博士生花费数周时间进行文献调查。大部分时间是管道工作——寻找论文、提取主张、交叉比对术语、构建对比表、追踪引用链。重要的智力工作——发现共同假设、找出其破绽、识别无人利用的空白——虽然工作量的一小部分，但只有在学生已经因物流疲惫后才会完成。

这项技能将管道工作卸给机器。NotebookLM接收你的论文，并返回带有精确引用的基础提取结果。Claude Code管理工作流程——结构化查询、模板填充、阅读深度追踪。你专注于构建假设、决定什么重要，并构建叙事。这项技能不仅节省时间;它让你更敏锐。每一个检查点——校准协议、WYSIATI检查、基本原理分解——都迫使你表达理解，并正视不足之处。

此文面向谁： 博士生和研究人员进行10-150+篇论文的文献调查。针对系统和网络（SIGCOMM、NSDI、CoNEXT、IMC）进行调校，但可适应任何领域——参见“定制你的领域”。

literature-survey-skill

PhD students spend weeks on literature surveys. Most of that time is plumbing — finding papers, extracting claims, cross-referencing terminology, building comparison tables, chasing citation chains. The intellectual work that matters — spotting shared assumptions, finding where they break, recognizing the gap nobody has exploited — takes a fraction of the effort but only happens after the student is already exhausted from logistics.

This skill offloads the plumbing to the machine. NotebookLM ingests your papers and returns grounded extractions with exact quotes. Claude Code manages the workflow — structured queries, template population, reading-depth tracking. You focus on forming hypotheses, deciding what matters, and building the narrative. The skill doesn’t just save time; it makes you sharper. Every checkpoint — calibration protocols, WYSIATI checks, first-principles decomposition — forces you to articulate your understanding and confront where it falls short.

Who this is for: PhD students and researchers running literature surveys of 10-150+ papers. Tuned for systems and networking (SIGCOMM, NSDI, CoNEXT, IMC) but adaptable to any field — see Customize for Your Field.

Built on Claude Code.

Quick Start

git clone https://github.com/SNL-UCSB/literature-survey-skill.git
cd literature-survey-skill
./setup.sh

This installs the skill to ~/.claude/skills/survey/. Four commands become available:

/survey intent     — Capture your goals, expertise, and survey archetype
/survey triage     — Map the landscape, prioritize reading depth
/survey deepen     — Structured deep reading with craft and visualization extraction
/survey synthesize — Cross-paper analysis for your deliverable
/survey expand     — Propose and evaluate corpus growth

Start with /survey intent. The skill guides you from there.

Prerequisites

The NotebookLM MCP CLI must be configured as an MCP server in your Claude Code setup. Follow the setup guide — it covers installation, Google authentication, and MCP registration in ~5 minutes.

Manual Install

Copy SKILL.md to ~/.claude/skills/survey/SKILL.md. Copy reference/ and templates/ alongside it.

How Each Mode Works

Intent — “What are you trying to learn?”

The skill captures your goals, expertise level, and success criteria before any paper is read. It assigns one of four survey archetypes with calibrated defaults: