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Systematic prompt engineering methods for AI-assisted academic research workf...
Passed 17 of 23 test cases with the skill, and 11 of 23 without it.
and 8 more in the full report
7 fixed11 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the initial step in a 6-step research chain-of-thought prompt structure for analyzing empirical data?
| Checked | Without skill | With skill |
|---|---|---|
| Step 1 requires identifying key variables and their relationships. | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for applying systematic prompt engineering techniques in academic research contexts. Covers prompt design patterns, evaluation methodologies, and practical workflows for using large language models (LLMs) as research tools.
| Strategy | Description | Best For | Reliability |
|---|---|---|---|
| Zero-shot | Direct instruction, no examples | Simple, well-defined tasks | Moderate |
| Few-shot | Include 2-5 examples in prompt | Pattern matching, formatting | High |
| Chain-of-thought | "Think step by step" | Reasoning, math, analysis | High |
| Role prompting | "You are an expert in..." | Domain-specific tasks | Moderate |
| Structured output | Request JSON/YAML/table format | Data extraction | High |
| Self-consistency | Sample multiple times, majority vote | Fact-checking, reasoning | Very high |
def create_research_prompt(task_type: str, context: dict) -> str:
"""
Generate a structured prompt for common research tasks.
Args:
task_type: One of 'literature_summary', 'methodology_critique',
'code_review', 'data_interpretation', 'writing_feedback'
context: Dict with task-specific context
"""
templates = {
'literature_summary': """
You are an academic researcher specializing in {domain}.
Summarize the following paper excerpt, focusing on:
1. The research question and its significance
2. The methodology used
3. Key findings and their implications
4. Limitations acknowledged by the authors
5. How this work relates to {related_topic}
test cases passed, vs 11 / 23 without
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