SpecPulse v2.7.5

The Complete AI-Enhanced Development Framework

Build better software with specifications first, powered by AI assistants across 8 major platforms

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🚀 What Makes SpecPulse Revolutionary?

SpecPulse is not just another CLI tool - it's a complete development framework that bridges the gap between your ideas and production code. By combining structured specifications with AI-powered assistance, SpecPulse transforms how you build software.

🎯 The Core Problem We Solve

Traditional development is chaotic:

• ❌ Ideas jump directly to coding without proper planning
• ❌ Requirements get lost in scattered documentation
• ❌ AI assistants lack context about your project structure
• ❌ Teams work without clear specifications or task breakdowns

✅ Our Solution: Specification-Driven Development

SpecPulse introduces AI-Enhanced Specification-Driven Development:

1. Specifications First - Clear, detailed specs before any code
2. AI-Powered - Your favorite AI assistant helps create and expand specs
3. Structured Planning - Break down features into manageable tasks
4. Universal Integration - Works across 8 major AI platforms
5. CLI Foundation - Reliable command-line structure with AI enhancement

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🤖 Universal AI Platform Support

SpecPulse works everywhere you work - supporting 8 major AI platforms with identical functionality:

Platform	Integration Type	Commands	Status
Claude Code	Custom Slash Commands	/sp-*	✅ Full Support
Gemini CLI	Custom Commands	/sp-*	✅ Full Support
Windsurf	Custom Slash Commands	/sp-*	✅ Full Support
Cursor	Custom Slash Commands	/sp-*	✅ Full Support
GitHub Copilot	Custom Prompts	.prompt.md	✅ Full Support
OpenCode	Agent-Based Workflow	/sp-*	✅ Full Support
Crush	Category Commands	/sp-*	✅ Full Support
Qwen Code	TOML Configuration	/sp-*	✅ Full Support

🔄 Identical Experience Across All Platforms

The same 11 commands work everywhere with identical functionality:

# These commands work identically on ALL 8 platforms:
/sp-pulse payment-system          # Initialize new feature - START HERE
/sp-spec "User authentication"    # Create specification
/sp-plan                          # Generate implementation plan
/sp-task                          # Break down into tasks
/sp-execute                       # Execute tasks continuously
/sp-status                        # Check progress
/sp-validate                      # Validate work
/sp-continue feature-id           # Switch to existing feature
/sp-decompose spec-id             # Decompose specifications
/sp-clarify spec-id               # Clarify requirements
/sp-llm-enforce [action]          # LLM compliance enforcement

🎯 IMPORTANT: Always start with /sp-pulse - this is your entry point to everything!

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🎯 The Magic: How SpecPulse Works

The CLI-AI Partnership

SpecPulse uses a revolutionary CLI-First with AI Enhancement approach:

You: /sp-spec "OAuth2 authentication system"
  ↓
Step 1: CLI Creates Foundation (Always Works)
   specpulse spec create "OAuth2 authentication system"
   ✓ Creates empty spec file
   ✓ Adds metadata and structure
   ✓ Updates project directories
  ↓
Step 2: AI Enhances Content (Safe Operations)
   AI reads created file
   AI adds detailed requirements and technical specs
   AI enhances with comprehensive documentation
  ↓
Result: Complete, detailed specification ready for development

Why This Approach Is Game-Changing

✅ CLI First: Creates reliable, cross-platform structure that never fails ✅ AI Enhanced: Leverages AI for what it does best - detailed content creation ✅ Fallback Protection: Work continues even if CLI fails ✅ Platform Independence: Works identically on Windows, macOS, Linux ✅ Safe Operations: AI only works on files CLI has created

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🚀 Getting Started: Your Complete First Project

Let's build your first feature with SpecPulse step by step:

Step 1: Installation and Project Setup

# Install SpecPulse
pip install specpulse

# Create your first project (choosing your AI platform)
specpulse init my-awesome-project --ai claude
cd my-awesome-project

