Imported from quqi-ai/project-analyzer-skill (project-analyzer/SKILL.md). Install upstream with npx skills add quqi-ai/project-analyzer-skill --skill project-analyzer. Copyright stays with the author.

Project Analyzer

Analyzes Java project structure and generates comprehensive documentation to help developers and AI agents understand the codebase.

Core Principles

• Read-only: Only analyze code, never modify it
• Evidence-based: All conclusions must be based on observable code or configuration
• No speculation: If information isn't available in the codebase, state it explicitly
• No side effects: Do not execute builds, call networks, or run tests

Analysis Workflow

1. Initial Discovery

Start by identifying the project type and structure:

1. Check for multi-module structure: Look for parent pom.xml with <modules> section
2. Identify project root: Find the main application entry point (@SpringBootApplication)
3. Check build files: Examine pom.xml or build.gradle for dependencies

2. Technology Stack Analysis

Analyze dependencies and configurations to identify:

Frameworks:

• Spring Boot version (check pom.xml for spring-boot-starter-parent)
• Spring Cloud components (Gateway, Feign, Config, etc.)
• Persistence frameworks (MyBatis, JPA, MyBatis-Plus)
• Web frameworks (Spring MVC, WebFlux)

Middleware & Infrastructure:

• Message queues (check for RabbitMQ, Kafka, RocketMQ dependencies)
• Caching (Redis, Caffeine, Ehcache)
• Service discovery (Nacos, Eureka, Consul)
• Databases (check application.yml for datasource configurations)

Development Tools:

• Lombok, MapStruct, Swagger/OpenAPI
• Testing frameworks (JUnit, Mockito, TestContainers)

Search patterns:

# Find Spring Boot version
grep -r "spring-boot-starter-parent" --include="pom.xml"

# Find middleware dependencies
grep -r "spring-boot-starter-data-redis\|rabbitmq\|kafka\|nacos" --include="pom.xml"

# Find database configurations
grep -r "url:\|driver-class-name:" --include="*.yml" --include="*.yaml" --include="*.properties"

3. Project Structure Analysis

Map out the module and package organization:

For multi-module projects:

1. Read parent pom.xml to list all modules
2. For each module, identify its purpose from naming and dependencies
3. Common module patterns:
   • *-api: API definitions, DTOs, interfaces
   • *-service: Business logic implementation
   • *-web: Web controllers, REST APIs
   • *-dao / *-mapper: Data access layer
   • *-common: Shared utilities, constants
   • *-model / *-entity: Domain models

Package structure analysis:

# Find main package structure
find . -type d -name "java" -o -name "com" -o -name "cn" | head -20

# Identify common layers
find . -name "controller" -o -name "service" -o -name "dao" -o -name "mapper" -o -name "config"

4. Key Components Discovery

Identify critical components in order of importance:

Application Entry Points:

• Classes annotated with @SpringBootApplication
• Main methods

Configuration Classes:

• Classes with @Configuration
• Files in config/ packages
• application.yml, application.properties, bootstrap.yml

Core Business Modules:

• Service interfaces and implementations
• Domain models and entities
• Key controllers for main features

Infrastructure Components:

• Database mappers/repositories
• Message queue consumers/producers
• Scheduled tasks (@Scheduled)
• Filters, interceptors, aspect classes

Search patterns:

# Find application entry points
grep -r "@SpringBootApplication" --include="*.java"

# Find configuration classes
grep -r "@Configuration" --include="*.java"

# Find scheduled tasks
grep -r "@Scheduled" --include="*.java"

# Find MQ consumers
grep -r "@RabbitListener\|@KafkaListener" --include="*.java"

5. Configuration Analysis

Document all configuration sources:

Spring configuration files:

• application.yml / application.properties (default profile)
• application-{profile}.yml (environment-specific)
• bootstrap.yml (for Spring Cloud Config)

External configuration:

• Check for Nacos configuration references
• Environment variables (look for ${ENV_VAR} patterns)
• System properties

