Initial commit: prospecting agent loop MVP

Closed-loop account-intelligence system: harvest -> relevance filter vs.
Capability Library -> synthesize -> score -> deliver -> feedback.

- 40-capability Broadcom + VMware library
- Live Exa.ai news connector with hard free-plan request ceilings
- Provider-agnostic LLM layer (Gemini/Anthropic) with offline mock fallback
- LLM confidence wired into composite scoring + low-confidence floor
- 7-account pilot list

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

sales-agent/src/connectors/jobs.py

@@ -0,0 +1,24 @@
+"""Job posting harvester (v1 placeholder -> JSearch/Adzuna in production)."""
+from __future__ import annotations
+
+from ..types import RawSignal
+from . import account_fixture
+
+
+def harvest(account: dict) -> list[RawSignal]:
+    out: list[RawSignal] = []
+    for item in account_fixture(account["accountId"]).get("jobs", []):
+        count = item.get("count", 1)
+        prefix = f"[{count} openings] " if count > 1 else ""
+        out.append(
+            RawSignal(
+                account_id=account["accountId"],
+                source="jobs",
+                signal_type="hiring_surge" if count > 1 else "job_posting",
+                content=f"{prefix}{item['title']}: {item['content']}",
+                published_at=item["publishedAt"],
+                url=item["url"],
+                extra={"title": item["title"], "count": count},
+            )
+        )
+    return out