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Update to TorahLM
Snapshot Nov 6, 2026 · 18:22 UTC · version 1.0.1
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{
"description": "Answer questions about Torah, Tanakh, Talmud, Mishnah, Midrash, halacha, Jewish law and practice, or Hebrew and Aramaic words by retrieving the primary sources through TorahLM and citing them with links.",
"included_files": [],
"name": "torah-sources",
"skill_md_contents": "---\nname: torah-sources\ndescription: Answer questions about Torah, Tanakh, Talmud, Mishnah, Midrash, halacha, Jewish law and practice, or Hebrew and Aramaic words by retrieving the primary sources through TorahLM and citing them with links.\n---\n\nUse this skill whenever the user asks about a Jewish text, a halachic question,\nthe meaning of a Hebrew or Aramaic word, or what a commentary says.\n\n1. Find the sources. Use `lookup` or `get_text` when you know the reference\n (e.g. \"Genesis 1:1\", \"Berakhot 2a\", \"Rashi on Exodus 20:8\"), and `search`\n when you don't. Use `get_halachipedia` for practical halacha, `get_links` for\n commentaries and cross-references on a passage, and `lookup_word` for a word.\n2. You may use your own knowledge to guess which sources are relevant, but\n confirm each one through TorahLM before citing it. Never cite a source you\n did not retrieve.\n3. Answer from what you retrieved. Quote briefly and give each source's link.\n4. When the user asks to see the texts, or a Talmud page, or the answer is about\n one passage, call `show_text` once at the end with the refs you cited. Use\n `layout: \"daf\"` when the user wants a Talmud page. Otherwise don't show the\n card: end by offering to show the cited texts.\n5. For the user's own TorahApp learning (their stats, progress in a book,\n activity by week, month or year), call `my_torahapp_activity`. It asks them\n to sign in with their TorahApp account the first time; nothing else does.\n6. For a practical halachic question about the user's own situation, give the\n sources and add that they should ask their rabbi.\n\nIf a reference isn't found, say so and try `search`; don't guess its text.\n"
}SHA-256 of public snapshot: 414f6fe7e8986d5fee0069d9c02494bdeb14851560e0a2af26d1d37c5d85b524