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Getting Started with Research Superpowers

Navigate a structured literature review workflow in Claude Code, from finding and screening papers to extracting results and following citations. Learn which related skills to use and how to organize findings, PDFs, and duplicate tracking.

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Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal

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适用场景

  • Find papers containing specific methods or results
  • Define relevance criteria before screening many papers
  • Follow references and citations to find related studies
  • Organize review findings, PDFs, and duplicate records

包含的文件(1)

  • SKILL.md5.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/kthorn/research-superpower 项目名称: research-superpower 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->

Getting Started with Research Superpowers

Research Superpowers gives Claude Code systematic workflows for literature searching and review.

Focus: Finding, screening, and extracting data from published papers. NOT for analyzing experimental data or designing experiments.

What You Can Do

Use these skills for systematic literature reviews:

  • Search literature - PubMed and Semantic Scholar integration
  • Build screening rubrics - Define and test relevance criteria collaboratively
  • Screen papers - Two-stage screening (abstract → deep dive) with scoring
  • Extract data - Find specific methods, results, measurements from papers
  • Traverse citations - Smart backward/forward citation following
  • Large-scale screening - Parallel subagent processing for 50+ papers
  • Track findings - Organized research sessions with summaries, PDFs, and deduplication

Available Skills

Literature Search & Review Skills (skills/research/)

  • answering-research-questions - Main orchestration workflow (search → screen → extract → synthesize)
  • building-screening-rubrics - Collaborative rubric design with test-driven refinement
  • searching-literature - PubMed search with keyword optimization
  • evaluating-paper-relevance - Two-stage screening (abstract → deep dive)
  • subagent-driven-review - Parallel screening for large searches (50+ papers)
  • checking-chembl - Check if medicinal chemistry papers have curated SAR data in ChEMBL
  • traversing-citations - Semantic Scholar citation network traversal
  • finding-open-access-papers - Unpaywall API to find free versions of paywalled papers
  • cleaning-up-research-sessions - Safe cleanup of intermediate files after research complete

Basic Workflow

When user asks a literature search question:

  1. Read answering-research-questions skill - Main orchestration
  2. Announce: "I'm using the Answering Research Questions skill"
  3. Parse query - Extract keywords, data types, constraints
  4. Create research folder - Propose name, initialize tracking
  5. Optional: Build rubric - For large searches (50+ papers), use building-screening-rubrics skill
  6. Search → Screen → Extract → Traverse - Follow the workflow
  7. Check in regularly - Every 10 papers, checkpoint every 50

Research Session Folders

Each query creates a folder in research-sessions/:

research-sessions/YYYY-MM-DD-query-description/
├── SUMMARY.md              # Main findings
├── papers-reviewed.json    # Deduplication tracking (DOI → status)
├── papers/                 # Downloaded PDFs and supplementary data
└── citations/              # Citation graph tracking

Core Principles

For systematic literature review:

  • Precision over breadth - Find papers with specific data you need, not just topical matches
  • Test-driven screening - Build and validate rubrics before bulk processing
  • Smart citation following - Only traverse relevant citations to avoid exponential explosion
  • Deduplicate aggressively - Track ALL reviewed papers by DOI (even non-relevant)
  • Cache abstracts - Save for re-screening when rubrics change
  • Report progress - Update user every 10 papers as work proceeds
  • Checkpoint frequently - Ask to continue or stop every 50 papers
  • Reproducible - Save rubrics, queries, and methodology with research sessions

API Information

PubMed E-utilities (no key required):

  • Search: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi
  • Details: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi
  • Full text: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi

Semantic Scholar (free tier works, optional key for higher limits):

  • Paper: https://api.semanticscholar.org/graph/v1/paper/DOI:{doi}
  • References: https://api.semanticscholar.org/graph/v1/paper/{id}/references
  • Citations: https://api.semanticscholar.org/graph/v1/paper/{id}/citations

Finding Skills

Use the find-skills script to search for relevant skills:

# From project directory
./scripts/find-skills              # List all skills
./scripts/find-skills literature   # Search for "literature"
./scripts/find-skills 'cite|ref'   # Regex search

Remember

  • Always start by reading the relevant research skill
  • Announce skill usage when you begin
  • Track everything in the research folder
  • Check in with user regularly during long searches
  • Deduplicate using papers-reviewed.json (DOI as key)

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同一仓库的技能

a1

免费

Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.

中文简介正在准备中。当前显示英语简介。

  • Turn a research topic into testable questions
  • Narrow an overly broad research question
  • Compare alternative research angles
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

a2

免费

Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.

中文简介正在准备中。当前显示英语简介。

  • Comparing theories for a research question
  • Deriving hypotheses from relationships between variables
  • Examining weaknesses and anticipated reviewer objections
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

a5

免费

Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.

中文简介正在准备中。当前显示英语简介。

  • Clarifying philosophical foundations for a research proposal
  • Explaining why the chosen research methods fit the study
  • Drafting a statement about the researcher's position
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

Plan and draft academic papers through specialized agent roles covering literature, arguments, citations, and review. Get chapter guidance, revision roadmaps, Traditional Chinese and English abstracts, and documents formatted as LaTeX, DOCX, PDF, or Markdown.

中文简介正在准备中。当前显示英语简介。

  • Planning a paper chapter by chapter
  • Drafting a paper from research materials
  • Turning reviewer comments into a revision roadmap
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

Turn a detailed outline into a philosophy or interdisciplinary manuscript. Draft chapters with repeated quality reviews, check terminology and arguments across sections, and prepare the manuscript, evaluation reports, abstract, and metadata for submission.

中文简介正在准备中。当前显示英语简介。

  • Draft a full paper from a detailed outline
  • Review argument and citation quality chapter by chapter
  • Check terminology and argument flow across chapters
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

中文简介正在准备中。当前显示英语简介。

  • Review a manuscript before journal submission
  • Examine research methods and statistical validity
  • Challenge core arguments and alternative explanations
brycewang-stanford/Auto-Empirical-Research-Skills47552026年10月20日 更新

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