Ancient Near East Research

Additional Triggers

This skill should also be activated for:

• Gnostic/Orphic: "Nag Hammadi", "Sethian", "Gnostic", "Orphic", "On the Origin of the World", "demiurge"
• Etymology: "purple etymology", "tip'eret", "p-r root", "Membliaros", "Kadmos", "Europa"
• Minoan parallels: "Moses-Minos", "Bezalel-Daedalus", "Kaphtor", "Caphtor", "Linear A"
• OCR/tools: "extract from PDF", "OCR academic", "compile quotations", "theme categorization"
• Paper research: "Thera eruption", "Tempest Stela", "primordial waters", "Gaza as Minoa", "Manat"
• JSTOR: "search JSTOR", "JSTOR article", "download from JSTOR", "saved articles", "academic database"
• Web Discovery: "find papers about", "search for scholarship", "literature search", "Google Scholar", "academic search", "find sources", "discover research", "omnisearch", "Exa search"
• Source Extraction: "extract from URL", "scrape academic page", "stealth fetch", "parse PDF URL", "get abstract from JSTOR"

Ancient Near East Research

Academic research assistant for Biblical Hebrew, Semitic linguistics, and comparative Ancient Near Eastern studies.

Core Capabilities

1. Sefaria API - Fetch Hebrew Bible passages with vocalization, translations, and commentaries
2. Hebrew Text Handling - Proper display of Hebrew with cantillation marks (טעמים)
3. Cross-referencing - Link Biblical texts to Talmud, Midrash, and commentaries
4. Citation Formatting - Academic citation styles for primary sources
5. Cuneiform Databases - Access CDLI and ORACC for Akkadian/Sumerian primary sources

Sefaria API Usage

Fetching Texts

To retrieve a passage, use the Sefaria API endpoint:

https://www.sefaria.org/api/v3/texts/{reference}

Reference Format:

• Book names: Genesis, Exodus, Isaiah, Psalms, etc.
• Chapters/verses: Use periods as separators: Genesis.1.1-3
• Ranges: Genesis.1.1-2.4 (chapter 1 verse 1 through chapter 2 verse 4)

Examples:

• Genesis.1.1-3 - Genesis 1:1-3
• Exodus.20.1-17 - The Ten Commandments
• Isaiah.45.7 - Isaiah 45:7
• Psalms.104 - Full chapter

Running the Fetch Script

For formatted output with Hebrew text and translation:

python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_sefaria.py "Genesis 1:1-3"
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_sefaria.py "Exodus 20:2" --hebrew-only
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_sefaria.py "Isaiah 45:7" --with-rashi

Direct API Calls

# Basic verse fetch
curl -s "https://www.sefaria.org/api/v3/texts/Genesis.1.2"

# Search for Hebrew term
curl -s "https://www.sefaria.org/api/search-wrapper?query=תהום&type=text&filters=Tanakh"

Key Passages for ANE Comparative Research

See references/hebrew-passages.md for detailed passage tables and commentaries.

Core passages: Genesis 1:2 (Tehom), Isaiah 27:1 (Leviathan), 1 Kings 18:19 (Asherah), Amos 9:7 (Caphtor)

Cuneiform Database Resources

See references/cuneiform-databases.md for CDLI/ORACC API details and script commands.

Quick access:

• CDLI: https://cdli.earth/artifacts/{P-number}.json
• ORACC: https://oracc.museum.upenn.edu/{project}/corpusjson/{P-number}.json
• Key P-number: P480701 = Enuma Elish composite

Web Discovery & Source Extraction

Source Escalation Ladder

Tier 1: Omnisearch (Broad Discovery)

When the omnisearch skill is available, use it as the entry point for finding new scholarship. The --academic flag routes to Exa's research paper index.

# Broad ANE topic discovery
python3 ~/.claude/skills/omnisearch/scripts/omnisearch.py "Minoan Semitic linguistic connections" --academic

# Parallel multi-provider search for corroboration
python3 ~/.claude/skills/omnisearch/scripts/omnisearch.py "Thera eruption Tempest Stela" --parallel --no-text

# News about recent archaeological finds
python3 ~/.claude/skills/omnisearch/scripts/omnisearch.py "Knossos excavation 2025" --news

Tier 2: Exa Neural Search (Domain-Filtered)

Direct Exa search with ANE-specific domain lists and the research paper category. Use when omnisearch is unavailable or when more control over domains and filtering is needed.

python3 ~/.claude/skills/exa-search/scripts/exa_search.py "Asherah cult Ugarit" \
  --category "research paper" \
  --domains jstor.org persee.fr perseus.tufts.edu academia.edu \
  -n 20 --no-text

ANE Domain List:

Pre-Built ANE Search Queries:

Similar Page Discovery:

python3 ~/.claude/skills/exa-search/scripts/exa_similar.py \
  "https://www.jstor.org/stable/528927" \
  --category "research paper" -n 15

Tier 3: Firecrawl (Page Extraction & PDF Parsing)

For extracting content from known URLs and parsing remote PDFs.

