feat(multi-llm): Phase 1 - Foundation adaptor architecture
Implement base adaptor pattern for multi-LLM support (Issue #179) **Architecture:** - Created adaptors/ package with base SkillAdaptor class - Implemented factory pattern with get_adaptor() registry - Refactored Claude-specific code into ClaudeAdaptor **Changes:** - New: src/skill_seekers/cli/adaptors/base.py (SkillAdaptor + SkillMetadata) - New: src/skill_seekers/cli/adaptors/__init__.py (registry + factory) - New: src/skill_seekers/cli/adaptors/claude.py (refactored upload + enhance logic) - Modified: package_skill.py (added --target flag, uses adaptor.package()) - Modified: upload_skill.py (added --target flag, uses adaptor.upload()) - Modified: enhance_skill.py (added --target flag, uses adaptor.enhance()) **Tests:** - New: tests/test_adaptors/test_base.py (10 tests passing) - All existing tests still pass (backward compatible) **Backward Compatibility:** - Default --target=claude maintains existing behavior - All CLI tools work exactly as before without --target flag - No breaking changes **Next:** Phase 2 - Implement Gemini, OpenAI, Markdown adaptors
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yusyus
@@ -36,17 +36,18 @@ except ImportError:
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from quality_checker import SkillQualityChecker, print_report
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def package_skill(skill_dir, open_folder_after=True, skip_quality_check=False):
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def package_skill(skill_dir, open_folder_after=True, skip_quality_check=False, target='claude'):
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"""
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Package a skill directory into a .zip file
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Package a skill directory into platform-specific format
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Args:
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skill_dir: Path to skill directory
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open_folder_after: Whether to open the output folder after packaging
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skip_quality_check: Skip quality checks before packaging
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target: Target LLM platform ('claude', 'gemini', 'openai', 'markdown')
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Returns:
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tuple: (success, zip_path) where success is bool and zip_path is Path or None
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tuple: (success, package_path) where success is bool and package_path is Path or None
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"""
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skill_path = Path(skill_dir)
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@@ -80,40 +81,43 @@ def package_skill(skill_dir, open_folder_after=True, skip_quality_check=False):
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print("=" * 60)
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print()
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# Create zip filename
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# Get platform-specific adaptor
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try:
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from skill_seekers.cli.adaptors import get_adaptor
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adaptor = get_adaptor(target)
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except (ImportError, ValueError) as e:
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print(f"❌ Error: {e}")
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return False, None
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# Create package using adaptor
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skill_name = skill_path.name
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zip_path = skill_path.parent / f"{skill_name}.zip"
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output_dir = skill_path.parent
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print(f"📦 Packaging skill: {skill_name}")
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print(f" Target: {adaptor.PLATFORM_NAME}")
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print(f" Source: {skill_path}")
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print(f" Output: {zip_path}")
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# Create zip file
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with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zf:
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for root, dirs, files in os.walk(skill_path):
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# Skip backup files
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files = [f for f in files if not f.endswith('.backup')]
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try:
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package_path = adaptor.package(skill_path, output_dir)
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print(f" Output: {package_path}")
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except Exception as e:
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print(f"❌ Error creating package: {e}")
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return False, None
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for file in files:
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file_path = Path(root) / file
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arcname = file_path.relative_to(skill_path)
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zf.write(file_path, arcname)
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print(f" + {arcname}")
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# Get zip size
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zip_size = zip_path.stat().st_size
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print(f"\n✅ Package created: {zip_path}")
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print(f" Size: {zip_size:,} bytes ({format_file_size(zip_size)})")
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# Get package size
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package_size = package_path.stat().st_size
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print(f"\n✅ Package created: {package_path}")
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print(f" Size: {package_size:,} bytes ({format_file_size(package_size)})")
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# Open folder in file browser
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if open_folder_after:
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print(f"\n📂 Opening folder: {zip_path.parent}")
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open_folder(zip_path.parent)
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print(f"\n📂 Opening folder: {package_path.parent}")
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open_folder(package_path.parent)
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# Print upload instructions
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print_upload_instructions(zip_path)
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print_upload_instructions(package_path)
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return True, zip_path
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return True, package_path
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def main():
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@@ -156,18 +160,26 @@ Examples:
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help='Skip quality checks before packaging'
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)
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parser.add_argument(
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'--target',
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choices=['claude', 'gemini', 'openai', 'markdown'],
