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Use Cases

Goal: Quickly find the best solutions based on actual work scenarios
Target Audience: Users with specific task requirements who want to get started quickly
Usage: Select corresponding sections based on work scenarios

How to Use This Document​

Quick Start (5 minutes)​

If you are a new user or need to get started quickly, recommended reading order:

  1. Identify your role → Check Classification by Work Role
  2. Learn basic operations → Read the "Quick Start Process" for your role
  3. Configure necessary tools → Refer to the "Recommended Configuration" section
  4. Start practicing → Follow the "Learning Path" to gradually deepen your knowledge

Choose Reading Path Based on Your Needs​

Your SituationRecommended Reading PathEstimated Time
New user, want to get started quicklyRole Classification → Learning Path15 minutes
Have specific tasks to completeTask Type Classification → Solutions10 minutes
Different project stage requirementsProject Stage Classification → Recommended Configuration8 minutes
Encountered problems and need helpQuick Problem Resolution5 minutes
Looking for best practice examplesSuccess Stories10 minutes

Document Index​

Classification by Work Role​

Classification by Task Type​

Classification by Project Stage​

Quick Problem Resolution​

Success Stories​

Classification by Work Role​

Frontend Developer​

Applicable Scenarios: Component development, UI debugging, responsive design, performance optimization
Tech Stack: React, Vue, Angular, CSS, HTML, JavaScript/TypeScript
Estimated Learning Time: 75 minutes

Quick Start Process​

# 1. Project initialization
cd my-react-project
iflow
> /init

# 2. Install frontend-related MCP tools
!iflow mcp add-json 'playwright' '{"command":"npx","args":["-y","@iflow-mcp/playwright-mcp"]}'

# 3. Common task examples
> Create a responsive user card component with dark mode support
> Help me optimize the rendering performance of this React component
> Analyze accessibility issues on the current page
  • Core Features: Interactive Mode Image Processing
  • Essential Tools: Playwright MCP (UI testing), Image Tools MCP (image processing)
  • Workflow: Screenshot analysis → Code generation → Automated testing

Learning Path​

  1. Quick Start → Basic Usage (20 minutes)
  2. Interactive Mode → MCP Extensions (30 minutes)
  3. Best Practices (20 minutes)

Backend Developer​

Applicable Scenarios: API design, database operations, performance optimization, system integration
Tech Stack: Node.js, Python, Java, Go, databases, microservices architecture
Estimated Learning Time: 75 minutes

Quick Start Process​

# 1. API project analysis
cd my-api-project
iflow
> /init
> Analyze the architecture of this API project and generate interface documentation

# 2. Database-related operations
> Design user table structure based on business requirements
> Optimize the performance of this SQL query
> Generate database migration scripts
  • Core Features: Shell Command Integration
  • Essential Tools: Database MCP, Git Helper MCP, System Monitor MCP
  • Workflow: Code analysis → Architecture design → Test verification

Learning Path​

  1. Quick Start → Basic Usage (20 minutes)
  2. MCP Extensions → Sub-agent Configuration (40 minutes)
  3. Advanced Configuration (15 minutes)

Data Analyst​

Applicable Scenarios: Data cleaning, statistical analysis, visualization, report generation
Tech Stack: Python, R, SQL, Jupyter, Excel, Tableau, Power BI
Estimated Learning Time: 60 minutes

Quick Start Process​

# 1. Data file analysis
iflow
> @data/sales_2024.csv Analyze this sales data and identify main trends
> Generate Python script for monthly sales reports
> Create interactive data visualization charts
  • Core Features: File Reference Processing
  • Essential Tools: Excel Processor MCP, PDF Tools MCP, Image Tools MCP
  • Workflow: Data import → Analysis processing → Visualization → Report generation

