Automate structured analysis and synthesis of research paper corpora using NotebookLM.
npx skills add https://github.com/SNL-UCSB/literature-survey-skill --skill survey-snl-ucsb
Please help me install this Agent Skill. Skill: survey Source: https://github.com/SNL-UCSB/literature-survey-skill/tree/main Command: npx skills add https://github.com/SNL-UCSB/literature-survey-skill --skill survey-snl-ucsb
This Skill solves the operational exhaustion of academic literature surveys by automating paper ingestion, claim extraction, and cross-referencing, allowing researchers to focus on hypothesis formation and narrative construction.
Run the survey intent command to begin capturing your research goals and survey archetype.
High-intent search queries and answers about installing and using this skill.
Automated literature survey analysis uses a structured workflow to ingest papers, extract claims, and cross-reference dependencies. This Skill maps a large corpus by guiding you through Intent, Triage, Deepen, and Synthesize modes to prevent cognitive biases.
Yes, grounded citation extraction requires the NotebookLM MCP CLI configured as an MCP server within your Claude Code environment. It acts as a query backend to ensure all extracted claims are backed by exact quotes and citations from the source papers.
Mapping cross-paper dependencies and research gaps is achieved through first-principles decomposition and structured synthesis modes. The Skill tracks dependencies across papers and generates a structured gap analysis, allowing you to focus on hypothesis formation and narrative construction.
Yes, this academic synthesis workflow is designed for PhD area exam preparation and similar scale demands. It handles a 100-paper corpus by mapping the landscape, identifying fundamental design invariants, and generating gap analysis in a fraction of the usual time.
Start a structured literature review by running the survey intent command to capture your research goals and survey archetype. This initiates the structured analysis workflow, automating paper ingestion and claim extraction to eliminate operational exhaustion.
AI-driven literature reviews rely entirely on the NotebookLM backend and the ingested corpus for grounded analysis. The approach prevents anchoring biases during synthesis but requires proper MCP server configuration and cannot generate hypotheses beyond the provided papers.
arisngConfigure GitHub Copilot CLI MCP servers in mcp-config.json.
genesis-agentsMerge research outputs into a structured fact table and reconciliation report.
moonshineTPVerify paper citations by cross-referencing title, author, venue, year, and URL.
xcrrrSynthesize academic literature into a structured thematic review with research gaps.
