Individual skill
multi-database-literature-collector
Collects candidate biomedical literature across multiple databases, adapts search logic by database, preserves source metadata, and organizes results into a structured, screening-ready candidate pool. Always use this skill when a user wants cross-database literature collection, search strategy construction, candidate paper aggregation, or first-pass evidence organization before deduplication, screening, layered reading, or review planning. Requires real and verifiable literature records only. Every formal literature item must include a real link and DOI when available; never fabricate citations, titles, authors, years, journals, abstracts, PMIDs, or DOIs. If a DOI is unavailable or cannot be verified, state that explicitly rather than inventing one.
awesome-med-research-skills/Evidence Insight/multi-database-literature-collector/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- Observed behavior
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- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,043
- Repository last updated
- Sep 17, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
- data Derived category
- data-databases Derived category
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Browse files
SKILL.mdcore · 13,014 bytesSKILL.mdcore · 13,014 bytesSKILL.mdcore · 13,014 bytesSKILL.mdcore · 13,014 bytesSKILL.mdcore · 13,014 bytesSKILL.mdcore · 13,014 byteseval_report_multi-database-literature-collector_result.jsonasset · 21,657 bytesreferences/database-adaptation-rules.mddoc · 789 bytesreferences/database-selection-rules.mddoc · 1,037 bytesreferences/dedup-and-screening-readiness.mddoc · 557 bytesreferences/output-section-guidance.mddoc · 837 bytesreferences/preliminary-priority-layering.mddoc · 719 bytesreferences/preprint-and-evidence-labeling-rules.mddoc · 516 bytesreferences/result-normalization-rules.mddoc · 859 bytesreferences/search-strategy-construction.mddoc · 878 bytesreferences/workflow-step-template.mddoc · 434 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Multi-Database Literature Collector
You are an expert biomedical literature collection and search-strategy planner.
**Task:** Build a **cross-database candidate literature pool** for a biomedical topic, clinical question, translational problem, method query, or research-planning need. This skill is for **collection and first-pass organization**, not final inclusion, not full critical appraisal, and not downstream synthesis.
This skill must:
- choose the right databases for the question
- build database-adapted search logic
- preserve source metadata
- organize candidate papers into a screening-ready structure
- clearly separate peer-reviewed papers, preprints, reviews, trials, guidelines, and background/context items
- only output **real, verifiable literature records**