Project Structure Created:

my-awesome-project/
├── .specpulse/          # All your project data (specs, plans, tasks)
├── .claude/             # Claude Code commands (auto-deployed)
├── README.md
└── package.json

Step 2: Initialize Your First Feature

# THE WAY TO START - AI-Powered Approach
# In your AI assistant (Claude, Gemini, Windsurf, Cursor, etc.):
/sp-pulse user-authentication

What happens:

• ✅ Creates feature directory: specs/001-user-authentication/
• ✅ Sets up project context and metadata
• ✅ Updates current working feature tracking
• ✅ Prepares structured environment for development
• ✅ Deploys AI platform-specific commands automatically

Step 3: Create Detailed Specification

# In your AI assistant (Claude, Gemini, Windsurf, Cursor, etc.):
/sp-spec "OAuth2 authentication with JWT tokens"

AI-powered specification includes:

• 🎯 Problem Statement: Clear business problem and solution overview
• 🔧 Functional Requirements: Complete feature functionality
• 🔐 Security Requirements: Authentication, authorization, data protection
• 🎨 User Experience: UI/UX considerations and user flows
• 🔌 API Design: Endpoint specifications and data contracts
• 💾 Data Models: Database schemas and relationships
• ✅ Acceptance Criteria: How to verify the implementation works

Step 4: Generate Implementation Plan

# In your AI assistant (works on all platforms):
/sp-plan

AI generates comprehensive plan:

• 🏗️ Architecture Decisions: Technology choices and system design
• 📁 File Structure: What files need to be created/modified
• 🔄 Implementation Steps: Sequential development approach
• 🔗 Dependencies: What needs to be built first
• ⏱️ Time Estimates: Realistic development timelines
• 🧪 Testing Strategy: How to ensure quality and reliability

Step 5: Break Down into Development Tasks

# In your AI assistant:
/sp-task

AI creates actionable tasks:

---
id: task-001
status: todo
title: "Set up authentication middleware"
description: |
  - What problem does this solve?: Foundation for secure route protection
  - Why is this necessary?: All protected endpoints require authentication
  - How will this be done?: Express middleware with JWT validation
  - When is this complete?: Middleware successfully validates tokens

files_touched:
  - path: src/middleware/auth.js
    reason: "JWT token validation middleware"

goals: ["Secure authentication middleware", "JWT token validation"]

success_criteria: ["Valid tokens pass", "Invalid tokens are rejected"]

dependencies: []
next_tasks: ["task-002", "task-003"]
---

Step 6: Execute Tasks Continuously

# Execute next task and continue automatically
/sp-execute

# OR execute ALL tasks without stopping
/sp-execute all

# OR execute specific task
/sp-execute task-001

What happens during execution:

1. 🎯 Task Selection: Finds next pending task
2. 🔄 Status Update: Marks task as "in-progress"
3. 💻 Implementation: AI writes the actual code
4. ✅ Validation: Ensures requirements are met
5. 📝 Documentation: Updates task status and moves to next

Step 7: Track Progress and Validate

# Check current progress
/sp-status

# Validate all work completed
/sp-validate

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💡 Real-World Workflow Examples

Example 1: E-commerce Payment System

# 1. Initialize payment feature
/sp-pulse payment-system

# 2. Create comprehensive specification
/sp-spec "Stripe integration with payment processing, refunds, and subscription management"

# 3. Generate detailed implementation plan
/sp-plan

# 4. Break into development tasks
/sp-task

# 5. Execute all tasks continuously
/sp-execute all

# 6. Review progress
/sp-status

Result in 30 minutes:

• ✅ Complete payment specification (12 pages)
• ✅ Implementation plan with 24 tasks
• ✅ Stripe integration code
• ✅ Payment processing logic
• ✅ Refund system
• ✅ Subscription management
• ✅ Error handling and logging
• ✅ Test suite with 95% coverage

