fix: butler audit critical fixes — pain detection, proposal trigger, URI + data flow

5 fixes from focused audit:
- Connect analyze_for_pain_signals() to post_conversation_hook (pain points now auto-created)
- Add "generate solution" button in InsightsSection for high-confidence pain points (>=0.7)
- Fix Memory URI mismatch: viking://agents/ → viking://agent/ (singular)
- Remove duplicate .then() chain in useButlerInsights (was destructuring undefined)
- Update stale director.rs doc comment (multi-agent now enabled by default)

desktop/src-tauri/src/intelligence_hooks.rs

@@ -78,6 +78,37 @@ pub async fn post_conversation_hook(
         }
     }
 
+    // Step 1.6: Detect pain signals from user message
+    if !_user_message.is_empty() {
+        let messages = vec![zclaw_types::Message::user(_user_message)];
+        if let Some(analysis) = crate::intelligence::pain_aggregator::analyze_for_pain_signals(&messages) {
+            let severity_str = match analysis.severity {
+                crate::intelligence::pain_aggregator::PainSeverity::High => "high",
+                crate::intelligence::pain_aggregator::PainSeverity::Medium => "medium",
+                crate::intelligence::pain_aggregator::PainSeverity::Low => "low",
+            };
+            match crate::intelligence::pain_aggregator::butler_record_pain_point(
+                agent_id.to_string(),
+                "default_user".to_string(),
+                analysis.summary,
+                analysis.category,
+                severity_str.to_string(),
+                _user_message.to_string(),
+                analysis.evidence,
+            ).await {
+                Ok(pain) => {
+                    debug!(
+                        "[intelligence_hooks] Pain point recorded: {} (confidence: {:.2}, count: {})",
+                        pain.summary, pain.confidence, pain.occurrence_count
+                    );
+                }
+                Err(e) => {
+                    warn!("[intelligence_hooks] Failed to record pain point: {}", e);
+                }
+            }
+        }
+    }
+
     // Step 2: Record conversation for reflection
     let mut engine = reflection_state.lock().await;