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scientific-retrieval

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Retrieve and recommend relevant documents from financial, historical, and scientific archives

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Source SKILL.md: https://github.com/beita6969/ScienceClaw/blob/HEAD/skills/scientific-retrieval/SKILL.md

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Scientific Retrieval & Recommendation

Purpose

Retrieve relevant documents, datasets, and resources from large scientific and domain-specific archives.

Key Datasets

  • Financial Reports SEC (JanosAudran/financial-reports-sec): SEC 10-K filings with 20 sections and sentiment labels
  • Historical Newswire (dell-research-harvard/newswire): Historical news article corpus for digital humanities research

Protocol

  1. Query analysis — Parse information need, identify key concepts and constraints
  2. Source selection — Choose appropriate databases and archives
  3. Search execution — Multi-strategy search (keyword, semantic, citation-based)
  4. Relevance ranking — Score and rank results by relevance, authority, recency
  5. Result synthesis — Organize and present findings with metadata

Retrieval Domains

  • Financial documents: SEC filings (10-K, 10-Q, 8-K), earnings calls, analyst reports
  • Historical archives: Newspapers, government records, digitized manuscripts
  • Scientific literature: Journal articles, preprints, conference proceedings
  • Patent databases: USPTO, EPO, WIPO patent documents

Recommendation Types

  • Similar documents: Find related papers/reports based on content similarity
  • Citation chain: Forward/backward citation tracking
  • Cross-domain: Find analogous work in different disciplines
  • Temporal: Track how a topic evolves over time

Rules

  • Always report search coverage and potential gaps
  • Rank by relevance, not just recency
  • Include document metadata (date, source, section, author)
  • For financial documents, note the filing period and any restatements