lamm-mit/skills/research-collect

Literature Survey Workflow Summary

This document describes research-collect, a CLI skill for conducting systematic literature surveys. Here are the key components:

Purpose

Automate paper discovery, filtering, and organization to support downstream research skills.

Five-Phase Workflow

Phase 1 (Prep): Generate 4-8 search terms and establish directory structure.

Phase 2 (Search Loop): For each term:

• Query arXiv with arxiv_search
• Score results (1-5 scale); retain ≥4
• Download relevant papers
• Store metadata in papers/_meta/{id}.json

Phase 3 (Code References):

• Identify top 5 papers (score ≥4)
• Search GitHub using paper titles + keywords
• Clone 3-5 repositories to repos/
• Document selections in prepare_res.md

Phase 4 (Organization): Cluster papers into 3-6 research directions; organize into papers/{direction}/ folders based on metadata analysis.

Phase 5 (Reporting): Generate survey/report.md with summary, directions, top papers, and recommended reading order.

Key Principles

• Incremental processing prevents context bloat
• Metadata-driven classification using JSON files
• File structure directly mirrors categorization

Available Tools

• arxiv_search: Query papers
• arxiv_download: Retrieve documents
• github_search: Find reference repositories