# Scrape an academic page
firecrawl scrape "https://www.persee.fr/doc/..." --only-main-content

# Parse a remote PDF (Fire-PDF v2.9)
python3 ~/.claude/skills/firecrawl/scripts/firecrawl_api.py scrape \
  "https://example.com/paper.pdf" --pdf-mode auto

# Search + scrape in one operation
firecrawl search "Cyrus Gordon Minoan Semitic" --scrape --limit 10

Tier 4: Obscura Stealth Extraction (Bot-Protected Sites)

For JSTOR, Google Scholar, Persée, Perseus, and Academia.edu. Extracts publicly visible metadata and abstracts — not for bypassing paywalls.

# Auto-detect site type from URL
bash ~/.claude/skills/ancient-near-east-research/scripts/ane_stealth_fetch.sh URL

# Google Scholar search
bash ~/.claude/skills/ancient-near-east-research/scripts/ane_stealth_fetch.sh \
  "https://scholar.google.com/scholar?q=minoan+semitic+etymology" scholar

Supported site types: scholar, pubmed, jstor, persee, perseus, academia, cdli, oracc, sefaria, general

See references/obscura-ane-patterns.md for site-specific extraction patterns and gotchas.

Complete Research Pipeline

Topic Question
    ↓
Tier 0: Check Sefaria / CDLI / ORACC (known references)
    ↓
Tier 1: Omnisearch --academic (broad discovery, titles only)
    ↓
Tier 2: Exa --category "research paper" --domains [ANE list] (focused search)
    ↓
Pick URLs → Tier 3: Firecrawl scrape / parse (extract content)
    ↓
Bot-blocked? → Tier 4: Obscura ane_stealth_fetch.sh (stealth extraction)
    ↓
PDF downloaded → Mistral OCR → Quotations DB → Themed Compilation

Akkadian Terms and Enuma Elish

See references/akkadian-terms.md for comprehensive Akkadian terminology, Enuma Elish passages, and Hebrew-Akkadian cognate pairs.

Key cognate: תְּהוֹם (Tehom) ↔ Ti'āmat

Research Context

This skill supports comparative research across:

• Minoan-Aegean: Palace culture, goddess worship, Thera eruption
• Ugaritic-Canaanite: Athirat/Asherah, Yamm/Sea mythology, Ba'al cycle
• Babylonian: Tiamat/Enuma Elish, primordial waters cosmology
• Biblical Hebrew: Genesis creation, Tehom/Tiamat cognate, Leviathan
• Semitic Etymology: Astour (Kadmos, Europa, Membliaros), Gordon (Moses-Minos, Daedalus-Bezalel)

See references/gordon-papers/gordon-findings.md for Gordon's Minoan-Semitic connections.

Translation Philosophy

Always be literal. Preserve Hebrew terms rather than translating to generic English equivalents. This maintains etymological connections crucial for comparative ANE research.

This approach preserves the cognate relationships (Tehom ↔ Tiamat, Tanninim ↔ Ugaritic tnn) that are obscured by conventional translations.

Classical Phoenician/Ugaritic Pronunciation

For etymological analysis, use pre-begadkephat pronunciation (פ as /p/ not /f/):

This preserves etymological connections obscured by later pronunciation shifts (e.g., tip'eret → purpura).

Output Formatting

When presenting Hebrew text in research:

בְּרֵאשִׁית בָּרָא אֱלֹהִים אֵת הַשָּׁמַיִם וְאֵת הָאָרֶץ
"In the beginning Elohim created the heavens and the earth" (Genesis 1:1)

For academic citations:

• Hebrew Bible: Book Chapter:Verse (e.g., Gen 1:2)
• With Hebrew: Include original + transliteration when relevant
• Commentaries: Rashi on Genesis 1:2, s.v. "תהום"

Integration with Research Workflow

This skill connects to the quotations compilation system at: ~/Desktop/Athirat, Knossos, & Minos/

Generated quotations can be added to the themed compilation by:

1. Saving output as markdown in the Snippets/ directory
2. Adding **Category: [Theme]** header (Thera, Knossos, Minos, Palestine, Linguistics)
3. Running python3 compile_themed_quotations.py

