Phase 3: Skills & Context — skill system, personal context, context layering

Backend:
- Skill model + migration (with FK on chats.skill_id)
- Personal + general skill CRUD services with access isolation
- Admin skill CRUD endpoints (POST/GET/PATCH/DELETE /admin/skills)
- User skill CRUD endpoints (POST/GET/PATCH/DELETE /skills/)
- Personal context GET/PUT at /users/me/context
- Extended context assembly: primary + personal context + skill prompt
- Chat creation/update now accepts skill_id with validation

Frontend:
- Skill selector dropdown in chat header (grouped: general + personal)
- Reusable skill editor form component
- Admin skills management page (/admin/skills)
- Personal skills page (/skills)
- Personal context editor page (/profile/context)
- Updated sidebar: Skills, My Context nav items + admin skills link
- English + Russian translations for all skill/context UI

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/services/ai_service.py

@@ -9,31 +9,48 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from app.config import settings
 from app.models.chat import Chat
 from app.models.message import Message
-from app.services.context_service import DEFAULT_SYSTEM_PROMPT, get_primary_context
+from app.models.skill import Skill
+from app.services.context_service import DEFAULT_SYSTEM_PROMPT, get_primary_context, get_personal_context
 from app.services.chat_service import get_chat, save_message
 
 client = AsyncAnthropic(api_key=settings.ANTHROPIC_API_KEY)
 
 
 async def assemble_context(
-    db: AsyncSession, chat_id: uuid.UUID, user_message: str
+    db: AsyncSession, chat_id: uuid.UUID, user_id: uuid.UUID, user_message: str
 ) -> tuple[str, list[dict]]:
     """Assemble system prompt and messages for Claude API."""
+    system_parts = []
+
     # 1. Primary context
     ctx = await get_primary_context(db)
-    system_prompt = ctx.content if ctx and ctx.content.strip() else DEFAULT_SYSTEM_PROMPT
+    system_parts.append(ctx.content if ctx and ctx.content.strip() else DEFAULT_SYSTEM_PROMPT)
 
-    # 2. Conversation history
+    # 2. Personal context
+    personal_ctx = await get_personal_context(db, user_id)
+    if personal_ctx and personal_ctx.content.strip():
+        system_parts.append(f"---\nUser Context:\n{personal_ctx.content}")
+
+    # 3. Active skill system prompt
+    chat = await get_chat(db, chat_id, user_id)
+    if chat.skill_id:
+        result = await db.execute(select(Skill).where(Skill.id == chat.skill_id))
+        skill = result.scalar_one_or_none()
+        if skill and skill.is_active:
+            system_parts.append(f"---\nSpecialist Role ({skill.name}):\n{skill.system_prompt}")
+
+    system_prompt = "\n\n".join(system_parts)
+
+    # 4. Conversation history
     result = await db.execute(
         select(Message)
         .where(Message.chat_id == chat_id, Message.role.in_(["user", "assistant"]))
         .order_by(Message.created_at.asc())
     )
     history = result.scalars().all()
-
     messages = [{"role": msg.role, "content": msg.content} for msg in history]
 
-    # 3. Current user message
+    # 5. Current user message
     messages.append({"role": "user", "content": user_message})
 
     return system_prompt, messages
@@ -56,7 +73,7 @@ async def stream_ai_response(
 
     try:
         # Assemble context
-        system_prompt, messages = await assemble_context(db, chat_id, user_message)
+        system_prompt, messages = await assemble_context(db, chat_id, user_id, user_message)
 
         # Stream from Claude
         full_content = ""