Configuration hierarchy:

1. List all configuration files found
2. Identify active profiles from config or startup parameters
3. Document key configurations: datasource, Redis, MQ, Nacos, ports

6. Internal SDK & Dependencies

Identify internal/custom libraries:

Search for internal artifacts:

# Find internal dependencies (usually from company groupId)
grep -r "<groupId>com\.company\|<groupId>cn\.company" --include="pom.xml"

# Find local JAR references
grep -r "systemPath\|scope>system" --include="pom.xml"

# Check lib directories
find . -type d -name "lib" -o -name "libs"

Document for each internal SDK:

• Artifact name and version
• Purpose (infer from naming and usage in code)
• Key classes/interfaces it provides
• Where it's used in the project

Search for usage:

# Find imports from internal packages
grep -r "import com\.company" --include="*.java" | cut -d: -f2 | sort | uniq

7. Development Guidelines Extraction

Extract rules and patterns from the codebase:

Architectural patterns:

• Observe consistent patterns (e.g., "All services implement interfaces")
• Layer separation rules (e.g., "Controllers only call services, never DAOs")
• Naming conventions

Common utilities:

• Response wrapper classes
• Exception handling patterns
• Validation patterns

Infer restrictions:

• If all external API calls go through a specific client class → "All external calls must use XxxClient"
• If all database operations use MyBatis → "Direct JDBC is not used"
• If all AI calls use a specific interface → "All AI calls must go through AiClient"

Local development requirements:

• Check README.md or docs/ for setup instructions
• Identify required services from configuration (Redis, Nacos, MySQL, etc.)
• Look for Docker Compose files

Search patterns:

# Find README files
find . -name "README*" -o -name "readme*"

# Find Docker Compose
find . -name "docker-compose*.yml"

# Find documentation
find . -type d -name "doc" -o -name "docs"

Output Format

Generate a Markdown document with the following structure:

# {Project Name} - Project Structure Documentation

> Generated on {date} | Analysis Type: Static Code Analysis

## 📋 Project Overview

- **Project Name**: {name}
- **Type**: {Single Module / Multi-Module}
- **Primary Language**: Java {version}
- **Build Tool**: Maven / Gradle
- **Main Framework**: Spring Boot {version}

## 🛠️ Technology Stack

### Core Frameworks
- Spring Boot {version}
- Spring Cloud {components if present}
- {Other frameworks}

### Middleware & Infrastructure
- **Service Discovery**: {Nacos / Eureka / None}
- **Configuration Center**: {Nacos / Config Server / None}
- **Cache**: {Redis / Caffeine / None}
- **Message Queue**: {RabbitMQ / Kafka / None}
- **Database**: {MySQL / PostgreSQL / etc.}

### Development Tools
- {Lombok, MapStruct, Swagger, etc.}

## 🏗️ Project Architecture

### Module Structure
{For multi-module projects, list modules}

project-root/ ├── module-api/ - {Purpose} ├── module-service/ - {Purpose} ├── module-web/ - {Purpose} └── module-common/ - {Purpose}

### Package Structure
{Describe package organization}

com.company.project/ ├── controller/ - REST API endpoints ├── service/ - Business logic │ ├── impl/ │ └── {domain}/ ├── dao/mapper/ - Data access ├── model/entity/ - Domain models ├── config/ - Configuration classes └── util/ - Utility classes

### Layered Architecture

┌─────────────────────────────────┐ │ Controller Layer │ ← HTTP requests ├─────────────────────────────────┤ │ Service Layer │ ← Business logic ├─────────────────────────────────┤ │ DAO/Mapper Layer │ ← Data access ├─────────────────────────────────┤ │ Infrastructure Layer │ ← Redis, MQ, External APIs └─────────────────────────────────┘

