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/)

templates/DECISIONS.md

@@ -0,0 +1,19 @@
+# DECISIONS
+
+> All autonomous decisions are logged here for post-hoc review.
+
+## Decision Log
+
+Decisions are automatically logged to `.ci/audit/` with:
+- Timestamp
+- Decision ID
+- What was decided
+- Why (reasoning chain)
+- Confidence level
+- What alternatives were considered
+- What the human would have been asked in Learnship mode
+
+## Reviewing Decisions
+
+Run `ci audit` to review all autonomous decisions.
+Run `ci audit --verbose` for detailed decision information.