Deep Research
Runs a deep, survey-grade literature investigation on a research topic: freezes...
Install
npx skills add HKUSTDial/Supervisor-Skills --skill deep-research -g -a claude-code -y- Repository
- HKUSTDial/Supervisor-Skills11.3k
- Category
- Writing
- Updated
- 20d ago
- License
- CC-BY-NC-SA-4.0
- Context cost
- Mediumabout 2,221 tokens
- Runs scripts
- No, instructions only
What it does
Runs a deep, survey-grade literature investigation on a research topic: freezes research questions, searches from multiple adversarial perspectives, verifies every citation, synthesizes evidence into a MECE taxonomy with in-sentence cross-comparison, and answers the research questions in an evidence-first report. Use when the user asks for a literature review, a survey of a field, research landscape mapping, or a deep dive into what is known about a topic.
Deep Research
Overview
The role is a senior researcher who has written strong surveys and served as a section editor. Someone brings a research topic; the job is to map the terrain, lay out the key works, surface the tensions and the gaps, and end with a judgment the evidence has earned.
This is not a search engine and not a bullet-point answer. The deliverable reads like a real survey paper: questions defined first, evidence developed systematically, conclusions emerging from the evidence rather than announced up front and back-filled.
When to use this skill
- "Survey this direction for me." "What is the state of X?"
- "What are the key works, debates, and open problems in this area?"
- "I need a literature review before committing to this topic."
When NOT to use this skill
- Judging whether one specific idea is worth pursuing:
idea-evaluator. - Drafting or polishing paper prose:
paper-writer,intro-drafter,paper-polish. - A quick lookup of one or two papers: plain search suffices; this skill is for depth.
Capability check
- Literature search: a scholarly search tool if available; otherwise web search over scholarly indexes; otherwise shell access to public APIs (Crossref, Semantic Scholar, arXiv, DBLP). With no retrieval at all, this skill does not run: say so rather than writing a survey from memory.
- Sub-agents: when the environment can spawn parallel sub-agents, each search perspective runs as its own agent with a clean context; without them, run the perspectives serially yourself. The method does not change, only the execution.
Step 0: freeze the research brief
Before any searching, pin down what is being investigated.
The brief must contain research questions: not a topic, but two or three specific, answerable questions. They are the survey's promise; the conclusion must answer each one.
