 user requests by transforming rich captions into standardized, persona-based structured prompts for AI training workflows and prompt engineering experiments.

What is the best way to generate persona-based prompts for synthetic datasets?▼

Generating persona-based prompts for synthetic datasets is best handled by scripts that standardize rich captions into stage-1 user requests, ensuring consistency across your educational and model evaluation materials.

How do I create stage-1 user requests from captions using a Python script?▼

To create stage-1 user requests from captions, run the provided Python script on your caption input to process the text and output the resulting structured user requests in JSONL format.

Can I use this prompt generation Skill for classroom scenario learning materials?▼

Yes, you can use this prompt generation Skill for classroom scenario learning materials, as it is specifically designed to help educators create realistic and imaginary stage-1 user requests for educational workflows.

Do I need any external dependencies to generate standardized user requests?▼

No external dependencies are required to generate standardized user requests, as the Skill operates independently to transform your descriptive captions into ready-to-use, persona-based prompts for data curation.

Related Skills

Explore More Education & Research Skills→
LeooooooowLeooooooow
7

video-caption-burner

Bake existing captions into video exports with readability checks.

Community
Intermediate
theandyalvarez7-rubytheandyalvarez7-ruby

senior-data-scientist

Design and evaluate production-grade ML experiments with reproducible configurations.

Community
Advanced
ricablericable
1

ruvector-agentic-synth

Generates synthetic data for AI/ML training, RAG evaluation, and agentic workflow testing.

Community
Intermediate
JNZaderJNZader

llm-evaluation

Automate LLM output evaluation with BLEU, ROUGE, BERTScore, and judge prompts.

Community
Advanced