## 🔑 Key Components

### Application Entry Point
- `{path/to/Application.java}` - Main application class

### Core Business Modules
- **{Feature 1}**: {path} - {Description}
- **{Feature 2}**: {path} - {Description}

### Configuration Files
- `{path/to/application.yml}` - Main configuration
- `{path/to/application-dev.yml}` - Dev environment
- `{path/to/application-prod.yml}` - Production environment

### Infrastructure Components
- **Database Mappers**: `{path}` - {Count} mapper interfaces
- **Scheduled Tasks**: `{path}` - {Description}
- **Message Consumers**: `{path}` - {Description}

## 📦 Internal SDKs & Dependencies

### Internal Dependencies
1. **{artifact-name}** (`{groupId}:{artifactId}:{version}`)
   - **Purpose**: {Inferred purpose}
   - **Key Classes**: {List main classes/interfaces}
   - **Used In**: {Where it's imported}

2. **{another-sdk}**
   - ...

### External Key Dependencies
- {List critical 3rd party libraries}

## ⚙️ Configuration & Environment

### Configuration Sources
1. **Spring Configuration**: `application.yml`, `application-{profile}.yml`
2. **Nacos Configuration**: {If applicable}
   - Namespace: {value}
   - Group: {value}
   - DataId: {value}
3. **Environment Variables**: {List if found}

### Key Configurations
- **Server Port**: {port}
- **Database**: {connection details location}
- **Redis**: {configuration location}
- **Nacos**: {server address}

## 📐 Development Guidelines

### Architectural Rules
{Rules observed from code patterns}

- **Layer Separation**: Controllers must not directly access DAO layer
- **Service Interfaces**: All services implement interfaces in {package}
- **{Other patterns}**

### Conventions
- **Naming**: {Observed naming patterns}
- **Response Format**: All APIs return `Result<T>` wrapper (see `{path}`)
- **Exception Handling**: Unified exception handler at `{path}`

### Recommended Extension Points
- **Add New Feature**: Create service in `{package}`, controller in `{package}`
- **Add New Entity**: Place in `{package}`, create mapper in `{package}`
- **Add Configuration**: Add to `{config class}` or `application.yml`

### Prohibited Practices
{Inferred from codebase patterns}

- Do not bypass {XxxClient} for {external service} calls
- Do not use direct JDBC; use {MyBatis/JPA}
- Do not put business logic in Controller layer

### Local Development Requirements

**Required Services:**
- {Service 1} (e.g., MySQL 5.7+)
- {Service 2} (e.g., Redis 6.0+)
- {Service 3} (e.g., Nacos 2.0+)

**Setup Steps:**
{If found in README or docs}

**Startup Order:**
1. {Step 1}
2. {Step 2}

## 📚 Additional Resources

- **Documentation**: `{path to docs folder}`
- **API Documentation**: {Swagger URL if configured}
- **README**: `{path to README}`

---

*Note: This documentation was generated through static code analysis. For runtime behavior or deployment specifics, consult the team or deployment documentation.*

Tips for Effective Analysis

1. Start broad, then deep: Begin with project structure, then drill into specific areas
2. Use parallel searches: Run multiple grep/find commands together when possible
3. Verify with multiple sources: Cross-reference pom.xml with actual code usage
4. Be explicit about gaps: If you can't find something, say "Not found in codebase" rather than guessing
5. Focus on patterns: Look for repeated patterns to infer architectural rules
6. Respect scope: Analyze only what's in the project; don't make assumptions about external systems

When to Use This Skill

Trigger this skill when:

• User asks to "analyze project structure" or "generate project documentation"
• Starting work on an unfamiliar codebase
• Onboarding new team members or AI agents
• User asks "what is the architecture" or "how is this project organized"
• User needs context about internal SDKs or development guidelines
• User asks about tech stack, dependencies, or configuration

What NOT to Do

• ❌ Do not run builds (mvn clean install, gradle build)
• ❌ Do not execute tests
• ❌ Do not make network calls or query external services
• ❌ Do not modify any code or configuration files
• ❌ Do not speculate about things not visible in code
• ❌ Do not assume technologies based on company conventions; only state what's observable