Resources

Scripts

• scripts/fetch_sefaria.py - Fetch Hebrew Bible passages with translations and commentaries
• scripts/fetch_cuneiform.py - Access CDLI and ORACC cuneiform databases
• scripts/fetch_jstor.py - JSTOR browser automation (search, saved articles, PDF download)
• scripts/compile_quotations.py - Compile themed quotation documents (5-theme categorization)
• scripts/ane_stealth_fetch.sh - Stealth fetch wrapper for 10 academic site types (Scholar, JSTOR, Persée, Perseus, CDLI, ORACC, Sefaria, PubMed, Academia, general)
• scripts/ocr_academic_pdf.py - Extract text from academic PDFs using Marker OCR
• scripts/mistral_ocr_pdf.py - High-accuracy OCR using Mistral Pixtral-Large (94.89% accuracy on scanned docs)

Mistral OCR Usage

Convert PDFs to Markdown using Mistral's Pixtral vision model:

# Basic usage (requires MISTRAL_API_KEY env var)
python3 ~/.claude/skills/ancient-near-east-research/scripts/mistral_ocr_pdf.py document.pdf

# Specify output file
python3 ~/.claude/skills/ancient-near-east-research/scripts/mistral_ocr_pdf.py document.pdf -o output.md

# OCR specific pages
python3 ~/.claude/skills/ancient-near-east-research/scripts/mistral_ocr_pdf.py document.pdf --pages 1-50

# Process large PDFs in chunks (requires PyMuPDF)
python3 ~/.claude/skills/ancient-near-east-research/scripts/mistral_ocr_pdf.py large.pdf --chunked --chunk-size 20

Requirements: uv pip install mistralai --system (and PyMuPDF for chunked mode)

References

• references/sefaria_api.md - Complete Sefaria API documentation
• references/source-directories.md - Filesystem locations for source materials and tools
• references/categorization-keywords.md - Theme keywords for quotation auto-categorization
• references/obscura-ane-patterns.md - Site-specific Obscura extraction patterns for ANE academic sites
• references/gordon-papers/ - Cyrus H. Gordon's Minoan-Semitic research
  • gordon-findings.md - Summary of key findings (Moses-Minos, Daedalus-Bezalel, Ida footstool)
  • Ugarit-and-Caphtor.pdf, Gordon-Minoica-1962.pdf, Gordon-DeciphermentMinoanEteocretan-1975.pdf
• references/drafts/ - Working paper drafts (gnostic-reception-genesis.md, gordon-findings.md)

Active Paper Project

This skill supports a 3-part academic paper series: "Thera, Knossos, and Minos: Minoan-Semitic Connections in the Ancient Mediterranean"

Part I: Thera (in progress): Thera eruption → Greek sources → Astour's etymologies → Tehom-Tiamat → Athirat of the Sea → Thera the Goddess → purple etymology (tip'eret) Part II: Knossos/Knossot (planned): Palace culture, Linear A, Daedalus-Bezalel, kaftôrîm, priestess traditions Part III: Minos/Manna/Moses (planned): Moses-Minos parallels, law-giver traditions, Gaza as Minoa, Manat the Goddess

Active repo: ~/Desktop/Thera-Knossos-Minos-Paper/

Cuneiform Script Usage

See references/cuneiform-databases.md for full script commands and ORACC project reference.

Quick commands:

python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_cuneiform.py cdli P480701
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_cuneiform.py deity tiamat
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_cuneiform.py oracc-projects

JSTOR Browser Automation

Prefer Obscura stealth fetch (Tier 4) or Exa search (Tier 2) for JSTOR metadata and abstracts. This script is retained for cases requiring authenticated full-text download.

Access JSTOR scholarly database using browser automation via agent-browser. Requires a JSTOR account with download privileges.

See references/jstor-research.md for URL patterns and search strategies.

First-Time Setup

Authenticate with JSTOR (opens browser for manual login):

python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py login

Auth state is saved to ~/.jstor-auth.json and reused for subsequent commands.

JSTOR Commands

# Check authentication status
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py status

# Search for articles
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py search "minoan semitic etymology" -n 20

# List saved articles (My Library)
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py saved

# List recently read articles
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py recent

# Get article metadata
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py article https://jstor.org/stable/12345

# Download PDF to specified directory
python3 ~/.claude/skills/ancient-near-east-research/scripts/fetch_jstor.py download https://jstor.org/stable/12345 -o ~/sources/

Research Pipeline

JSTOR integrates with the existing OCR and quotations workflow:

JSTOR Search → Download PDFs → Mistral OCR → Quotations DB → RAG Dossiers

Example workflow:

# 1. Search JSTOR
python3 fetch_jstor.py search "Cyrus Gordon minoan" --json > results.json

# 2. Download interesting article
python3 fetch_jstor.py download https://jstor.org/stable/528927 -o ~/sources/gordon/

# 3. OCR the PDF
python3 mistral_ocr_pdf.py ~/sources/gordon/jstor-528927.pdf -o ~/sources/gordon/article.md

# 4. Extract quotations and add to database