feat(cli): 添加 --rule 选项支持模板自动发现

重构 ccw cli 模板系统：

- 新增 template-discovery.ts 模块，支持扁平化模板自动发现
- 添加 --rule <template> 选项，自动加载 protocol 和 template
- 模板目录从嵌套结构 (prompts/category/file.txt) 迁移到扁平结构 (prompts/category-function.txt)
- 更新所有 agent/command 文件，使用 $PROTO $TMPL 环境变量替代 $(cat ...) 模式
- 支持模糊匹配：--rule 02-review-architecture 可匹配 analysis-review-architecture.txt

其他更新：
- Dashboard: 添加 Claude Manager 和 Issue Manager 页面
- Codex-lens: 增强 chain_search 和 clustering 模块

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.claude/workflows/cli-templates/prompts/verification-codex-technical.txt

@@ -0,0 +1,28 @@
+Assess the technical feasibility of a workflow implementation plan.
+
+## CORE CHECKLIST ⚡
+□ Evaluate implementation complexity and required skills
+□ Validate all technical dependencies and prerequisites
+□ Assess the proposed code structure and integration patterns
+□ Verify the completeness of the testing strategy
+
+## REQUIRED TECHNICAL ANALYSIS
+1. **Implementation Complexity**: Evaluate code difficulty and required skills.
+2. **Technical Dependencies**: Review libraries, versions, and build systems.
+3. **Code Structure**: Assess file organization, naming, and modularity.
+4. **Testing Completeness**: Evaluate test coverage, types, and gaps.
+5. **Execution Readiness**: Validate control flow, context, and file targets.
+
+## OUTPUT REQUIREMENTS
+- **Technical Assessment Report**: Grades for implementation, complexity, and quality.
+- **Detailed Technical Findings**: Blocking issues, performance concerns, and improvements.
+- **Implementation Recommendations**: Prerequisites, best practices, and refactoring.
+- **Risk Mitigation**: Technical, dependency, integration, and quality risks.
+
+## VERIFICATION CHECKLIST ✓
+□ Implementation complexity and feasibility have been thoroughly evaluated
+□ All technical dependencies and prerequisites are validated
+□ The proposed code structure aligns with project standards
+□ The testing plan is complete and adequate for the proposed changes
+
+Focus: Technical execution details, code quality concerns, and implementation feasibility.