Example 2: Real-time Chat Application

# Team collaboration with different AI platforms:
# Backend developer uses Claude Code:
/sp-pulse realtime-chat
/sp-spec "WebSocket-based chat with rooms, typing indicators, and file sharing"

# Frontend developer uses Gemini CLI:
/sp-continue 001-chat
/sp-task

# DevOps engineer uses Windsurf:
/sp-execute task-005  # WebSocket server setup

Result: Seamless collaboration across different AI platforms

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🎯 Complete AI Command Reference

Feature Management Commands

/sp-pulse <feature-name>

Initialize a new feature with intelligent suggestions

# Examples
/sp-pulse user-authentication
/sp-pulse payment-gateway
/sp-pulse real-time-notifications

What it does:

• Creates feature directory structure
• Detects project type (web, mobile, API, etc.)
• Suggests specification approaches
• Sets up project context and metadata

/sp-continue <feature-id>

Switch to existing feature

# Examples
/sp-continue 001-auth
/sp-continue payment-system
/sp-continue 003-notifications

Specification Commands

/sp-spec "<description>"

Create and expand detailed specification

# Examples
/sp-spec "User authentication with OAuth2 and JWT"
/sp-spec "REST API for product catalog with filtering"
/sp-spec "Real-time chat with WebSocket and rooms"

# With explicit action
/sp-spec create "Payment processing system"
/sp-spec update "Add error handling requirements"
/sp-spec validate
/sp-spec clarify

AI generates complete specification with:

• Business problem and solution overview
• Functional and non-functional requirements
• API contracts and data models
• Security and performance considerations
• User experience and interface design
• Acceptance criteria and success metrics

/sp-spec validate

Validate specification completeness

# Validate current feature's specifications
/sp-spec validate

/sp-spec clarify

Clarify and expand specification details

# Clarify current feature's specifications
/sp-spec clarify

Planning Commands

/sp-plan

Generate and expand implementation plan

# Generate plan (default)
/sp-plan

# With explicit action
/sp-plan generate
/sp-plan validate
/sp-plan optimize

AI creates:

• Architecture decisions and technology choices
• File structure and organization
• Implementation steps in logical order
• Dependencies and integration points
• Risk assessment and mitigation strategies

/sp-plan validate

Validate implementation plan

# Validate current feature's plan
/sp-plan validate

Task Management Commands

/sp-task

Break plan into detailed, actionable tasks

# Break down into tasks (default)
/sp-task

# With explicit action
/sp-task breakdown
/sp-task update
/sp-task status
/sp-task validate

Each task includes:

• Clear problem statement and necessity
• Step-by-step implementation approach
• Files to be created/modified with reasons
• Success criteria and acceptance tests
• Dependencies and task relationships
• Risk assessment and mitigation
• MoSCoW priority breakdown (Must, Should, Could, Won't)

/sp-task validate

Validate task completeness and correctness

# Validate current feature's tasks
/sp-task validate

Execution Commands

/sp-execute [task-id|all]

Execute tasks continuously without stopping

# Execute next pending task
/sp-execute

# Execute ALL pending tasks non-stop
/sp-execute all

# Execute specific task
/sp-execute task-001
/sp-execute auth-middleware

Execution behavior:

• Marks task as in-progress
• Implements requirements with code
• Validates against success criteria
• Updates task status to completed
• Automatically moves to next task
• Continues until all tasks done or blocked

Progress and Validation Commands

/sp-status

Show comprehensive project progress

# Shows:
# - Overall completion percentage
# - Feature-by-feature progress
# - Task status breakdown (pending/in-progress/completed/blocked)
# - Current blockers and issues
# - Time estimates and velocity
# - Quality metrics and test coverage

/sp-validate

Validate all project artifacts

# Validates:
# - Specification completeness and quality
# - Plan feasibility and coverage
# - Task breakdown and dependencies
# - Code quality and test coverage
# - Documentation and standards compliance

Advanced Commands

/sp-decompose <spec-id>

Decompose specification into components

# Examples
/sp-decompose spec-001
/sp-decompose auth-spec

Useful for:

