AgentSkillsCN

Getting Started with Research Superpowers

文献检索与综述技能入门——系统性论文查找、筛选、提取和引用遍历

SKILL.md
--- frontmatter
name: Getting Started with Research Superpowers
description: Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal
when_to_use: At start of each Claude Code session. When user asks literature search questions. When searching scientific literature. When reviewing papers or citations.
version: 1.1.0

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/:

code
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:

bash
# 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)