📋 Evaluating Paper Relevance

2installs

This skill applies a two-stage abstract screening and deep-dive extraction to identify papers with the exact data and methods you need.

QUICK INSTALL
npx playbooks add skill kthorn/research-superpower --skill evaluating-paper-relevance

About 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.

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

Get started Help me use the Evaluating Paper Relevance skill effectively.

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.

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