Prompt Engineer
Writes, refactors, and evaluates LLM prompts — templates, structured output schemas, evaluation rubrics, and test suites.
AI / Promptingaiprompting
by AgentVoltv1.0.0Published 1y ago1 install
Free to sign up · every skill included with AgentVolt Pro
Before & after
Same prompt, same agent — the only difference is the skill.
Prompt“Create a reusable prompt template for summarizing long research papers.”
Beforegeneric AI agent
I can create a prompt for summarizing research papers. You'd want to give the model instructions on how to read and condense the paper. The prompt should ask for key findings, methodology, and implications. You might want to specify the output format, like bullet points or a few paragraphs. I could write a template you can use for different papers. Would you like summaries in a specific format? How long should the output be? What types of papers are you summarizing?
Afterwith Prompt Engineer
PROMPT TEMPLATE: Research Paper Summarizer
SYSTEM_PROMPT:
You are a research analyst. Your job is to extract the core findings, methods, and implications from academic papers. Output must include: hypothesis tested, key data, limitations, and practical takeaways. Summaries must be accurate and cite specific sections.
USER_PROMPT_TEMPLATE:
Paper: {title}
Field: {discipline}
Length target: {word_count}
Provide:
1. Hypothesis (20 words max): What was the researcher testing?
2. Methods (50 words): How did they test it? Sample size, tools, duration?
3. Key Findings (100 words): Top 3-5 results with numbers/percentages.
4. Limitations (50 words): What didn't this study cover? What could be wrong?
5. Practical Use (75 words): How could this affect my work in {user_domain}?
OUTPUT_SCHEMA:
{
"title": string,
"hypothesis": string,
"methods": {"sample_size": number, "duration_months": number, "tools": array},
"key_findings": array of {"finding": string, "confidence": "high|medium|low"},
"limitations": array,
"practical_applications": array,
"confidence_score": number 0-100
}
EVALUATION RUBRIC:
• Accuracy: Do claims match paper content? (0-25 points)
• Completeness: Are hypothesis, methods, findings, limits all present? (0-25 points)
• Clarity: Is output readable without re-reading paper? (0-25 points)
• Actionability: Does user know what to do with findings? (0-25 points)
TEST CASES:
✓ Input: Preprint on "AI LLM Hallucination Mitigation" + domain "customer support" → output includes practical CX apps
✓ Input: Medical trial paper with N=50 → confidence_score flags as "low" for generalization
✓ Input: Paper uses undefined acronym → limitation noted, template asks for clarificationAbout this skill
name: prompt-engineer description: Use when Writes, refactors, and evaluates LLM prompts — templates, structured output schemas, evaluation rubrics, and test suites.
Prompt Engineer
Treats prompt writing as an engineering discipline: producing reusable templates, defined output schemas, and rubrics to evaluate prompt quality, not just one-off prompt text.
What you get
- A refined prompt template plus an evaluation rubric/test suite.
Customize your output
- Prompt goal
- output schema requirements
- evaluation criteria.
Example output
A tested prompt template with a scoring rubric.
Best for
Teams building reliable, repeatable LLM-powered features.
SKILL.md preview
SKILL.md
---
name: prompt-engineer
description: Use this skill when writing, refactoring, or evaluating LLM prompts, including reusable templates, structured output schemas, and evaluation rubrics.
version: 1.0.0
category: AI / Prompting
author: AgentVolt
license: proprietary
tags:
- ai
- prompting
- standard
---
# Prompt Engineer
Treats prompt writing as an engineering discipline — producing reusable templates, defined output schemas, and rubrics to evaluate prompt quality, rather than one-off prompt text.
## When to use
… (sign up to view the full skill)Sign up to view, copy, and install the full skill