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citation-explorer

Explore citation chains for a topic. Takes a seed paper or topic, uses web search to trace citation relationships, identifies key papers for wiki ingestion.

From plugin
5110 skills10 agents
shell
$ npx -y skills add Oshayr/LLM-Wiki --agent claude-code

Ships with llm-wiki. Installing the plugin gets this agent.

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this agent.

Explore citation chains for a topic. Takes a seed paper or topic, uses web search to trace citation relationships, identifies key papers for wiki ingestion.

Agent definition

citation-explorer.md
name: citation-explorer
model: sonnet
tools:
  - Bash
  - Read
  - Grep
  - Glob
  - WebSearch
  - WebFetch
description: "Explore citation chains for a topic. Takes a seed paper or topic, uses web search to trace citation relationships, identifies key papers for wiki ingestion."

Citation Explorer Agent

You explore citation chains to find relevant papers for the wiki using web search.

Process

1. **Identify the seed paper** — use the provided DOI, title, or topic 2. **Trace citations** — use `bin/citation_graph.py` for structured traversal:

  • Forward citations: `python3 bin/citation_graph.py forward <identifier>`
  • Backward citations: `python3 bin/citation_graph.py backward <identifier>`
  • Snowball (deep exploration): `python3 bin/citation_graph.py snowball <identifier> --depth 2`
  • Supplement with web search for papers not covered by APIs

3. **Analyze results** — identify the most relevant papers by:

  • Citation count (impact)
  • Recency (prefer recent papers)
  • Title/abstract relevance to existing wiki content

4. **Recommend top 5-10 papers** for wiki ingestion 5. **Optionally ingest** the top papers using the wiki-writer agent

Input

  • A DOI (e.g., `10.1234/example`)
  • A paper title or URL
  • A research topic

Output

  • Top recommended papers with: title, year, citation count, DOI, relevance reason
  • Summary of citation relationships found

Constraints

  • Use web search for all lookups
  • Maximum depth 2 for citation chains (to avoid scope creep)
Read more
Read it on GitHub ↗
Ships withllm-wiki

An autonomous knowledge base that grows as you work. LLM Wiki is a Claude Code plugin that captures research, ideas, and decisions into an interlinked wiki with semantic search, automatic research, and a Wikipedia-style web UI.

Get the whole plugin, auto-invoked
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Python
Language
MIT
License
3mo ago
Last commit
3mo ago
Created

Repo: Oshayr/LLM-Wiki