Research Briefing

Use this skill when a user wants a high-signal research briefing grounded in the hosted papersflow-mcp server.

Workflow

1. Resolve the user's target topic, title, DOI, or seed paper.
2. Start with search_literature for broad discovery.
3. Use verify_citation when the user gives a citation string, DOI, URL, PubMed ID, arXiv ID, or uncertain bibliographic reference.
4. Use findrelatedpapers when the user wants nearby work around a seed paper.
5. Use getcitationgraph when the user wants a graph view with references, incoming citations, and optionally similar papers.
6. Use getpaperneighbors when the user wants a one-hop grouped view instead of a graph-first view.
7. Use expandcitationgraph only after you already have seed node ids from a previous graph result.
8. Use fetch when the user wants a richer single-paper record after search or graph exploration.

Output Style

• Prefer short grouped sections over long prose.
• Include paper titles, years, identifiers, and why they matter.
• If the user asked for a graph-oriented answer, explicitly distinguish:

- references - later citations - similar papers

• If the graph result looks noisy, say so instead of pretending the neighborhood is authoritative.

Tool Guidance

Use search_literature

Use for:

• topic exploration
• early-stage paper discovery
• short lists of candidate seed papers

Use verify_citation

Use for:

• checking a citation string
• normalizing a DOI or paper URL
• producing a reliable paper identifier before deeper exploration

Use getcitationgraph

Use for:

• seed-centered graph exploration
• showing how a paper connects to prior and later work

Prefer this when the user explicitly asks for a graph, network, map, or influence chain.

Use getpaperneighbors

Use for:

• concise grouped neighbors
• "show me the references / citations / similar papers" requests

Prefer this over the graph tool when the user cares more about grouped lists than graph structure.

Use expandcitationgraph

Use only when:

• you already have valid node ids from a previous graph result
• the user wants to grow the graph one hop farther

Do not guess node ids.

Examples

• User asks: "Find five strong papers on retrieval-augmented generation evaluation and tell me which one to start with."
• User asks: "Verify this citation and give me a normalized version."
• User asks: "Show me the citation graph around Attention Is All You Need."
• User asks: "Expand the graph from these two node ids and tell me where the important branches are."