📋 Evaluating Paper Relevance
This skill applies a two-stage abstract screening and deep-dive extraction to identify papers with the exact data and methods you need.
npx playbooks add skill kthorn/research-superpower --skill evaluating-paper-relevance
About Evaluating Paper Relevance
The Evaluating Paper Relevance skill applies a two-stage process of abstract screening and deep-dive extraction to identify papers that contain the exact data and methods a developer needs, enabling them to efficiently find relevant research. This skill is useful when a developer is conducting research or looking for specific data and methods to inform their coding work. It streamlines the process of searching through papers to find the most relevant information.
The 21-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (21 words)
This skill applies a two-stage abstract screening and deep-dive extraction to identify papers with the exact data and methods you need.
Frequently Asked Questions
What is Evaluating Paper Relevance?
Evaluating Paper Relevance is a free developer workflow skill for AI coding agents. This skill applies a two-stage abstract screening and deep-dive extraction to identify papers with the exact data and methods you need.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Evaluating Paper Relevance with Claude Code?
Run npx playbooks add skill kthorn/research-superpower --skill evaluating-paper-relevance in your terminal to install Evaluating Paper Relevance into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Evaluating Paper Relevance?
Evaluating Paper Relevance is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Evaluating Paper Relevance free to use?
Yes, Evaluating Paper Relevance is completely free and open source. The full source is available on GitHub at https://github.com/kthorn/research-superpower/tree/main/skills/research/evaluating-paper-relevance. You only need a subscription to the AI agent you use it with.
