Bible Study

get_text(reference="Genesis 1:1", version_language="both")
get_english_translations(reference="Genesis 1:1")
get_links_between_texts(reference="Genesis 1:1", with_text="1")
search_in_dictionaries(query="אֱלֹהִים")

dictionary.py — Strong's and Gesenius lexicon lookups

Located alongside this file. Run with its full path.

SKILL_DIR=$(find / -maxdepth 8 -name "dictionary.py" 2>/dev/null | grep -v site-packages | head -1 | xargs dirname)

# Strong's Hebrew by number
python "$SKILL_DIR/dictionary.py" H430
python "$SKILL_DIR/dictionary.py" H1254

# Gesenius Lexicon
python "$SKILL_DIR/dictionary.py" GES855

# Search by Hebrew word
python "$SKILL_DIR/dictionary.py" אֱלֹהִים
python "$SKILL_DIR/dictionary.py" H430 --no-text   # metadata only

Output keys for H{n} entries:

• key — Strong's key (e.g. H430)
• data_text — plain-text definition
• gematria_value — numerical value
• gematria_group — list of other H/G keys with the same gematria value

Output keys for GES{n} entries:

• key — Gesenius key (e.g. GES855)
• data_text — full scholarly definition with etymology and cognates

Workflow — Scripture Reference Input

Step 1: Fetch verse text from Sefaria

get_text(reference="Genesis 1:1", version_language="both")

This returns the Hebrew text (he) and English translation (text).

Step 2: Fetch cross-references

get_links_between_texts(reference="Genesis 1:1", with_text="1")

Step 3: Look up key words in the dictionaries

For significant Hebrew words in the verse, run:

python "$SKILL_DIR/dictionary.py" H{n}
python "$SKILL_DIR/dictionary.py" GES{n}

Use Strong's keys (H{n}) to get the definition and gematria value. Use Gesenius keys (GES{n}) for etymology, cognate languages, and scholarly depth.

To find the Strong's key for a Hebrew word, search by word:

python "$SKILL_DIR/dictionary.py" אֱלֹהִים

Step 4: Analyse gematria

For each significant word:

• Note its gematria_value
• Look up same-value words from gematria_group using --no-text
• Identify thematic patterns among words sharing the same numerical value

Step 5: Synthesize the study

Produce a structured study covering:

1. Verse text — Hebrew from Sefaria + English translation
2. Word-by-word lexical analysis — Strong's definitions for key words
3. Gesenius depth — etymology and cognates for theologically pivotal words
4. Gematria patterns — numerical connections between words
5. Cross-references — linked texts from Sefaria
6. Summary — integrate lexical, numerical, and cross-reference dimensions

Workflow — Hebrew Word Input

Step 1: Look up in dictionaries

python "$SKILL_DIR/dictionary.py" WORD

This searches both the Gematria (Strong's) and Gesenius databases.

Step 2: Explore the gematria group

python "$SKILL_DIR/dictionary.py" H{n} --no-text   # for each peer in gematria_group

Step 3: Search Sefaria

search_in_dictionaries(query="WORD")
get_topic_details(topic_slug="word-as-slug")

Step 4: Synthesize

1. Word — pointed form, transliteration, part of speech
2. Strong's entry — definition and semantic range
3. Gematria — value and same-value word connections
4. Gesenius etymology — root, cognates, historic usage
5. Summary

Output Format

Use clear markdown sections. Structure every study with headers:

## [Reference or Word] — [Brief title]
### Original Text
### Word-by-Word Analysis
### Gematria Patterns
### Lexical Depth (Gesenius)
### Cross-References
### Summary

Output as an interactive, word-by-word Bible study widget.

Notes

• Hebrew verse text and English translations come from Sefaria MCP — no local Bible database.
• Strong's Hebrew and Gesenius Lexicon data come from dictionary.py with the bundled .dct.mybible files.
• OT only for Hebrew lexical study. NT references can be fetched via Sefaria but will have no Strong's/Gesenius data.
• Greek Strong's (G{n}) are not supported — no Greek dictionary is loaded.