• Microservices architecture design
• Component-based development
• Team distribution and parallel work
• Complex feature breakdown

/sp-clarify <spec-id>

Clarify requirements and resolve ambiguities

# Examples
/sp-clarify spec-001
/sp-clarify payment-spec

Helps resolve:

• Unclear requirements
• Missing details
• Conflicting specifications
• Implementation questions

/sp-continue <feature-id>

Switch to existing feature and continue work

# Examples
/sp-continue 001-auth
/sp-continue payment-system
/sp-continue 003-notifications

Use this to:

• Switch between different features
• Resume work on existing features
• Change context in multi-feature projects

/sp-llm-enforce [action]

LLM compliance enforcement and monitoring

# Start enforcement session (default)
/sp-llm-enforce

# Check compliance status
/sp-llm-enforce status

# Validate operations against rules
/sp-llm-enforce validate

# End enforcement session
/sp-llm-enforce end

Ensures:

• Directory traversal protection
• File operation security
• Content validation and sanitization
• Compliance with SpecPulse rules
• Audit trail generation

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🏗️ Project Structure and Organization

Complete Directory Structure

your-project/
├── .specpulse/                    # All SpecPulse data (git-tracked)
│   ├── specs/                     # Feature specifications
│   │   ├── 001-user-auth/
│   │   │   ├── spec-001.md       # Main specification
│   │   │   ├── decomposition/    # Service breakdown (if microservices)
│   │   │   └── references/       # External docs and links
│   │   ├── 002-payment-system/
│   │   └── ...
│   ├── plans/                     # Implementation plans
│   │   ├── 001-user-auth/
│   │   │   ├── plan-001.md       # Implementation plan
│   │   │   └── alternatives.md   # Alternative approaches
│   │   └── ...
│   ├── tasks/                     # Development tasks
│   │   ├── 001-user-auth/
│   │   │   ├── task-001.md       # Individual tasks
│   │   │   ├── task-002.md
│   │   │   └── task-summary.md   # Progress tracking
│   │   └── ...
│   ├── memory/                    # Project context and decisions
│   │   ├── context.md            # Current feature context
│   │   ├── decisions.md          # Architecture decisions
│   │   └── learning.md           # Team knowledge base
│   └── templates/                 # Customizable templates
│       ├── spec.md               # Specification template
│       ├── plan.md               # Planning template
│       └── task.md               # Task template
├── .claude/                       # Claude Code commands
├── .gemini/                       # Gemini CLI commands
├── .windsurf/                     # Windsurf AI workflows
├── .cursor/                       # Cursor AI commands
├── .github/prompts/               # GitHub Copilot prompts
├── .opencode/command/             # OpenCode AI commands
├── .crush/commands/sp/            # Crush AI commands
├── .qwen/commands/                # Qwen Code commands
└── your-project-files/            # Your actual project code

What Gets Tracked vs. What's Generated

✅ Tracked in Git (Important):

• All specifications (.specpulse/specs/)
• Implementation plans (.specpulse/plans/)
• Task definitions and progress (.specpulse/tasks/)
• Project memory and decisions (.specpulse/memory/)
• Custom templates (.specpulse/templates/)

🔄 Generated/Managed (Don't edit manually):

• AI command deployments (.claude/, .gemini/, etc.)
• Temporary working files
• Auto-generated documentation

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💻 Installation and Setup

Project Initialization

# Install SpecPulse
pip install specpulse

# Create new project with AI integration
specpulse init my-project --ai claude

# Add AI support to existing project
specpulse init --here --ai gemini

# Check system health
specpulse doctor

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🎯 Best Practices and Pro Tips

Specification Writing Best Practices

✅ DO:

• Start with clear problem statement
• Include specific acceptance criteria
• Define user stories and use cases
• Specify error handling and edge cases
• Include performance and security requirements
• Add API contracts and data models
• Consider accessibility and internationalization

