feat: add internal committee decisions corpus (source_kind='internal_committee')

Three-layer separation: style learning (style_corpus), appeals-committee decisions
(internal_committee), and court rulings (external_upload).

- SCHEMA_V10: chair_name + district columns on case_law and cases, partial indexes
- create_internal_committee_decision() DB upsert function
- search_precedent_library_semantic() now accepts source_kind/district/chair_name params
- search_precedent_library_hybrid() passes through new params
- services/internal_decisions.py: ingest_internal_decision, migrate_from_style_corpus,
  migrate_from_external_corpus (identifies rows via source_type='appeals_committee')
- search_internal_decisions() MCP tool (server.py + tools/search.py)
- internal_decision_migrate() MCP admin tool
- Web endpoints: POST /api/internal-decisions/upload, POST /api/internal-decisions/migrate,
  GET /api/internal-decisions
- ingest_final_version auto-ingests finalized decisions into internal corpus
- SKILL.md updated: agents now search internal + external in parallel, present separately

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/tools/search.py

@@ -179,3 +179,63 @@ async def find_similar_cases(
         })
 
     return json.dumps(formatted, ensure_ascii=False, indent=2)
+
+
+async def search_internal_decisions(
+    query: str,
+    practice_area: str = "",
+    appeal_subtype: str = "",
+    district: str = "",
+    chair_name: str = "",
+    limit: int = 10,
+    include_halachot: bool = True,
+) -> str:
+    """חיפוש בהחלטות ועדות ערר לתכנון ובנייה (כל המחוזות).
+
+    Args:
+        query: שאילתת חיפוש בעברית
+        practice_area: rishuy_uvniya / betterment_levy / compensation_197
+        appeal_subtype: סינון לפי תת-סוג ערר
+        district: מחוז — ירושלים / מרכז / תל אביב / צפון / דרום / ארצי. ריק = כל המחוזות
+        chair_name: שם יו"ר הוועדה לסינון. ריק = כל היו"רים
+        limit: מספר תוצאות מקסימלי
+        include_halachot: האם לכלול הלכות שחולצו
+    """
+    from legal_mcp.services import internal_decisions as int_svc
+
+    results = await int_svc.search_internal(
+        query,
+        practice_area=practice_area,
+        appeal_subtype=appeal_subtype,
+        district=district,
+        chair_name=chair_name,
+        limit=limit,
+        include_halachot=include_halachot,
+    )
+
+    if not results:
+        return "לא נמצאו החלטות ועדת ערר רלוונטיות."
+
+    formatted = []
+    for r in results:
+        entry = {
+            "score": round(float(r["score"]), 4),
+            "type": r.get("type", "passage"),
+            "case_number": r.get("case_number"),
+            "case_name": r.get("case_name"),
+            "court": r.get("court"),
+            "district": r.get("district"),
+            "chair_name": r.get("chair_name"),
+            "decision_date": r.get("decision_date"),
+        }
+        if r.get("type") == "halacha":
+            entry["rule"] = r.get("rule_statement")
+            entry["quote"] = r.get("supporting_quote")
+            entry["rule_type"] = r.get("rule_type")
+        else:
+            entry["content"] = r.get("content", "")
+            entry["section"] = r.get("section_type")
+            entry["page"] = r.get("page_number")
+        formatted.append(entry)
+
+    return json.dumps(formatted, ensure_ascii=False, indent=2)