Learning Path​

  1. Quick Start → Interactive Mode (25 minutes)
  2. MCP Extensions (20 minutes)
  3. Best Practices (15 minutes)

DevOps Engineer​

Applicable Scenarios: Automated deployment, monitoring and alerting, infrastructure management
Tech Stack: Docker, Kubernetes, CI/CD, monitoring tools, cloud platforms
Estimated Learning Time: 70 minutes

Quick Start Process​

# 1. Deployment script optimization
iflow
> Analyze existing Docker configuration and provide optimization suggestions
> Create CI/CD pipeline configuration
> Design monitoring and alerting strategies
  • Core Features: Shell Command Execution
  • Essential Tools: System Monitor MCP, Network Tools MCP, Git Helper MCP
  • Workflow: Environment analysis → Script generation → Automated deployment → Monitoring configuration

Learning Path​

  1. Quick Start → Basic Usage (20 minutes)
  2. MCP Extensions → Observability Features (30 minutes)
  3. Best Practices (20 minutes)

Classification by Task Type​

Code Analysis and Refactoring​

Scenario Description​

Need to understand existing code structure, identify issues, and perform refactoring optimization

Solutions​

# Comprehensive project analysis
iflow
> /init
> Analyze technical debt and potential issues in this project
> Suggest refactoring strategies and priorities

# Specific code analysis
> @src/components/UserProfile.tsx What can be optimized in this component?
> Check the entire project for security vulnerabilities

Feature Development​

Scenario Description​

From requirements to complete implementation of a new feature

Solutions​

# Requirements analysis
iflow
> I need to implement a user authentication system, including registration, login, and password reset features

# Step-by-step implementation
> Design database table structure
> Generate backend API interfaces
> Create frontend components
> Write test cases

Problem Debugging​

Scenario Description​

Code has bugs, need to quickly locate and fix issues

Solutions​

# Error information analysis
iflow
> !npm test  # Run tests to see errors
> What does this error message mean, and how to fix it?

# Log analysis
> @logs/error.log Analyze this error log and find the root cause
> Provide solutions and preventive measures

Learning New Technologies​

Scenario Description​

Learning new programming languages, frameworks, or tools

Solutions​

# Technology learning
iflow
> I want to learn React Hooks, please give me a complete learning plan
> Explain what Docker is and provide practical examples
> Compare the pros and cons of Vue and React

Classification by Project Stage​

Project Initiation Stage​

Main Tasks: Technology selection, architecture design, environment setup

# Technology stack analysis
iflow
> I want to develop an e-commerce website, help me analyze technology stack choices
> Compare the pros and cons of different frontend frameworks
> Design overall system architecture

# Project scaffolding
> Create a React + TypeScript + Vite project template
> Configure ESLint and Prettier
> Set up CI/CD pipeline

Recommended Configuration: Basic features + MCP extensions

Development Stage​

Main Tasks: Feature implementation, code review, issue fixing

# Feature development
iflow
> Implement user login functionality
> Create product list component
> Integrate payment interface

# Code optimization
> Review the performance of this function
> Refactor duplicate code
> Add unit tests

Recommended Configuration: Complete features + specialized agents

Testing Stage​

Main Tasks: Functional testing, performance testing, security testing

# Test automation
iflow
> Generate API interface test cases
> Create E2E test scripts
> Analyze performance bottlenecks

# Security checks
> Check for security vulnerabilities in code
> Validate user input handling
> Analyze dependency package security

Recommended Configuration: MCP testing tools + security agents

Deployment Stage​

Main Tasks: Environment configuration, deployment automation, monitoring and alerting

# Deployment configuration
iflow
> Generate Docker configuration files
> Create Kubernetes deployment scripts
> Configure monitoring and alerting rules

# Operations scripts
> Create database backup scripts
> Set up log rotation configuration
> Write health check interfaces

Recommended Configuration: DevOps tools + system monitoring

Quick Problem Resolution​

"I don't know where to start"​

Problem Symptoms: Installed iFlow CLI but don't know how to use it or where to start learning
Resolution Time: 10 minutes

Immediate Actions:

