prompt-engineering-research
Systematic prompt engineering methods for AI-assisted academic research workf...
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill prompt-engineering-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Prompt Engineering for Research 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. ## Prompt Design Patterns ### Core Prompting Strategies | Strategy | Description | Best For | Reliability | |----------|------------|-
What does the prompt-engineering-research skill do?
Systematic prompt engineering methods for AI-assisted academic research workf...
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill prompt-engineering-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.