Files
yusyus bdd61687c5 feat: Complete Phase 1 - AI Coding Assistant Integrations (v2.10.0)
Add comprehensive integration guides for 4 AI coding assistants:

## New Integration Guides (98KB total)
- docs/integrations/WINDSURF.md (20KB) - Windsurf IDE with .windsurfrules
- docs/integrations/CLINE.md (25KB) - Cline VS Code extension with MCP
- docs/integrations/CONTINUE_DEV.md (28KB) - Continue.dev for any IDE
- docs/integrations/INTEGRATIONS.md (25KB) - Comprehensive hub with decision tree

## Working Examples (3 directories, 11 files)
- examples/windsurf-fastapi-context/ - FastAPI + Windsurf automation
- examples/cline-django-assistant/ - Django + Cline with MCP server
- examples/continue-dev-universal/ - HTTP context server for all IDEs

## README.md Updates
- Updated tagline: Universal preprocessor for 10+ AI systems
- Expanded Supported Integrations table (7 → 10 platforms)
- Added 'AI Coding Assistant Integrations' section (60+ lines)
- Cross-links to all new guides and examples

## Impact
- Week 2 of ACTION_PLAN.md: 4/4 tasks complete (100%) 
- Total new documentation: ~3,000 lines
- Total new code: ~1,000 lines (automation scripts, servers)
- Integration coverage: LangChain, LlamaIndex, Pinecone, Cursor, Windsurf,
  Cline, Continue.dev, Claude, Gemini, ChatGPT

## Key Features
- All guides follow proven 11-section pattern from CURSOR.md
- Real-world examples with automation scripts
- Multi-IDE consistency (Continue.dev works in VS Code, JetBrains, Vim)
- MCP integration for dynamic documentation access
- Complete troubleshooting sections with solutions

Positions Skill Seekers as universal preprocessor for ANY AI system.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-07 20:46:26 +03:00

