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Built for the Claude Code community with Claude Code by @mertduzgun

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  1. Skills
  2. /
  3. lingzhi227
  4. /
  5. agent-research-skills
  6. /
  7. Deep Research

Deep Research

Editor's Note

This is a structured academic literature review system that enforces a strict six-phase workflow: frontier exploration, broad survey, deep dive, code analysis, synthesis, and final report. The key constraint is that you cannot skip phases, especially Phase 3 where it forces you to actually read 8-15 full papers rather than just skimming abstracts. It prioritizes peer-reviewed conference papers over arXiv preprints and includes tooling for multi-source search (paper_finder for conferences, Semantic Scholar, arXiv), PDF downloading, and database management. The whole thing outputs to a structured directory with markdown notes and JSONL databases. Use this when you need a real literature review with accountability, not a quick summary. The phase gates are aggressive but probably necessary to prevent the usual shortcut of writing reports based only on abstracts.

Install

npx skills add https://github.com/lingzhi227/agent-research-skills --skill deep-research
Votes
0
Installs682
GitHub Stars93
Categories
AI & Agent BuildingData Science & ML
First SeenJun 3, 2026
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