tosins-prompt-manager 0.3.16

Development workflow management system with memory tracking

Prompt Manager

A powerful AI-assisted workflow management system with advanced task tracking and debugging capabilities.

Features

• Memory Bank System: Maintains perfect documentation and project context
• Task Tracking: Advanced task management and progress monitoring
• Debugging Tools: Comprehensive debugging and troubleshooting support
• GitHub Integration: Seamless integration with existing GitHub repositories
• IDE Support: VSCode integration for enhanced development workflow
• bolt.new Integration: AI-powered task generation for web applications
• LLM Enhancement: Autonomous code improvement and pull request generation

Installation

You can install the latest release (v0.3.16) using pip:

pip install tosins-prompt-manager==0.3.16

Or download directly from GitHub releases:

# Clone the repository
git clone https://github.com/tosin2013/prompt-manager.git
cd prompt-manager

# Checkout the latest release
git checkout v0.3.16

# Install in editable mode
pip install -e .

Quick Start

Basic Task Management

from prompt_manager import PromptManager

# Initialize project
pm = PromptManager("your_project_name")

# Add a new task
task = pm.add_task(
    name="implement-feature",
    description="Add new feature X",
    details="Implementation requirements..."
)

# Track progress
pm.update_progress(
    task_name="implement-feature",
    status="in_progress",
    details="Completed initial implementation"
)

Generate Web Development Tasks

# Generate structured development tasks with bolt.new
tasks = pm.generate_bolt_tasks(
    project_name="My Web App",
    framework="Next.js"  # Optional, defaults to Next.js
)

# List generated tasks
for task in tasks:
    print(f"{task.name} - Priority: {task.priority}")

Using LLM Enhancement

from prompt_manager import LLMEnhancement

# Initialize LLM Enhancement
llm = LLMEnhancement(memory_bank)

# Start learning session
llm.start_learning_session()

# Generate code improvements
suggestions = llm.generate_suggestions()

# Create pull request
pr = llm.suggest_pull_request(
    changes=[{"path/to/file.py": "new content"}],
    title="Improve code structure",
    description="Enhance modularity and readability"
)

# Submit pull request
success, message = llm.create_pull_request(pr)

Command Line Interface

The package provides a comprehensive CLI for managing your development workflow:

# Initialize a new project
prompt-manager init [PATH]

# Analyze a repository for project context
prompt-manager analyze-repo PATH

# Add a new task
prompt-manager add-task NAME DESCRIPTION PROMPT [--priority NUMBER]

# Update task progress
prompt-manager update-progress NAME STATUS

# List tasks with optional filtering and sorting
prompt-manager list-tasks [--status STATUS] [--sort-by FIELD]

# Export tasks to a file
prompt-manager export-tasks OUTPUT

# Generate bolt.new development tasks
prompt-manager generate-bolt-tasks PROJECT_DESCRIPTION FRAMEWORK

# Start interactive mode
prompt-manager startup --interactive

# Analyze LLM's interaction patterns
prompt-manager reflect

# Enable autonomous learning mode
prompt-manager learn-mode

# Allow LLM to modify its tooling
prompt-manager meta-program

Available task statuses:

• PENDING
• IN_PROGRESS
• COMPLETED
• BLOCKED
• FAILED

Sort fields for list-tasks:

• priority
• created
• updated

Using the CLI

# Initialize a new project
prompt-manager init "my-web-app"

# Generate bolt.new tasks
prompt-manager generate-bolt-tasks "Create a blog with authentication" --framework Next.js

# List all tasks
prompt-manager list-tasks

Documentation

• Getting Started
• Memory Bank Guide
• bolt.new Integration
• API Reference
• Examples
  • AI Book Writer Integration
  • Cline Memory Bank Integration
  • LLM Enhancement Guide

Development

1. Clone the repository:

git clone https://github.com/tosin2013/prompt-manager.git
cd prompt-manager

2. Install dependencies:

pip install -r requirements.txt

3. Run tests:

pytest tests/

Release Process

Releases are automated via GitHub Actions. To create a new release:

1. Update version in setup.py
2. Create and push a new tag:

git tag -a v1.0.0 -m "Release v1.0.0"
git push origin v1.0.0

The GitHub Action will automatically:

• Run tests across Python versions
• Build the package
• Create a GitHub release
• Upload build artifacts

Latest Release (v0.3.16)

What's New

• Added comprehensive CLI command documentation
• Updated Python version support (3.9-3.13)
• Package renamed to tosins-prompt-manager
• LLM Enhancement: Autonomous code improvement and pull request generation
• bolt.new Integration: Generate structured development tasks for web applications
• Enhanced Task Management: Improved task tracking and organization
• Memory Bank Updates: Better context management for web development

Breaking Changes

None

Bug Fixes

• Improved task persistence
• Enhanced test coverage
• Fixed CLI command handling
• Improved error handling in LLM Enhancement

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with Cline integration
• Inspired by AI-assisted development workflows
• Powered by bolt.new for web development task generation
• Enhanced by LLM-driven code improvements