364 lines
8.3 KiB
Markdown

# Cline + Django Assistant Example
Complete example showing how to use Skill Seekers to generate Cline rules for Django development with MCP integration.
## What This Example Does
- ✅ Generates Django documentation skill
- ✅ Creates .clinerules for Cline agent
- ✅ Sets up MCP server for dynamic documentation access
- ✅ Shows autonomous Django code generation
## Quick Start
### 1. Generate Django Skill
```bash
# Install Skill Seekers with MCP support
pip install skill-seekers[mcp]
# Generate Django documentation skill
skill-seekers scrape --config configs/django.json
# Package for Cline (markdown format)
skill-seekers package output/django --target markdown
```
### 2. Copy to Django Project
```bash
# Copy rules to project root
cp output/django-markdown/SKILL.md my-django-project/.clinerules
# Or use the automation script
python generate_clinerules.py --project my-django-project
```
### 3. Configure MCP Server
```bash
# In VS Code Cline panel:
# Settings → MCP Servers → Add Server
# Add this configuration:
{
"skill-seekers": {
"command": "python",
"args": ["-m", "skill_seekers.mcp.server_fastmcp", "--transport", "stdio"],
"env": {}
}
}
# Reload VS Code
```
### 4. Test in Cline
```bash
# Open project in VS Code
code my-django-project/
# Open Cline panel (sidebar icon)
# Start autonomous task:
"Create a Django blog app with:
- Post model with author, title, content, created_at
- Comment model with post foreign key
- Admin registration
- REST API with DRF
- Full test suite with pytest"
# Cline will autonomously generate code following Django best practices
```
## Expected Results
### Before (Without .clinerules)
**Cline Task:** "Create a Django user model"
**Output:**
```python
from django.db import models
class User(models.Model):
username = models.CharField(max_length=100)
email = models.EmailField()
```
❌ Missing timestamps
❌ No __str__ method
❌ No Meta class
❌ Not using AbstractUser
### After (With .clinerules)
**Cline Task:** "Create a Django user model"
**Output:**
```python
from django.contrib.auth.models import AbstractUser
from django.db import models
class User(AbstractUser):
email = models.EmailField(unique=True)
bio = models.TextField(blank=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
ordering = ['-created_at']
verbose_name = 'User'
verbose_name_plural = 'Users'
def __str__(self):
return self.username
```
✅ Uses AbstractUser
✅ Includes timestamps
✅ Has __str__ method
✅ Proper Meta class
✅ Email uniqueness
## Files in This Example
- `generate_clinerules.py` - Automation script
- `mcp_config.json` - MCP server configuration
- `requirements.txt` - Python dependencies
- `example-project/` - Minimal Django project
- `manage.py`
- `app/models.py`
- `app/views.py`
- `tests/`
## MCP Integration Benefits
With MCP server configured, Cline can:
1. **Search documentation dynamically**
```
Cline task: "Use skill-seekers MCP to search Django async views"
```
2. **Generate fresh rules**
```
Cline task: "Use skill-seekers MCP to scrape latest Django 5.0 docs"
```
3. **Package skills on-demand**
```
Cline task: "Use skill-seekers MCP to package React docs for this project"
```
## Rule Files Structure
After setup, your project has:
```
my-django-project/
├── .clinerules # Core Django patterns (auto-loaded)
├── .clinerules.models # Model-specific patterns (optional)
├── .clinerules.views # View-specific patterns (optional)
├── .clinerules.testing # Testing patterns (optional)
├── .clinerules.project # Project conventions (highest priority)
└── .cline/
└── memory-bank/ # Persistent project knowledge
└── README.md
```
Cline automatically loads all `.clinerules*` files.
## Customization
### Add Project-Specific Patterns
Create `.clinerules.project`:
```markdown
# Project-Specific Conventions
## Database Queries
ALWAYS use select_related/prefetch_related:
\```python
# BAD
posts = Post.objects.all() # N+1 queries!
# GOOD
posts = Post.objects.select_related('author').prefetch_related('comments').all()
\```
## API Responses
NEVER expose sensitive fields:
\```python
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ['id', 'username', 'email', 'bio']
# NEVER include: password, is_staff, is_superuser
\```
```
### Memory Bank Setup
```bash
# Initialize memory bank
mkdir -p .cline/memory-bank
# Add project context
cat > .cline/memory-bank/README.md << 'EOF'
# Project Memory Bank
## Tech Stack
- Django 5.0
- PostgreSQL 16
- Redis for caching
- Celery for background tasks
## Architecture
- Modular apps (users, posts, comments)
- API-first with Django REST Framework
- Async views for I/O-bound operations
## Conventions
- All models inherit from BaseModel (timestamps)
- Use pytest for testing
- API versioning: /api/v1/
EOF
# Ask Cline to initialize
# In Cline: "Initialize memory bank from README"
```
## Troubleshooting
### Issue: .clinerules not loading
**Solution:** Check file location
```bash
# Must be at project root
ls -la .clinerules
# Reload VS Code
# Cmd+Shift+P → "Developer: Reload Window"
```
### Issue: MCP server not connecting
**Solution 1:** Verify installation
```bash
pip show skill-seekers
# Should show: [mcp] extra installed
```
**Solution 2:** Test MCP server directly
```bash
python -m skill_seekers.mcp.server_fastmcp --transport stdio
# Should start without errors
```
**Solution 3:** Use absolute Python path
```json
{
"skill-seekers": {
"command": "/usr/local/bin/python3",
"args": ["-m", "skill_seekers.mcp.server_fastmcp", "--transport", "stdio"]
}
}
```
### Issue: Cline not using rules
**Solution:** Add explicit instructions
```markdown
# Django Expert
You MUST follow these patterns in ALL Django code:
- Include timestamps in models
- Use select_related for queries
- Write tests with pytest
NEVER deviate from these patterns.
```
## Advanced Usage
### Multi-Framework Project (Django + React)
```bash
# Backend rules
skill-seekers package output/django --target markdown
cp output/django-markdown/SKILL.md .clinerules.backend
# Frontend rules
skill-seekers package output/react --target markdown
cp output/react-markdown/SKILL.md .clinerules.frontend
# Now Cline knows BOTH Django AND React patterns
```
### Cline + RAG Pipeline
```python
# Create both .clinerules and RAG pipeline
from skill_seekers.cli.doc_scraper import main as scrape
from skill_seekers.cli.package_skill import main as package
# Scrape
scrape(["--config", "configs/django.json"])
# For Cline
package(["output/django", "--target", "markdown"])
# For RAG search
package(["output/django", "--target", "langchain", "--chunk-for-rag"])
# Now you have:
# 1. .clinerules (for Cline context)
# 2. LangChain docs (for deep search)
```
## Real-World Workflow
### Complete Blog API with Cline
**Task:** "Create production-ready blog API"
**Cline Autonomous Steps:**
1. ✅ Creates models (Post, Comment) with timestamps, __str__, Meta
2. ✅ Adds select_related to querysets (from .clinerules)
3. ✅ Creates serializers with nested data (from .clinerules)
4. ✅ Implements ViewSets with filtering (from .clinerules)
5. ✅ Sets up URL routing (from .clinerules)
6. ✅ Writes pytest tests (from .clinerules.testing)
7. ✅ Adds admin registration (from .clinerules)
**Result:** Production-ready API in minutes, following all best practices!
## Related Examples
- [Cursor Example](../cursor-react-skill/) - Similar IDE approach
- [Windsurf Example](../windsurf-fastapi-context/) - Windsurf IDE
- [Continue.dev Example](../continue-dev-universal/) - IDE-agnostic
- [LangChain RAG Example](../langchain-rag-pipeline/) - RAG integration
## Next Steps
1. Add more frameworks (React, Vue) for full-stack
2. Create memory bank for project knowledge
3. Build RAG pipeline with `--target langchain`
4. Share your .clinerules patterns with community
5. Integrate custom MCP tools for project-specific needs
## Support
- **Skill Seekers Issues:** [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
- **Cline Docs:** [docs.cline.bot](https://docs.cline.bot/)
- **Integration Guide:** [CLINE.md](../../docs/integrations/CLINE.md)