Here's exactly how to organize your repository files:
llm-explicit-cache-management/
├── README.md # Main project overview
├── LICENSE # MIT License
├── CONTRIBUTING.md # Contribution guidelines
├── .gitignore # Git ignore file
├── docs/ # Documentation
│ ├── getting-started.md # Quick implementation guide
│ ├── api-reference.md # Complete API documentation
│ └── implementation-guide.md # Detailed integration guide
├── spec/ # Core specification
│ ├── core-specification.md # Main technical spec
│ ├── syntax-reference.md # Complete syntax guide
│ └── use-cases.md # Examples and patterns
├── examples/ # Code examples
│ ├── basic-usage/
│ │ ├── python-simple.py
│ │ ├── javascript-basic.js
│ │ └── README.md
│ ├── document-chat/
│ │ ├── python-document-chat.py
│ │ ├── react-document-chat.jsx
│ │ └── README.md
│ └── multi-document/
│ ├── comparative-analysis.py
│ ├── mobile-optimized.js
│ └── README.md
├── implementations/ # Reference implementations
│ ├── python/
│ │ ├── llm_cache/
│ │ ├── setup.py
│ │ ├── requirements.txt
│ │ └── README.md
│ ├── javascript/
│ │ ├── src/
│ │ ├── package.json
│ │ └── README.md
│ └── integration-guides/
│ ├── llama-cpp-integration.md
│ ├── vllm-integration.md
│ └── mlc-llm-integration.md
├── benchmarks/ # Performance tests
│ ├── performance-comparison.py
│ ├── mobile-benchmarks.js
│ ├── results/
│ └── README.md
└── assets/ # Images and diagrams
├── architecture/
│ ├── system-overview.png
│ └── cache-flow-diagram.png
└── logos/
└── project-logo.png
- Go to GitHub.com
- Click "New Repository"
- Repository name:
llm-explicit-cache-management - Description:
Explicit Cache Management System for Large Language Model Inference - ✅ Public
- ✅ Add README.md
- ✅ Add .gitignore (Python)
- ✅ Choose MIT License
- Click "Create repository"
# Clone the repository
git clone https://github.com/YOUR-USERNAME/llm-explicit-cache-management.git
cd llm-explicit-cache-management
# Create directory structure
mkdir -p docs spec examples/{basic-usage,document-chat,multi-document}
mkdir -p implementations/{python,javascript,integration-guides}
mkdir -p benchmarks/results
mkdir -p assets/{architecture,logos}Copy each of these files to their respective locations:
README.md→ Root directory (replace existing)CONTRIBUTING.md→ Root directory
docs/getting-started.mdspec/core-specification.mdspec/syntax-reference.mdspec/use-cases.md
.gitignore (add to existing):
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# Virtual environments
venv/
env/
ENV/
# IDE
.vscode/
.idea/
*.swp
*.swo
# OS
.DS_Store
Thumbs.db
# Node.js
node_modules/
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Testing
.coverage
.pytest_cache/
coverage.xml
*.cover
.hypothesis/
# Jupyter Notebooks
.ipynb_checkpoints
# Documentation builds
docs/_build/# Create empty placeholder files
touch docs/api-reference.md
touch docs/implementation-guide.md
touch examples/basic-usage/README.md
touch examples/document-chat/README.md
touch examples/multi-document/README.md
touch implementations/python/README.md
touch implementations/javascript/README.md
touch benchmarks/README.mddocs/api-reference.md:
# API Reference
> Coming soon - Complete API reference documentation
This will include:
- Complete function/method documentation
- Parameter specifications
- Return value details
- Error codes and handling
- Integration examples
**Status**: Planned for v1.1.0
See [Syntax Reference](../spec/syntax-reference.md) for current command syntax.examples/basic-usage/README.md:
# Basic Usage Examples
Simple examples demonstrating core cache management functionality.
## Examples
- `python-simple.py` - Basic Python implementation
- `javascript-basic.js` - Basic JavaScript/Node.js implementation
## Running Examples
```bash
# Python example
python python-simple.py
# JavaScript example
node javascript-basic.jsStatus: In development
**implementations/python/README.md:**
```markdown
# Python Reference Implementation
Complete Python SDK for LLM explicit cache management.
## Features (Planned)
- [ ] Core cache management
- [ ] Session isolation
- [ ] Memory optimization
- [ ] Mobile-friendly API
- [ ] Integration with popular LLM libraries
## Installation (Future)
```bash
pip install llm-explicit-cache
Status: Development starting Q3 2025
### 6. Initial Commit and Push
```bash
# Add all files
git add .
# Create comprehensive initial commit
git commit -m "feat: initial specification and documentation for LLM explicit cache management
- Core specification with complete syntax definition
- Comprehensive use cases and examples
- Getting started guide for developers
- Contributing guidelines for community
- Repository structure for organized development
Ready for community feedback and implementation"
# Push to GitHub
git push origin main
-
Enable GitHub Features:
- Go to Settings → Features
- Enable Issues, Discussions, Projects
- Set up issue templates
-
Create Project Board:
- Go to Projects → New Project
- Create columns: Backlog, In Progress, Review, Done
- Add initial tasks
-
Set up GitHub Discussions:
- Enable Discussions
- Create categories: General, Ideas, Q&A, Show and tell
- Start Python implementation
- Create basic examples
- Write integration guides
- Begin performance benchmarks
- Complete reference implementation
- Academic paper draft
- Industry outreach
- Conference submissions
For contributors who want to work on implementations:
# Python development setup
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements-dev.txt
# JavaScript development setup
npm install
# Pre-commit hooks (optional but recommended)
pip install pre-commit
pre-commit installRecommended GitHub repository settings:
General:
- ✅ Allow merge commits
- ✅ Allow squash merging
- ✅ Allow rebase merging
- ✅ Automatically delete head branches
Branches:
- Protect main branch
- Require pull request reviews
- Require status checks to pass
Actions:
- Enable GitHub Actions for CI/CD
Pages:
- Enable GitHub Pages for documentation (optional)
Your repository is now ready for development! 🚀
The structure provides a solid foundation for:
- ✅ Clear documentation organization
- ✅ Structured implementation development
- ✅ Community contribution workflow
- ✅ Academic research collaboration
- ✅ Industry adoption pathway