SuperAPI AI Directory

literature-review

Writing & research

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Updated 10-16 10:50

About this skill

Systematic Literature Review

Applicable: New research project | Pre-Introduction investigation | Systematic review | PICO clinical question Not applicable: Quick lookup of one paper → directly search_literature | Only need organization → format_references


Tool Quick Reference

pubmed-search MCP

Category Tool Description
Search search_literature Basic PubMed search
generate_search_queries MeSH + synonym materials
parse_pico Parse PICO clinical question
merge_search_results Merge and deduplicate
Explore find_related_articles / find_citing_articles / get_article_references Citation network
get_citation_metrics iCite RCR ranking
Full text get_fulltext(pmcid) Obtain OA full text
analyze_fulltext_access(pmids) Confirm OA status
Session get_session_pmids / get_session_summary Retrieve search results
Export prepare_export RIS/BibTeX

asset-aware-mcp (full-text parsing)

Category Tool Description
Parse ingest_documents(file_paths) Structured PDF parsing (dual engine)
parse_pdf_structure(file_path) Marker high-precision parsing
Status get_job_status(job_id) Track asynchronous processing progress
Browse inspect_document_manifest(doc_id) Get complete asset list
list_section_tree(doc_id) Document section structure
Extract get_section_content(doc_id, section_path) Get specific section content
fetch_document_asset(doc_id, asset_type, asset_id) Get assets such as figures and tables
Knowledge graph consult_knowledge_graph(query) Cross-document RAG query

mdpaper save literature

Method Description
save_reference_mcp(pmid) ✅ Always preferred MCP-to-MCP validation
save_reference(article) ⚠️ FALLBACK only when API unavailable

Workflow

  1. Environment preparation — project_action(action="current") + read .memory/activeContext.md
  2. Search strategy — General topic:generate_search_queries(topic) → PICO question:parse_pico() → parallel generate_search_queries() each element
  3. Parallel search — multiple sets of search_literature() called simultaneously → merge_search_results()
  4. Evaluate and expand — <20 papers expand_search_queries() | Citation network find_citing/related/references | get_citation_metrics(sort_by="relative_citation_ratio")
  5. Screen and save — Present list (title/year/journal/RCR) → save_reference_mcp(pmid)
  6. Full-text reading ⭐ — For each saved paper: a. analyze_fulltext_access(pmids) → Confirm which have full text available b. Those with full text:get_fulltext(pmcid) or download PDF → asset-aware ingest_documents(file_paths) → get_job_status() → inspect_document_manifest() → get_section_content(doc_id, "Methods") / get_section_content(doc_id, "Results") c. Those without full text: record in metadata.json fulltext_ingested: false + reason d. Produce references/fulltext-ingestion-status.md summary table e. Principle: For papers whose full text has not been read, subsequent writing may only cite the abstract's conclusions, and must not cite specific methods or data
  7. Subagent analysis ⭐⭐ — Each paper undergoes structured analysis by an independent subagent (to prevent context contamination): a. get_reference_for_analysis(pmid) → Obtain the paper's structured full-text package (abstract + fulltext, ≤30K char) b. runSubagent Launch an independent subagent; the prompt must include:
    • The complete full-text content from step a
    • Analysis task: write a structured summary, assess methodological quality, list key findings and limitations, and determine which sections of the article's Introduction/Methods/Results/Discussion they can be used in.
    • Instruct the subagent to finally call save_reference_analysis(pmid, summary, methodology, key_findings, limitations, usage_sections, relevance_score) c. After the Subagent completes:analysis.json has been written to the reference directory, with metadata marked analysis_completed: true d. Principle: The main Agent's subsequent writing only uses analysis_summary, and no longer re-reads the full text e. Gate: All cited references must pass analysis (Pipeline Gate Phase 2.1 + Hook C10 mandatory check)
  8. Export — format_references() + prepare_export(format="ris")
  9. Update memory — write .memory/activeContext.md(progress + key references + full-text reading status + analysis status + observation notes)

Decision point

Timing Choice
Create a project or explore? Explore and get familiar with the literature first
Keywords or PICO? Use PICO for comparative questions
Number of results 50-300 continue, <20 expand, >500 narrow
Screening method <30 one by one, >30 use RCR ranking