feat(focus-area): use enriched descriptions in cluster output

cluster_tasks now attaches enriched_description to each task dict.
focus-area reads enriched_description (falling back to raw content) when
building the area summary, so the orchestrator sees the expanded 3-sentence
descriptions instead of terse raw titles.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

ml/agents/clustering.py

@@ -268,6 +268,11 @@ def cluster_tasks(
     # Step 1: LLM-enrich titles → richer semantic signal before embedding.
     descriptions, new_enrichments = _enrich_batch(raw_titles, persistent_cache=enrichment_cache)
 
+    # Attach enriched description to each task dict so consumers (e.g. focus-area)
+    # can show the expanded text instead of the terse raw title.
+    for task, desc in zip(task_objs, descriptions):
+        task["enriched_description"] = desc
+
     # Step 2: Prefix with nomic-embed-text task prefix, then batch-embed.
     prefixed = [f"clustering: {d}" for d in descriptions]
     vecs = _embed_batch(prefixed)