pro-search

Retrieve scientific papers via papercli and generate a findings.md evidence report.

11|1|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/jimezsa/opencolab --skill pro-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pro-search
Source: https://github.com/jimezsa/opencolab/tree/main/projects/SKILLS/pro-search
Command: npx skills add https://github.com/jimezsa/opencolab --skill pro-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Pro Search Skill enables rigorous, repeatable literature synthesis by automating search, retrieval, and structured evidence tracking from papers.

Core Features & Use Cases

  • Multi-pass search with canonical, method-centric, and trend queries using papercli.
  • Automated metadata extraction, PDF download, and integrated findings template.
  • Use Case: A researcher compiles a 12-paper evidence base on a topic and generates a detailed findings.md with citations and a literature-map.

Quick Start

Run canonical, method-centric, and trend searches for your topic with papercli and save results to the research directories.

Frequently Asked Questions about pro-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate literature synthesis with evidence tracking from scientific papers?

Literature synthesis is automated by running multi-pass searches using papercli to retrieve papers, extracting metadata, downloading PDFs, and generating a findings.md report with an evidence matrix and literature map. This enforces explicit citations for all non-trivial claims.

What is the best way to build a reproducible evidence base for research papers?

A reproducible evidence base is built by operating within a defined research frame, storing raw metadata and PDFs locally, and using canonical, method-centric, and trend queries. This maintains a reproducible workflow for future updates.

How do I generate a findings report with a literature map and evidence matrix?

Generate a findings report by compiling retrieved scientific papers into a findings.md template. The skill automatically integrates an evidence matrix and literature map while ensuring PDFs are downloaded when available.

Do I need papercli to retrieve scientific papers and download PDFs locally?

Yes, papercli is required to identify and retrieve scientific papers across canonical, method-centric, and trend queries. It facilitates the automated metadata extraction and local PDF downloads needed for the comprehensive evidence-backed findings report.

Can I use this literature synthesis approach for a specific research frame and update it later?

Yes, the skill operates within a defined research frame to structure your literature synthesis. It maintains a reproducible workflow that allows you to easily update your evidence base and findings report as new research becomes available.