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default='claude',
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help='Target LLM platform (default: claude)'
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)
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parser.add_argument(
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'--upload',
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action='store_true',
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help='Automatically upload to Claude after packaging (requires ANTHROPIC_API_KEY)'
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help='Automatically upload after packaging (requires platform API key)'
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)
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args = parser.parse_args()
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success, zip_path = package_skill(
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success, package_path = package_skill(
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args.skill_dir,
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open_folder_after=not args.no_open,
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skip_quality_check=args.skip_quality_check
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skip_quality_check=args.skip_quality_check,
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target=args.target
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)
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if not success:
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@@ -175,42 +187,58 @@ Examples:
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# Auto-upload if requested
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if args.upload:
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# Check if API key is set BEFORE attempting upload
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api_key = os.environ.get('ANTHROPIC_API_KEY', '').strip()
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if not api_key:
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# No API key - show helpful message but DON'T fail
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print("\n" + "="*60)
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print("💡 Automatic Upload")
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print("="*60)
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print()
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print("To enable automatic upload:")
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print(" 1. Get API key from https://console.anthropic.com/")
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print(" 2. Set: export ANTHROPIC_API_KEY=sk-ant-...")
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print(" 3. Run package_skill.py with --upload flag")
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print()
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print("For now, use manual upload (instructions above) ☝️")
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print("="*60)
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# Exit successfully - packaging worked!
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sys.exit(0)
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# API key exists - try upload
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try:
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from upload_skill import upload_skill_api
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from skill_seekers.cli.adaptors import get_adaptor
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# Get adaptor for target platform
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adaptor = get_adaptor(args.target)
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# Get API key from environment
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api_key = os.environ.get(adaptor.get_env_var_name(), '').strip()
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if not api_key:
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# No API key - show helpful message but DON'T fail
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print("\n" + "="*60)
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print("💡 Automatic Upload")
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print("="*60)
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print()
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print(f"To enable automatic upload to {adaptor.PLATFORM_NAME}:")
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print(f" 1. Get API key from the platform")
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print(f" 2. Set: export {adaptor.get_env_var_name()}=...")
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print(f" 3. Run package command with --upload flag")
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print()
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print("For now, use manual upload (instructions above) ☝️")
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print("="*60)
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# Exit successfully - packaging worked!
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sys.exit(0)
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# API key exists - try upload
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print("\n" + "="*60)
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upload_success, message = upload_skill_api(zip_path)
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if not upload_success:
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print(f"❌ Upload failed: {message}")
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print(f"📤 Uploading to {adaptor.PLATFORM_NAME}...")
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print("="*60)
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result = adaptor.upload(package_path, api_key)
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if result['success']:
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print(f"\n✅ {result['message']}")
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if result['url']:
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print(f" View at: {result['url']}")
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print("="*60)
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sys.exit(0)
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else:
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print(f"\n❌ Upload failed: {result['message']}")
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print()
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print("💡 Try manual upload instead (instructions above) ☝️")
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print("="*60)
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# Exit successfully - packaging worked even if upload failed
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sys.exit(0)
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else:
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print("="*60)
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sys.exit(0)
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except ImportError:
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print("\n❌ Error: upload_skill.py not found")
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except ImportError as e:
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print(f"\n❌ Error: {e}")
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print("Install required dependencies for this platform")
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sys.exit(1)
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except Exception as e:
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print(f"\n❌ Upload error: {e}")
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sys.exit(1)
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sys.exit(0)
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