❌ DON'T:

• Write vague requirements like "make it fast"
• Skip error handling scenarios
• Forget about testing and validation
• Ignore user experience considerations
• Leave security as an afterthought

Task Breakdown Best Practices

✅ DO:

• Break tasks into small, manageable chunks (2-8 hours each)
• Include clear success criteria for each task
• Define dependencies between tasks
• Consider parallel work opportunities
• Include testing and documentation tasks
• Plan for integration and deployment

❌ DON'T:

• Create tasks that are too large (over 16 hours)
• Forget about setup and configuration tasks
• Skip validation and testing tasks
• Ignore deployment and monitoring
• Leave dependencies undefined

Team Collaboration Best Practices

✅ DO:

• Use feature branches for each feature
• Commit specifications and plans
• Review specifications as a team
• Use consistent task numbering
• Track progress with /sp-status
• Hold regular planning meetings

❌ DON'T:

• Work without specifications
• Skip code reviews
• Ignore task dependencies
• Forget about documentation
• Work in isolation without communication

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🔄 Advanced Workflows and Patterns

Microservices Architecture

# 1. Create monolithic specification first
/sp-pulse user-management
/sp-spec "Complete user management system with profiles, authentication, and preferences"

# 2. Decompose into services
/sp-decompose spec-001

# This creates:
# - User Service (profiles, preferences)
# - Auth Service (authentication, authorization)
# - Notification Service (emails, push notifications)
# - API Gateway (routing, rate limiting)

# 3. Generate service-specific tasks
/sp-task

# 4. Execute by service team
/sp-execute task-001  # User Service setup
/sp-execute task-005  # Auth Service setup

Legacy System Modernization

# 1. Document existing system
/sp-pulse legacy-modernization
/sp-spec "Modernize legacy monolith to microservices: current state analysis and migration strategy"

# 2. Create migration plan
/sp-plan

# 3. Break into migration phases
/sp-task

# 4. Execute migration incrementally
/sp-execute task-001  # Phase 1: Strangler Fig pattern setup
/sp-execute task-002  # Phase 2: Extract user management

API-First Development

# 1. Design API first
/sp-pulse product-catalog-api
/sp-spec "REST API for product catalog with CRUD operations, search, filtering, and pagination"

# 2. Generate OpenAPI specification
# (AI includes OpenAPI spec in the generated specification)

# 3. Create implementation plan
/sp-plan

# 4. Implement API
/sp-execute all

Mobile App Development

# 1. Define mobile app features
/sp-pulse mobile-expense-tracker
/sp-spec "Mobile expense tracking app with receipt scanning, categorization, and reporting"

# 2. Plan platform-specific implementation
/sp-plan

# 3. Break into platform-specific tasks
/sp-task

# 4. Develop by platform
/sp-execute task-001  # React Native setup
/sp-execute task-005  # iOS-specific features
/sp-execute task-010  # Android-specific features

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🛠️ Configuration and Customization

Custom Templates

Create your own templates for consistent project standards:

# Create custom specification template
specpulse template create enterprise-spec --type spec

# Edit the template
# .specpulse/templates/enterprise-spec.md

# Use custom template
/sp-spec "New feature" --template enterprise-spec

Project Configuration

Customize SpecPulse behavior for your project:

# .specpulse/config.yml
project:
  name: "My Enterprise App"
  type: "web"
  team_size: 5

specifications:
  template: "enterprise-spec"
  required_sections:
    - "problem_statement"
    - "requirements"
    - "api_design"
    - "security"
    - "testing"

tasks:
  default_estimates:
    simple: 4    # hours
    medium: 8    # hours
    complex: 16  # hours

ai_preferences:
  code_style: "enterprise"
  testing_framework: "jest"
  documentation_style: "jsdoc"

🎯 Success Stories and Use Cases

Startup MVP Development

Challenge: Build and launch MVP in 6 weeks with 2 developers Solution: SpecPulse with Claude Code integration

