deep-research

Original：🇺🇸 English
Translated

Research a topic in depth using web search, academic papers, and citation graphs. Use when the user asks to research, investigate, or explore a topic thoroughly.

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Sourcecollaborative-deep-research/agent-papers-cli
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NPX Install

npx skill4agent add collaborative-deep-research/agent-papers-cli deep-research

Tags

Translated version includes tags in frontmatter
research-workflowpaper-cli-toolacademic-researchcitation-analysisliterature-synthesis

SKILL.md Content

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Research "$ARGUMENTS" in depth using the 
paper
and 
paper-search
CLI tools. Follow this workflow:

1. Broad Discovery

Start with broad searches to map the landscape:
paper-search google web "$ARGUMENTS"
paper-search semanticscholar papers "$ARGUMENTS" --limit 10
Scan titles, snippets, and citation counts. Identify the most relevant papers and key terms.

2. Narrow and Filter

Refine based on what you found:
paper-search semanticscholar papers "<refined query>" --year 2023-2025 --min-citations 10
paper-search semanticscholar snippets "<specific question>"
paper-search pubmed "<query>"   # if biomedical

3. Deep Read

For the most relevant papers (at least 3-5), read in depth:
paper outline <arxiv_id>           # understand structure first
paper skim <arxiv_id> --lines 3    # quick overview
paper read <arxiv_id> <section>    # read key sections
For web sources:
paper-search browse <url>

4. Follow the Citation Graph

For key papers, explore their context:
paper-search semanticscholar citations <paper_id> --limit 10    # who cites this?
paper-search semanticscholar references <paper_id> --limit 10   # what does it build on?
paper-search semanticscholar details <paper_id>                  # full metadata

5. Synthesize

Combine findings into a structured report with:
  • Key findings and themes
  • Areas of agreement/disagreement
  • Gaps in the literature
  • Citations for all claims (include paper titles and URLs)
  • BibTeX entries for key papers (use 
    paper bibtex <arxiv_id>
    to generate)

Guidelines

  • Always start broad, then narrow. Don't read deeply until you've scanned widely.
  • Read at least 3-5 primary sources before synthesizing.
  • Cross-reference web sources against academic papers when possible.
  • Use 
    paper-search semanticscholar snippets
    to find specific evidence for claims.
  • Track what you've already searched/read to avoid redundancy.
  • If a search returns arxiv papers, use 
    paper read
    to get the full text rather than just the snippet.