  1. Quick Experience: Run iflow then enter > Hello, help me analyze the current directory
  2. Identify Your Role: Find your role in the Classification by Work Role above
  3. Follow Guidelines: Start practicing according to the "Quick Start Process" for your role

Further Learning: 5-minute Quick Start → Basic Usage

"Features are insufficient, need more tools"​

Problem Symptoms: Basic features cannot meet work requirements, need to connect databases, process files, etc.
Resolution Time: 15 minutes

Immediate Actions:

  1. Understand MCP System: Read MCP Extension System to learn about available tools
  2. Install Necessary Tools: Install recommended MCP tools based on your role
  3. Configure Professional Assistants: Set up Specialized Sub-agents to enhance professional capabilities

Common Tool Recommendations:

  • Frontend: Playwright MCP (UI testing), Image Tools MCP (image processing)
  • Backend: Database MCP, Git Helper MCP, System Monitor MCP
  • Data: Excel Processor MCP, PDF Tools MCP
  • Operations: System Monitor MCP, Network Tools MCP

"Low efficiency, want better workflow"​

Problem Symptoms: Can use it but efficiency is low, many repetitive operations, no standardized process
Resolution Time: 20 minutes

Immediate Actions:

  1. Learn Best Practices: Read Best Practices Guide
  2. Optimize Configuration: Refer to Advanced Settings to adjust performance
  3. Establish Standards: Create iFlow CLI usage standards for your team

Efficiency Enhancement Tips:

  • Use /init to establish project context and reduce repetitive explanations
  • Configure commonly used MCP tools to avoid repeated installations
  • Establish code templates and shortcuts for common commands

"Encountered errors or technical issues"​

Problem Symptoms: Command execution failures, connection exceptions, features not working
Resolution Time: 5-10 minutes

Immediates:

  1. Check Basic Environment: Confirm network connection and API key are correct
  2. Review Error Information: Copy complete error information for iFlow CLI analysis
  3. Restart and Retry: Use /clear to clear context and retry

Get Help:

Common Problem Checklist:

  • Is the API key correctly set?
  • Can the network access normally?
  • Are you using the latest version?

Success Stories​

Case 1: Web Development Team Efficiency Improvement​

Background: 5-person React development team with time-consuming code reviews and many repetitive tasks

Solution:

  • Unified configuration of iFlow CLI + Code Review agents
  • Established code templates and best practices documentation
  • Automated testing and deployment processes

Results: Code review time reduced by 60%, bug rate decreased by 40%

Case 2: Data Analysis Workflow Optimization​

Background: Data analysts need to process various data formats, and report generation is cumbersome

Solution:

  • Configured Excel/PDF processing MCP tools
  • Created report generation templates
  • Established standardized data processing workflows

Results: Report generation time reduced by 70%, analysis accuracy improved

Case 3: DevOps Automation Upgrade​

Background: Operations team has many manual operations, deployments prone to errors

Solution:

  • Deployed System Monitor and Network Tools
  • Created standardized deployment scripts
  • Established monitoring and alerting system

Results: Deployment success rate improved to 99%, incident response time reduced by 50%

Next Learning Suggestions​

Choose Based on Your Current Status​

Just Getting Started:

  1. Complete Quick Start basic setup
  2. Choose your role and follow the corresponding "Quick Start Process"
  3. Try a simple real project

Want to Improve Efficiency:

  1. Learn Best Practices
  2. Configure MCP Extension System
  3. Set up Specialized Sub-agents

Team Usage:

  1. Establish team usage standards
  2. Create shared configurations and templates
  3. Share successful experiences and best practices

Advanced Usage:

  1. Explore Advanced Configuration
  2. Participate in Community Discussions
  3. Contribute your usage experience and improvement suggestions

Additional Resources​

Tip: This document is continuously updated. We recommend bookmarking it for easy reference. If you have good use cases or suggestions, feel free to share them with the community through GitHub!