Week 1: Feature Planning
/sp-pulse user-management
/sp-pulse product-catalog
/sp-pulse order-processing

Week 2-3: Specification and Planning
/sp-spec "Complete user management system"
/sp-spec "Product catalog with search and filtering"
/sp-spec "Order processing with payment integration"
/sp-plan

Week 4-5: Development
/sp-task
/sp-execute all

Week 6: Testing and Deployment
/sp-validate

Result: MVP launched on time with all core features, 95% test coverage

Enterprise System Migration

Challenge: Migrate 500k+ LOC monolith to microservices over 12 months Solution: SpecPulse with team-wide AI integration

Phase 1: Analysis (1 month)
/sp-pulse legacy-analysis
/sp-spec "Complete monolith analysis and service decomposition strategy"

Phase 2: Pilot (2 months)
/sp-pulse user-service-migration
/sp-execute all

Phase 3: Full Migration (9 months)
# Multiple teams working in parallel
# Each team uses /sp-continue to work on their services

Result: Migration completed on schedule with zero downtime, improved performance by 300%

Open Source Project Development

Challenge: Coordinate 50+ contributors across different time zones Solution: SpecPulse with GitHub Copilot integration

# Contributors use GitHub Copilot with /sp-* commands
# All specifications and plans tracked in .specpulse/
# Clear task breakdown enables parallel work
/sp-status shows overall project progress

Result: Development velocity increased by 200%, contributor satisfaction improved

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🔧 Technical Requirements and Compatibility

System Requirements

• Python: 3.11 or higher
• Operating System: Windows 10+, macOS 10.15+, Ubuntu 18.04+
• Memory: 4GB RAM minimum, 8GB recommended
• Storage: 100MB for SpecPulse + project data

AI Platform Requirements

Compatible AI Platforms:

• Claude Code (Anthropic)
• Gemini CLI (Google)
• Windsurf AI (Windsurf)
• Cursor AI (Cursor)
• GitHub Copilot (Microsoft)
• OpenCode AI (OpenCode)
• Crush AI (Crush)
• Qwen Code (Alibaba)

🚀 Performance and Scalability

Benchmarks

Project Initialization:

• Small project (< 100 files): < 2 seconds
• Medium project (100-1000 files): < 5 seconds
• Large project (1000+ files): < 10 seconds

Specification Generation:

• Simple feature: 30-60 seconds
• Complex feature: 2-5 minutes
• Enterprise system: 5-15 minutes

Task Breakdown:

• Small plan (< 10 tasks): < 30 seconds
• Medium plan (10-50 tasks): 1-2 minutes
• Large plan (50+ tasks): 2-5 minutes

Scalability Considerations

Recommended Project Sizes:

• Small Projects: < 50 tasks, < 10 specifications
• Medium Projects: 50-500 tasks, 10-50 specifications
• Large Projects: 500+ tasks, 50+ specifications
• Enterprise: Multiple teams, 1000+ tasks

Performance Optimization:

• Use SSD storage for faster file operations
• Enable file system indexing for large projects
• Use parallel task execution for independent tasks
• Regular cleanup of old completed tasks

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🔒 Security and Privacy

Privacy-First Design

SpecPulse respects your privacy:

• ✅ No external API calls - Everything runs locally
• ✅ No data transmission - Your specifications never leave your system
• ✅ No telemetry - We don't track usage or project data
• ✅ Local AI integration - AI assistants work with your local files only

Security Best Practices

File Security:

• All files created with appropriate permissions
• Sensitive data handling in specifications
• Secure temporary file management
• Path traversal protection

Code Security:

• Input validation and sanitization
• Template injection protection
• Safe file operation practices
• Dependency security scanning

Team Security:

• Git-based access control
• Specification review workflows
• Audit trail for all changes
• Role-based access patterns

Enterprise Security Features

For Enterprise Deployments:

• Air-gapped installation support
• Custom template encryption
• Audit logging and compliance
• Integration with enterprise SSO
• Custom security policies

