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
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.
This skill applies a two-stage abstract screening and deep-dive extraction to identify papers with the exact data and methods you need.
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.
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.
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.
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.
Weekly roundup of top Claude Code skills, MCP servers, and AI coding tips.