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/utils/diff_formats/unified_format.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+"""
+Unified diff format generator
+
+SINGLE RESPONSIBILITY: Generate unified diff format output
+"""
+
+from __future__ import annotations
+
+import difflib
+
+from .text_splitter import split_into_words
+
+
+def generate_unified_diff(
+    original: str,
+    fixed: str,
+    original_label: str = "原始版本",
+    fixed_label: str = "修复版本"
+) -> str:
+    """
+    Generate unified format diff report
+
+    Args:
+        original: Original text
+        fixed: Fixed text
+        original_label: Label for original version
+        fixed_label: Label for fixed version
+
+    Returns:
+        Unified diff format string
+    """
+    original_words = split_into_words(original)
+    fixed_words = split_into_words(fixed)
+
+    diff = difflib.unified_diff(
+        original_words,
+        fixed_words,
+        fromfile=original_label,
+        tofile=fixed_label,
+        lineterm=''
+    )
+
+    return '\n'.join(diff)