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🆘 Troubleshooting and Support

Common Issues and Solutions

Issue: Command not found

# Solution: Verify installation
pip show specpulse
python -m specpulse --version

# Reinstall if needed
pip uninstall specpulse
pip install specpulse

Issue: AI commands not working

# Solution: Check AI platform integration
specpulse doctor --fix

# Manually deploy commands
specpulse init --here --ai claude  # Redeploy commands

Issue: File permission errors

# Solution: Check permissions
ls -la .specpulse/
chmod 755 .specpulse/
chmod 644 .specpulse/specs/*.md

Issue: Git integration problems

# Solution: Initialize git repository
git init
git add .
git commit -m "Initial SpecPulse setup"

Getting Help

Self-Service:

# General help
specpulse --help

# Command-specific help
specpulse feature --help
specpulse spec --help

# Health check and diagnostics
specpulse doctor

Community Support:

• GitHub Issues: Report bugs and request features
• GitHub Discussions: Community questions and discussions
• Documentation: Available in the project repository

Debug Mode

Enable detailed logging:

# Enable debug mode
export SPECPULSE_DEBUG=1

# Or for Windows
set SPECPULSE_DEBUG=1

# Run commands with debug output
specpulse doctor

Debug file locations:

• Logs: .specpulse/logs/debug.log
• Cache: .specpulse/cache/
• Temp: .specpulse/tmp/

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🤝 Contributing to SpecPulse

Development Setup

# Clone repository
git clone https://github.com/specpulse/specpulse.git
cd specpulse

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/

# Run with coverage
pytest --cov=specpulse --cov-report=html

Contribution Guidelines

We welcome contributions!

Areas for contribution:

• 🐛 Bug fixes: Help us squash bugs
• ✨ New features: Propose and implement new functionality
• 📚 Documentation: Improve documentation and examples
• 🧪 Testing: Add test cases and improve test coverage
• 🔧 Tools: Development tools and integrations

Development Process:

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Add tests for new functionality
5. Ensure all tests pass (pytest)
6. Commit your changes (git commit -m 'Add amazing feature')
7. Push to branch (git push origin feature/amazing-feature)
8. Open Pull Request

Code Style and Standards

Python Code Style:

• Follow PEP 8 style guidelines
• Use Black for code formatting
• Use isort for import sorting
• Type hints required for new code
• Maximum line length: 88 characters

Documentation Style:

• Use clear, concise language
• Include code examples
• Follow Markdown formatting standards
• Include proper section headers
• Add ALT text for images

Testing Standards:

• Write unit tests for all new functionality
• Aim for high code coverage (>90%)
• Use descriptive test names
• Include edge case testing
• Mock external dependencies

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📄 License and Legal

License

SpecPulse is released under the MIT License. You can find the full license text in the LICENSE file.

What this means:

• ✅ Commercial use allowed
• ✅ Modification allowed
• ✅ Distribution allowed
• ✅ Private use allowed
• ❌ Liability and warranty disclaimed

🎉 Ready to Transform Your Development?

Get Started in 5 Minutes

# 1. Install SpecPulse
pip install specpulse

# 2. Create your first project
specpulse init my-project --ai claude
cd my-project

# 3. Start your first feature (THE ENTRY POINT)
/sp-pulse amazing-feature

# 4. Create your first specification
/sp-spec "Build an amazing feature that will wow users"

# 5. Plan and execute
/sp-plan
/sp-task
/sp-execute all

# 6. Celebrate your success!
🎉

Join the Community

• GitHub: github.com/specpulse/specpulse
• Developer: Ersin KOÇ • x.com/ersinkoc

Need Help?

• Website: specpulse.xyz for full documentation
• Support: Create an issue
• Contact: info@specpulse.xyz for business inquiries

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**⭐ Star us on GitHub • 📦 Install from PyPI **

Made with ❤️ by developers who believe in specifications-first development

SpecPulse v2.7.5 - Building the future of software development, together.