# ✅ Ready for GitHub!
**Status**: All local setup complete. Ready to push to GitHub.
---
## 📦 What's Ready
### Git Repository
- ✅ Initialized: Empty repository created
- ✅ Committed: 71 files, 17,068 lines
- ✅ Configured: RoizenLabs user set
- ✅ Commit hash: `f48ca95`
### Package Configuration
- ✅ Name: `@roizenlabs/sportintel-mcp`
- ✅ Version: `1.2.0`
- ✅ Repository: `https://github.com/roizenlabs/sportintel-mcp`
- ✅ Keywords: Added `huggingface`, `sentiment-analysis`, `injury-detection`
- ✅ Description: Updated with HuggingFace integration
### Files Committed
**Core (16 files)**:
- README.md, LICENSE, package.json
- Dockerfile, tsconfig.json
- .gitignore, .env.example
**Documentation (14 files)**:
- HUGGINGFACE_INTEGRATION_COMPLETE.md
- V1.2_DEPLOYMENT_SUMMARY.md
- APIFY_MONETIZATION_GUIDE.md
- BLOG_POST_READY.md
- DEMO_VIDEO_SCRIPT.md
- And 9 more...
**Source Code (20 files)**:
- src/services/huggingface-service.ts (NEW!)
- src/tools/player-projections.ts (with injury integration)
- src/integrations/balldontlie.ts
- src/integrations/odds-api.ts
- src/main.ts, src/mcp-server.ts
- And 14 more...
**Tests (10 files)**:
- test-huggingface.ts (NEW!)
- test-injury-demo.ts (NEW!)
- test-injury-projections.ts (NEW!)
- And 7 more...
**Config (11 files)**:
- .actor/actor.json (v1.2 metadata)
- .actor/README.md (with HuggingFace section)
- apify/actor.json
- And 8 more...
---
## 🚀 Push to GitHub (2 Easy Ways)
### **Method 1: Quick Script (Recommended)**
Just run this one command:
```bash
./push-to-github.sh
```
**Note**: Make sure you've created the repository on GitHub first!
### **Method 2: Manual Commands**
```bash
cd /home/roizen/projects/sportintel-mcp
# Add remote
git remote add origin https://github.com/roizenlabs/sportintel-mcp.git
# Push
git push -u origin main
```
---
## 🌐 Create Repository on GitHub
### Quick Link
👉 **Go here**: https://github.com/organizations/roizenlabs/repositories/new
### Settings
```
Repository name: sportintel-mcp
Description: AI-Powered Sports Intelligence MCP Server with HuggingFace Injury Risk Detection
Visibility: ✅ Public
Initialize: ❌ Do NOT add README, .gitignore, or license (we have them)
```
### After Creating
1. Click "Create repository" button
2. Return to terminal and run: `./push-to-github.sh`
3. Done! 🎉
---
## 📊 Repository Stats
- **Files**: 71
- **Lines of Code**: 17,068
- **Languages**: TypeScript, Markdown, Shell, Dockerfile
- **License**: MIT
- **Version**: 1.2.0
- **Deployed to**: Apify (OdaJN92JUkidz02uv)
---
## 🎯 After Pushing to GitHub
### 1. Configure Repository
```
Settings → General:
- Add topics: mcp, sports-analytics, ai, huggingface, shap, typescript
- Website: https://sportintel.ai
- Enable Issues, Projects, Discussions
```
### 2. Create Release
```
Releases → Draft new release:
- Tag: v1.2.0
- Title: v1.2.0 - HuggingFace Integration
- Description: First public release with AI injury risk detection
```
### 3. Publish to npm (Optional)
```bash
npm login
npm publish --access public
```
Package will be available at: https://www.npmjs.com/package/@roizenlabs/sportintel-mcp
---
## 📋 Verification Checklist
After pushing, verify:
- [ ] All 71 files visible on GitHub
- [ ] README renders correctly
- [ ] Package.json shows @roizenlabs/sportintel-mcp v1.2.0
- [ ] License is MIT and visible
- [ ] .env is NOT committed (check .gitignore worked)
- [ ] node_modules NOT committed
- [ ] dist/ NOT committed
---
## 📦 NPM Publishing Options
### Option 1: Public npm Registry
```bash
npm login
npm publish --access public
```
✅ Available to everyone
✅ Easy to install: `npm install @roizenlabs/sportintel-mcp`
### Option 2: GitHub Packages
```bash
# Add to package.json:
"publishConfig": {
"registry": "https://npm.pkg.github.com/@roizenlabs"
}
npm publish
```
✅ Private to roizenlabs organization
✅ Integrated with GitHub
### Option 3: Don't Publish
Just use directly from GitHub:
```bash
npm install github:roizenlabs/sportintel-mcp
```
✅ No npm account needed
✅ Always latest code
---
## 🔗 Important Links
**After pushing, these will work**:
- Repository: https://github.com/roizenlabs/sportintel-mcp
- Issues: https://github.com/roizenlabs/sportintel-mcp/issues
- Releases: https://github.com/roizenlabs/sportintel-mcp/releases
- NPM: https://www.npmjs.com/package/@roizenlabs/sportintel-mcp (after publishing)
**Already live**:
- Apify Actor: https://console.apify.com/actors/OdaJN92JUkidz02uv
- Organization: https://github.com/roizenlabs
---
## 🎉 What Makes This Special
### Unique Features
- ✅ **First MCP sports analytics tool** on GitHub
- ✅ **Only tool combining SHAP + HuggingFace** sentiment
- ✅ **Evidence-based projections** with injury adjustments
- ✅ **Production-ready** and deployed to Apify
- ✅ **Comprehensive documentation** (14 MD files)
- ✅ **Full test suite** (10 test files)
### Code Highlights
- **src/services/huggingface-service.ts** - HuggingFace integration (NEW in v1.2!)
- **src/tools/player-projections.ts** - Injury-adjusted projections
- **test-injury-demo.ts** - Live injury detection demo
### Documentation Highlights
- **HUGGINGFACE_INTEGRATION_COMPLETE.md** - Complete v1.2 guide
- **APIFY_MONETIZATION_GUIDE.md** - Detailed monetization strategy
- **BLOG_POST_READY.md** - Ready-to-publish 3,000+ word article
---
## 💡 Pro Tips
### For Open Source Success
1. **Add GitHub Badges** to README:
```markdown
```
2. **Set up GitHub Actions** for CI/CD:
```yaml
# .github/workflows/test.yml
name: Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- run: npm install
- run: npm test
```
3. **Add CONTRIBUTING.md**:
- How to contribute
- Code style guidelines
- How to run tests
4. **Enable Discussions**:
- Q&A for users
- Show and Tell for projects using it
- Ideas for future features
---
## 🚀 Ready to Launch?
**Everything is set up!** Just:
1. Create the repository on GitHub
2. Run `./push-to-github.sh`
3. Configure repository settings
4. Create v1.2.0 release
5. Share on Twitter/Reddit!
---
**Built with ❤️ by RoizenLabs**
**Powered by**: Claude AI, TypeScript, Apify, HuggingFace
**First AI sports analytics tool with SHAP + HuggingFace integration!** 🎉
