feat(knowledge-flywheel): add Phase 3 Knowledge Flywheel — AI analysis, review queue, analytics

Phase 3 implementation:
- AI session analysis service that generates flow proposals from resolved sessions
- APScheduler job for batch processing pending analyses (max_instances=1)
- Knowledge gap detection (weak options, high escalation signals)
- Flow proposals CRUD with team admin review workflow (approve/edit/dismiss/reject)
- FlowPilot analytics dashboard with confidence tiers, PSA metrics, knowledge gaps
- In-session script generator component
- Review queue page with filtering and proposal detail panel

Bug fixes from review (12 total):
- Fix "Edit & Publish" navigating to non-existent /editor/new route
- Hide Approve button for enhancement proposals (require Edit & Publish)
- Add max_instances=1 to scheduler to prevent TOCTOU race
- Fix eventual_success case() double-counting failed retries
- Add tree_structure validation before creating tree from proposal
- Simplify script generator rendering condition
- Add severity style fallback, toFixed on rates, Link instead of <a href>
- Add toast.warning on dismiss failure, fix dedup for domain-less sessions
- Cast Decimal to int in knowledge gap evidence dicts

Also updates CLAUDE.md with lessons 67-71 and Phase 3 project structure.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/schemas/flowpilot_analytics.py

@@ -0,0 +1,72 @@
+"""Pydantic schemas for FlowPilot analytics dashboard."""
+from __future__ import annotations
+
+from typing import Optional, Any
+from datetime import datetime
+
+from pydantic import BaseModel
+
+
+class MTTRDataPoint(BaseModel):
+    date: str
+    mttr_minutes: float
+    session_count: int
+
+
+class DomainBreakdown(BaseModel):
+    domain: str
+    total: int
+    resolved: int
+    escalated: int
+    resolution_rate: float
+
+
+class ConfidenceBreakdown(BaseModel):
+    guided_sessions: int
+    guided_resolution_rate: float
+    exploring_sessions: int
+    exploring_resolution_rate: float
+    discovery_sessions: int
+    discovery_resolution_rate: float
+
+
+class DomainCoverage(BaseModel):
+    domain: str
+    flow_count: int
+    session_count: int
+    guided_rate: float
+
+
+class KnowledgeCoverage(BaseModel):
+    total_flows: int
+    ai_generated_flows: int
+    total_proposals_pending: int
+    proposals_approved_this_period: int
+    proposals_rejected_this_period: int
+    coverage_by_domain: list[DomainCoverage] = []
+
+
+class PsaMetrics(BaseModel):
+    ticket_link_rate: float
+    auto_push_success_rate: float
+    auto_push_retry_success_rate: float
+    total_time_entries_logged: int
+    total_hours_logged: float
+
+
+class FlowPilotDashboard(BaseModel):
+    period: str
+    total_sessions: int
+    resolved_sessions: int
+    escalated_sessions: int
+    abandoned_sessions: int
+    resolution_rate: float
+    avg_steps_to_resolution: float
+    avg_session_duration_minutes: float
+    avg_rating: float | None = None
+    mttr_minutes: float | None = None
+    mttr_trend: list[MTTRDataPoint] = []
+    sessions_by_domain: list[DomainBreakdown] = []
+    confidence_breakdown: ConfidenceBreakdown
+    knowledge_coverage: KnowledgeCoverage
+    psa_metrics: PsaMetrics | None = None