SNL-UCSBSNL-UCSBOfficialยท1 Agent Skills Included

literature-survey-skill

Structured literature surveys with grounded paper extraction and synthesis

Automates the heavy logistics of academic literature surveys, from paper ingestion and claim extraction to comparison tables and citation tracking. Eliminates manual cross-referencing, messy notes, and slow reading workflows across 10 to 150+ papers. Guides researchers through intent capture, triage, deep reading, and synthesis so they can focus on spotting gaps and building strong arguments.
npx skills add SNL-UCSB/literature-survey-skill --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install literature-survey-skill?โ–ผ

Run `npx skills add SNL-UCSB/literature-survey-skill --all -g -y` in your terminal to install the skill globally. You also need the NotebookLM MCP CLI configured as a backend, which takes about five minutes using the included setup guide.

How to speed up a literature review?โ–ผ

This skill offloads the plumbing of a survey: it ingests papers into NotebookLM, extracts claims with exact quotes, builds landscape maps, and prioritizes which papers deserve deep reading. You focus on forming hypotheses and spotting research gaps instead of chasing citations.

Who is this literature survey skill for?โ–ผ

It is built for PhD students and researchers running surveys of 10 to 150+ papers. It is tuned for systems and networking venues like SIGCOMM and NSDI but adapts to any research field.

Does it work with Claude Code?โ–ผ

Yes. The skill runs inside Claude Code and uses NotebookLM as a grounded query backend, while all your notes and synthesis files stay in local markdown files you fully control.

Can I use the templates without the skill?โ–ผ

Yes. The reading note, triage, and synthesis templates work standalone in Obsidian or any markdown editor, and the writing craft and figure analysis guides are useful for lab reading groups.

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