Add run-scoped skill and prompt asset management

backend/core/pipeline.py

@@ -226,6 +226,44 @@ class TradingPipeline:
             "settlement_result": settlement_result,
         }
 
+    def reload_runtime_assets(self) -> Dict[str, Any]:
+        """Reload prompt assets, bootstrap config, and active skills for all agents."""
+        from backend.agents.skills_manager import SkillsManager
+        from backend.agents.toolkit_factory import load_agent_profiles
+
+        config_name = getattr(self.pm, "config", {}).get("config_name", "default")
+        skills_manager = SkillsManager()
+        profiles = load_agent_profiles()
+        active_skill_map = skills_manager.prepare_active_skills(
+            config_name=config_name,
+            agent_defaults={
+                agent_id: profile.get("skills", [])
+                for agent_id, profile in profiles.items()
+            },
+        )
+
+        for analyst in self.analysts:
+            analyst.reload_runtime_assets(
+                active_skill_dirs=active_skill_map.get(analyst.name, []),
+            )
+
+        self.risk_manager.reload_runtime_assets(
+            active_skill_dirs=active_skill_map.get("risk_manager", []),
+        )
+        self.pm.reload_runtime_assets(
+            active_skill_dirs=active_skill_map.get("portfolio_manager", []),
+        )
+
+        return {
+            "config_name": config_name,
+            "reloaded_agents": [agent.name for agent in self.analysts]
+            + ["risk_manager", "portfolio_manager"],
+            "active_skills": {
+                agent_id: [path.name for path in paths]
+                for agent_id, paths in active_skill_map.items()
+            },
+        }
+
     async def _clear_all_agent_memory(self):
         """Clear short-term memory for all agents"""
         for analyst in self.analysts: