A collaborative repository for sharing AI customizations, prompts, commands, agents, workflows, and configurations. This repo serves as a knowledge base for AI productivity tools and best practices.
mm-ai-knowledge/
├── prompts/ # System prompts and prompt templates
│ ├── system/ # System-level prompts for AI behavior
│ ├── task-specific/ # Task-oriented prompts (coding, writing, analysis)
│ └── examples/ # Example prompts with use cases
│
├── commands/ # Slash commands and CLI commands
│ ├── claude-code/ # Claude Code specific commands (.md format)
│ ├── cursor/ # Cursor IDE commands
│ └── general/ # General-purpose commands
│
├── agents/ # Agent configurations and definitions
│ ├── specialized/ # Domain-specific agents (code-reviewer, tester, etc.)
│ ├── workflows/ # Multi-agent workflow configurations
│ └── templates/ # Agent templates for common use cases
│
├── workflows/ # Multi-step workflow definitions
│ ├── development/ # Software development workflows
│ ├── content/ # Content creation workflows
│ └── automation/ # Task automation workflows
│
├── tools/ # Custom tools and integrations
│ ├── mcp-servers/ # MCP (Model Context Protocol) server configs
│ ├── scripts/ # Utility scripts and tools
│ └── integrations/ # Third-party integrations (GitHub, Jira, etc.)
│
├── configs/ # Configuration files
│ ├── claude-code/ # Claude Code settings
│ ├── api/ # API configurations
│ └── templates/ # Configuration templates
│
├── examples/ # Complete usage examples
│ ├── use-cases/ # Real-world use case demonstrations
│ ├── tutorials/ # Step-by-step tutorials
│ └── best-practices/ # Best practice guides
│
├── docs/ # Documentation
│ ├── guides/ # How-to guides
│ ├── references/ # Reference documentation
│ └── tips/ # Tips and tricks
│
├── templates/ # Reusable templates
│ ├── projects/ # Project templates
│ ├── documents/ # Document templates
│ └── code/ # Code templates
│
└── example-ai-projects/ # Links to exemplary AI projects and implementations
git clone <repository-url>
cd mm-ai-knowledgeNavigate to the relevant directory based on what you're looking for:
- Need a prompt? → Check
prompts/ - Want to add a command? → Look in
commands/ - Looking for agent configs? → Explore
agents/ - Need a workflow? → Browse
workflows/
Each directory contains a README.md with:
- Description of the category
- How to use the contents
- Contribution guidelines specific to that category
We welcome contributions! Here's how to add your knowledge:
- Choose the Right Directory: Place your content in the appropriate category
- Follow Naming Conventions: Use descriptive, lowercase names with hyphens (e.g.,
code-review-agent.md) - Include Documentation: Add a header comment or README explaining:
- What it does
- How to use it
- Any dependencies or requirements
- Example usage
- Be Descriptive: Use clear names and add comments
- Test Your Content: Ensure prompts/commands/configs work as expected
- Add Examples: Include usage examples when possible
- Update Documentation: If adding a new category, update this README
- Prompts:
{purpose}-prompt.md(e.g.,code-review-prompt.md) - Commands:
{command-name}.md(e.g.,refactor.md) - Agents:
{agent-type}-agent.{json|yaml|md}(e.g.,test-runner-agent.yaml) - Workflows:
{workflow-name}-workflow.{json|yaml}(e.g.,ci-cd-workflow.yaml)
# Copy a prompt from the prompts directory
cat prompts/task-specific/code-review-prompt.md
# Use it in your AI tool of choice# Create .claude/commands directory if it doesn't exist
mkdir -p .claude/commands
# Copy command to your project
cp commands/claude-code/refactor.md .claude/commands/
# Use in Claude Code
/refactor# Copy agent configuration
cp agents/specialized/code-reviewer-agent.yaml .claude/agents/
# Reference in your workflowSystem prompts, task-specific prompts, and prompt engineering templates that can be used across different AI tools.
Slash commands and CLI commands for tools like Claude Code, Cursor, and other AI-assisted development environments.
Specialized agent configurations for autonomous task handling (code review, testing, documentation, etc.).
Multi-step processes that combine prompts, commands, and agents to accomplish complex tasks.
Custom integrations, MCP servers, and utility scripts that extend AI capabilities.
Configuration files for various AI tools and platforms.
Real-world examples, tutorials, and use cases demonstrating how to combine different components.
Reusable templates for projects, documents, and code that incorporate AI best practices.
Curated links to exemplary open-source AI projects, implementations, and real-world examples that demonstrate best practices and innovative approaches.
- Version Control: Tag major versions of prompts/configs
- Documentation: Always explain the "why" not just the "what"
- Testing: Test your contributions before submitting
- Organization: Keep related files together
- Privacy: Never commit API keys, tokens, or sensitive data
[Specify your license here]
[Add maintainer information]
Happy Sharing! 🚀