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https://github.com/catlog22/Claude-Code-Workflow.git
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- Phase 3: Added Mermaid diagram generation for system architecture, function modules, algorithms, class diagrams, sequence diagrams, and error flows. - Phase 4: Assembled analysis and diagrams into a structured CPCC-compliant document with section templates and figure numbering. - Phase 5: Developed compliance review process with iterative refinement based on analysis findings and user feedback. - Added CPCC compliance requirements and quality standards for project analysis reports. - Established a comprehensive project analysis skill with detailed execution flow and report types. - Enhanced error handling and recovery mechanisms throughout the analysis phases.
139 lines
3.5 KiB
Markdown
139 lines
3.5 KiB
Markdown
# Phase 2: Deep Code Analysis
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Launch 6 parallel agents for multi-dimensional code analysis.
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## Execution
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### Analysis Dimensions
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| Agent | Dimension | Analysis Focus | Output Section |
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|-------|-----------|----------------|----------------|
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| 1 | architecture | 分层、模块、依赖 | Section 2 |
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| 2 | functions | 功能、工作流、交互 | Section 3 |
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| 3 | algorithms | 核心逻辑、复杂度、流程 | Section 4 |
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| 4 | data_structures | 实体、属性、关系 | Section 5 |
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| 5 | interfaces | API、参数、响应 | Section 6 |
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| 6 | exceptions | 错误类型、处理、恢复 | Section 7 |
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### Agent Prompts
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**Architecture Analysis:**
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```javascript
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Task({
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subagent_type: "cli-explore-agent",
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prompt: `
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## 分析目标
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分析项目的系统架构，为"系统架构图"章节提供数据。
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## 分析内容
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1. 分层结构：识别代码的分层（Controller/Service/Repository）
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2. 模块边界：各模块的职责范围和边界
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3. 依赖关系：模块间的依赖方向和类型
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4. 核心组件：系统的核心组件及其作用
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5. 数据流向：数据在各层之间的流动路径
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## 输出格式
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{
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"layers": [{name, components, responsibility}],
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"modules": [{name, path, responsibility, dependencies}],
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"data_flow": [{from, to, data_type, description}],
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"core_components": [{name, type, responsibility}]
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}
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`
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})
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```
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**Function Analysis:**
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```javascript
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prompt = `
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## 分析目标
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分析项目的功能模块，为"功能模块设计"章节提供数据。
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## 输出格式
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{
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"feature_list": [{id, name, description, module, entry_file}],
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"feature_groups": [{group_name, features: []}],
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"feature_hierarchy": {root: {children: [...]}},
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"interactions": [{caller, callee, trigger, description}],
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"key_workflows": [{name, steps: [], files_involved}]
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}
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`
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```
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**Algorithm Analysis:**
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```javascript
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prompt = `
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## 分析目标
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分析项目的核心算法和业务逻辑，为"核心算法与流程"章节提供数据。
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## 输出格式
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{
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"algorithms": [{
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name, file, line, description, complexity,
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inputs: [{name, type, description}],
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outputs: [{name, type, description}],
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steps: [{step_num, description, type, next, conditions}]
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}],
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"complex_functions": [{name, file, cyclomatic_complexity}]
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}
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`
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```
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**Data Structure Analysis:**
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```javascript
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prompt = `
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## 分析目标
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分析项目的数据结构，为"数据结构设计"章节提供数据。
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## 输出格式
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{
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"entities": [{
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name, file, type,
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properties: [{name, type, visibility, description}],
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methods: [{name, params, return_type, visibility}]
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}],
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"relationships": [{from, to, type, cardinality, description}],
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"enums": [{name, values: [{name, value, description}]}]
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}
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`
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```
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**Interface Analysis:**
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```javascript
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prompt = `
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## 分析目标
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分析项目的接口设计，为"接口设计"章节提供数据。
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## 输出格式
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{
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"apis": [{
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name, path, method, description,
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parameters: [{name, type, required, description}],
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response: {type, schema, description},
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category
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}],
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"protocols": [{name, type, description}]
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}
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`
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```
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**Exception Analysis:**
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```javascript
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prompt = `
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## 分析目标
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分析项目的异常处理机制，为"异常处理设计"章节提供数据。
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## 输出格式
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{
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"exception_types": [{name, parent, code, message, file}],
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"error_codes": [{code, message, severity, category}],
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"handling_patterns": [{pattern, locations: [], description}],
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"recovery_strategies": [{strategy, trigger, action, files}]
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}
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`
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```
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## Output
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Save each analysis to `analysis-{dimension}.json`.
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