feat(tasks): add skill-templated task graph execution

app-instance/backend/beaver/skills/assembler/task_assembler.py

@@ -83,6 +83,12 @@ class SkillAssembler:
             return SkillAssemblyResult()
         llm_interactions: list[dict[str, Any]] = []
 
+        if len(candidates) == 1:
+            return SkillAssemblyResult(
+                activated_skills=self._activate_skill_contexts([candidates[0]["name"]]),
+                llm_interactions=llm_interactions,
+            )
+
         if len(candidates) <= self.max_detailed_candidates:
             shortlisted_names = [item["name"] for item in candidates]
         else:
@@ -115,6 +121,10 @@ class SkillAssembler:
         if not selected_names:
             return SkillAssemblyResult(llm_interactions=llm_interactions)
 
+        activated_skills = self._activate_skill_contexts(selected_names)
+        return SkillAssemblyResult(activated_skills=activated_skills, llm_interactions=llm_interactions)
+
+    def _activate_skill_contexts(self, selected_names: list[str]) -> list[SkillContext]:
         activated_skills: list[SkillContext] = []
         for name in selected_names:
             record = self.loader.get_skill_record(name)
@@ -130,10 +140,11 @@ class SkillAssembler:
                     content_hash=record.content_hash or "" if record is not None else "",
                     activation_reason="llm_selected",
                     tool_hints=list(record.tool_hints) if record is not None else [],
+                    team_template=getattr(record, "team_template", None) if record is not None else None,
+                    team_template_warnings=list(getattr(record, "team_template_warnings", [])) if record is not None else [],
                 )
             )
-
-        return SkillAssemblyResult(activated_skills=activated_skills, llm_interactions=llm_interactions)
+        return activated_skills
 
     async def _select_skill_names(
         self,