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/html_format.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+"""
+HTML diff format generator
+
+SINGLE RESPONSIBILITY: Generate HTML side-by-side comparison
+"""
+
+from __future__ import annotations
+
+import difflib
+
+
+def generate_html_diff(original: str, fixed: str) -> str:
+    """
+    Generate HTML format comparison report (side-by-side)
+
+    Args:
+        original: Original text
+        fixed: Fixed text
+
+    Returns:
+        HTML format string with side-by-side comparison
+    """
+    original_lines = original.splitlines(keepends=True)
+    fixed_lines = fixed.splitlines(keepends=True)
+
+    differ = difflib.HtmlDiff(wrapcolumn=80)
+    html = differ.make_file(
+        original_lines,
+        fixed_lines,
+        fromdesc='原始版本',
+        todesc='修复版本',
+        context=True,
+        numlines=3
+    )
+
+    return html