diff --git a/.claude/settings.example.json b/.claude/settings.example.json
index e5608e0..6c2978f 100644
--- a/.claude/settings.example.json
+++ b/.claude/settings.example.json
@@ -35,7 +35,7 @@
           },
           {
             "type": "command",
-            "command": "if [ \"$MLFLOW_CLAUDE_TRACING_ENABLED\" = \"true\" ]; then mlflow autolog claude -u http://127.0.0.1:$MLFLOW_PORT -n $MLFLOW_EXPERIMENT_NAME; fi"
+            "command": "if [ \"$MLFLOW_CLAUDE_TRACING_ENABLED\" = \"true\" ]; then python3 -c \"import mlflow; client=mlflow.tracking.MlflowClient(tracking_uri='http://127.0.0.1:$MLFLOW_PORT'); exp=client.get_experiment_by_name('$MLFLOW_EXPERIMENT_NAME'); client.restore_experiment(exp.experiment_id) if exp and exp.lifecycle_stage == 'deleted' else None\" && mlflow autolog claude -u http://127.0.0.1:$MLFLOW_PORT -n $MLFLOW_EXPERIMENT_NAME; fi"
           }
         ]
       }
diff --git a/docs/mlflow-tracing.md b/docs/mlflow-tracing.md
index a08d3b9..43ce303 100644
--- a/docs/mlflow-tracing.md
+++ b/docs/mlflow-tracing.md
@@ -25,11 +25,11 @@ Use `.claude/settings.example.json` and copy the MLflow-related keys/hook blocks
 Required pieces:
 - `MLFLOW_CLAUDE_TRACING_ENABLED`, `MLFLOW_PORT`, `MLFLOW_EXPERIMENT_NAME`
 - `SessionStart` and `Stop` hooks
-
-## 4) Enable autologging and verify
+Note: Set MLFLOW_CLAUDE_TRACING_ENABLED to false to disable tracking
+## 4) Start claude
 
 ```bash
-mlflow autolog claude -u "http://127.0.0.1:$MLFLOW_PORT" -n "$MLFLOW_EXPERIMENT_NAME"
+claude 
 ```
 
 Then run Claude and execute an RCA prompt. If configured correctly, traces appear in your MLflow UI.
diff --git a/skills/root-cause-analysis/SKILL.md b/skills/root-cause-analysis/SKILL.md
index 4cb7f39..eb756a9 100644
--- a/skills/root-cause-analysis/SKILL.md
+++ b/skills/root-cause-analysis/SKILL.md
@@ -81,7 +81,7 @@ If any checks have `"status": "missing"` and `"configurable": true`, offer to he
           },
           {
             "type": "command",
-            "command": "if [ \"$MLFLOW_CLAUDE_TRACING_ENABLED\" = \"true\" ]; then mlflow autolog claude -u http://127.0.0.1:$MLFLOW_PORT -n $MLFLOW_EXPERIMENT_NAME; fi"
+            "command": "if [ \"$MLFLOW_CLAUDE_TRACING_ENABLED\" = \"true\" ]; then python3 -c \"import mlflow; client=mlflow.tracking.MlflowClient(tracking_uri='http://127.0.0.1:$MLFLOW_PORT'); exp=client.get_experiment_by_name('$MLFLOW_EXPERIMENT_NAME'); client.restore_experiment(exp.experiment_id) if exp and exp.lifecycle_stage == 'deleted' else None\" && mlflow autolog claude -u http://127.0.0.1:$MLFLOW_PORT -n $MLFLOW_EXPERIMENT_NAME; fi"
           }
         ]
       }