feat: implement CI (Continuous Intelligence) autonomous engineering harness

Implements the full PRD for CI - a fully autonomous AI-driven software
engineering harness derived from Learnship's architecture.

Core components:
- CI Orchestrator agent with autonomous pipeline (SPECIFY → CLARIFY →
  RESEARCH → PLAN → EXECUTE → VERIFY → COMPLETE)
- Decision Engine with confidence thresholds (high/medium/low)
- Clarify Phase with question budget and default acceptance
- Escalation Protocol with timeout auto-proceed
- Audit Trail system (.ci/audit/) for post-hoc review
- Error Recovery with retry, plan revision, and rollback

18 agents (all Learnship agents + Orchestrator):
- Autonomous behavioral modifications per PRD §7.1
- Agent registry with factory pattern

11 CLI commands:
- ci init, ci run, ci quick, ci debug, ci verify
- ci review, ci status, ci audit, ci clarify
- ci rollback, ci ship

4-layer verification system:
- Structural, Behavioral, Security, Code Quality

3 autonomy levels: full, supervised, guided
Compatible with Learnship artifact schemas (.planning/)

src/types/decisions.ts

@@ -0,0 +1,43 @@
+export type ConfidenceLevel = "high" | "medium" | "low";
+
+export type DecisionCategory =
+  | "implementation_approach"
+  | "technology_choice"
+  | "architecture"
+  | "scope"
+  | "verification"
+  | "security"
+  | "deployment"
+  | "general";
+
+export interface Decision {
+  id: string;
+  timestamp: string;
+  decision: string;
+  rationale: string;
+  confidence: number;
+  category: DecisionCategory;
+  alternatives_considered: Alternative[];
+  learnship_equivalent: string;
+  human_override: string | null;
+  phase?: string;
+  task?: string;
+}
+
+export interface Alternative {
+  option: string;
+  rejected_reason: string;
+}
+
+export function confidenceToLevel(confidence: number): ConfidenceLevel {
+  if (confidence > 0.85) return "high";
+  if (confidence >= 0.6) return "medium";
+  return "low";
+}
+
+export function shouldEscalate(
+  confidence: number,
+  threshold: number
+): boolean {
+  return confidence < threshold;
+}