Release v1.8.0: Add transcript-fixer skill

## New Skill: transcript-fixer v1.0.0

Correct speech-to-text (ASR/STT) transcription errors through dictionary-based rules and AI-powered corrections with automatic pattern learning.

**Features:**
- Two-stage correction pipeline (dictionary + AI)
- Automatic pattern detection and learning
- Domain-specific dictionaries (general, embodied_ai, finance, medical)
- SQLite-based correction repository
- Team collaboration with import/export
- GLM API integration for AI corrections
- Cost optimization through dictionary promotion

**Use cases:**
- Correcting meeting notes, lecture recordings, or interview transcripts
- Fixing Chinese/English homophone errors and technical terminology
- Building domain-specific correction dictionaries
- Improving transcript accuracy through iterative learning

**Documentation:**
- Complete workflow guides in references/
- SQL query templates
- Troubleshooting guide
- Team collaboration patterns
- API setup instructions

**Marketplace updates:**
- Updated marketplace to v1.8.0
- Added transcript-fixer plugin (category: productivity)
- Updated README.md with skill description and use cases
- Updated CLAUDE.md with skill listing and counts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

transcript-fixer/scripts/core/__init__.py

@@ -0,0 +1,44 @@
+"""
+Core Module - Business Logic and Data Access
+
+This module contains the core business logic for transcript correction:
+- CorrectionRepository: Data access layer with ACID transactions
+- CorrectionService: Business logic layer with validation
+- DictionaryProcessor: Stage 1 dictionary-based corrections
+- AIProcessor: Stage 2 AI-powered corrections
+- LearningEngine: Pattern detection and learning
+"""
+
+# Core SQLite-based components (always available)
+from .correction_repository import CorrectionRepository, Correction, DatabaseError, ValidationError
+from .correction_service import CorrectionService, ValidationRules
+
+# Processing components (imported lazily to avoid dependency issues)
+def _lazy_import(name):
+    """Lazy import to avoid loading heavy dependencies."""
+    if name == 'DictionaryProcessor':
+        from .dictionary_processor import DictionaryProcessor
+        return DictionaryProcessor
+    elif name == 'AIProcessor':
+        from .ai_processor import AIProcessor
+        return AIProcessor
+    elif name == 'LearningEngine':
+        from .learning_engine import LearningEngine
+        return LearningEngine
+    raise ImportError(f"Unknown module: {name}")
+
+# Export main classes
+__all__ = [
+    'CorrectionRepository',
+    'CorrectionService',
+    'Correction',
+    'DatabaseError',
+    'ValidationError',
+    'ValidationRules',
+]
+
+# Make lazy imports available via __getattr__
+def __getattr__(name):
+    if name in ['DictionaryProcessor', 'AIProcessor', 'LearningEngine']:
+        return _lazy_import(name)
+    raise AttributeError(f"module '{__name__}' has no attribute '{name}'")