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

160 lines
4.6 KiB
Python

#!/usr/bin/env python3
"""
Automation script to generate Windsurf rules from FastAPI documentation.
Usage:
python generate_windsurfrules.py --project /path/to/project
python generate_windsurfrules.py --project . --max-chars 5000
"""
import argparse
import shutil
import subprocess
import sys
from pathlib import Path
def run_command(cmd: list[str], description: str) -> bool:
"""Run a shell command and return success status."""
print(f"\n{'='*60}")
print(f"STEP: {description}")
print(f"{'='*60}")
print(f"Running: {' '.join(cmd)}\n")
result = subprocess.run(cmd, capture_output=True, text=True)
if result.stdout:
print(result.stdout)
if result.stderr:
print(result.stderr, file=sys.stderr)
if result.returncode != 0:
print(f"❌ ERROR: {description} failed with code {result.returncode}")
return False
print(f"✅ SUCCESS: {description}")
return True
def main():
parser = argparse.ArgumentParser(
description="Generate Windsurf rules from FastAPI documentation"
)
parser.add_argument(
"--project",
type=str,
default=".",
help="Path to your project directory (default: current directory)",
)
parser.add_argument(
"--max-chars",
type=int,
default=5500,
help="Maximum characters per rule file (default: 5500, max: 6000)",
)
parser.add_argument(
"--skip-scrape",
action="store_true",
help="Skip scraping step (use existing output/fastapi)",
)
args = parser.parse_args()
project_path = Path(args.project).resolve()
output_dir = Path("output/fastapi")
rules_dir = project_path / ".windsurf" / "rules"
print("=" * 60)
print("Windsurf Rules Generator for FastAPI")
print("=" * 60)
print(f"Project: {project_path}")
print(f"Rules directory: {rules_dir}")
print(f"Max characters per file: {args.max_chars}")
print("=" * 60)
# Step 1: Scrape FastAPI documentation (unless skipped)
if not args.skip_scrape:
if not run_command(
[
"skill-seekers",
"scrape",
"--config",
"configs/fastapi.json",
],
"Scraping FastAPI documentation",
):
return 1
else:
print(f"\n⏭️ SKIPPED: Using existing {output_dir}")
if not output_dir.exists():
print(f"❌ ERROR: {output_dir} does not exist!")
print(f"Run without --skip-scrape to generate documentation first.")
return 1
# Step 2: Package with split rules
if not run_command(
[
"skill-seekers",
"package",
str(output_dir),
"--target",
"markdown",
"--split-rules",
"--max-chars",
str(args.max_chars),
],
"Packaging for Windsurf with split rules",
):
return 1
# Step 3: Copy rules to project
print(f"\n{'='*60}")
print(f"STEP: Copying rules to project")
print(f"{'='*60}")
markdown_output = output_dir.parent / "fastapi-markdown"
source_rules = markdown_output / "rules"
if not source_rules.exists():
# Single file (no splitting needed)
source_skill = markdown_output / "SKILL.md"
if not source_skill.exists():
print(f"❌ ERROR: {source_skill} does not exist!")
return 1
# Create rules directory
rules_dir.mkdir(parents=True, exist_ok=True)
# Copy as single rule file
dest_file = rules_dir / "fastapi.md"
shutil.copy(source_skill, dest_file)
print(f"✅ Copied: {dest_file}")
else:
# Multiple rule files
rules_dir.mkdir(parents=True, exist_ok=True)
for rule_file in source_rules.glob("*.md"):
dest_file = rules_dir / rule_file.name
shutil.copy(rule_file, dest_file)
print(f"✅ Copied: {dest_file}")
print(f"\n{'='*60}")
print(f"✅ SUCCESS: Rules generated and copied!")
print(f"{'='*60}")
print(f"\nRules location: {rules_dir}")
print(f"\nNext steps:")
print(f"1. Open project in Windsurf: windsurf {project_path}")
print(f"2. Reload window: Cmd+Shift+P → 'Reload Window'")
print(f"3. Start Cascade: Cmd+L (or Ctrl+L)")
print(f"4. Test: 'Create a FastAPI endpoint with async database'")
print(f"\nRule files:")
for rule_file in sorted(rules_dir.glob("*.md")):
size = rule_file.stat().st_size
print(f" - {rule_file.name} ({size:,} bytes)")
return 0
if __name__ == "__main__":
sys.exit(main())