feat: Add Official Microsoft & Gemini Skills (845+ Total)

🚀 Impact

Significantly expands the capabilities of **Antigravity Awesome Skills** by integrating official skill collections from **Microsoft** and **Google Gemini**. This update increases the total skill count to **845+**, making the library even more comprehensive for AI coding assistants.

✨ Key Changes

1. New Official Skills

- **Microsoft Skills**: Added a massive collection of official skills from [microsoft/skills](https://github.com/microsoft/skills).
  - Includes Azure, .NET, Python, TypeScript, and Semantic Kernel skills.
  - Preserves the original directory structure under `skills/official/microsoft/`.
  - Includes plugin skills from the `.github/plugins` directory.
- **Gemini Skills**: Added official Gemini API development skills under `skills/gemini-api-dev/`.

2. New Scripts & Tooling

- **`scripts/sync_microsoft_skills.py`**: A robust synchronization script that:
  - Clones the official Microsoft repository.
  - Preserves the original directory heirarchy.
  - Handles symlinks and plugin locations.
  - Generates attribution metadata.
- **`scripts/tests/inspect_microsoft_repo.py`**: Debug tool to inspect the remote repository structure.
- **`scripts/tests/test_comprehensive_coverage.py`**: Verification script to ensure 100% of skills are captured during sync.

3. Core Improvements

- **`scripts/generate_index.py`**: Enhanced frontmatter parsing to safely handle unquoted values containing `@` symbols and commas (fixing issues with some Microsoft skill descriptions).
- **`package.json`**: Added `sync:microsoft` and `sync:all-official` scripts for easy maintenance.

4. Documentation

- Updated `README.md` to reflect the new skill counts (845+) and added Microsoft/Gemini to the provider list.
- Updated `CATALOG.md` and `skills_index.json` with the new skills.

🧪 Verification

- Ran `scripts/tests/test_comprehensive_coverage.py` to verify all Microsoft skills are detected.
- Validated `generate_index.py` fixes by successfully indexing the new skills.

skills/official/microsoft/python/foundry/transcription/SKILL.md

@@ -0,0 +1,69 @@
+---
+name: azure-ai-transcription-py
+description: |
+  Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
+  Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".
+package: azure-ai-transcription
+---
+
+# Azure AI Transcription SDK for Python
+
+Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.
+
+## Installation
+
+```bash
+pip install azure-ai-transcription
+```
+
+## Environment Variables
+
+```bash
+TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com
+TRANSCRIPTION_KEY=<your-key>
+```
+
+## Authentication
+
+Use subscription key authentication (DefaultAzureCredential is not supported for this client):
+
+```python
+import os
+from azure.ai.transcription import TranscriptionClient
+
+client = TranscriptionClient(
+    endpoint=os.environ["TRANSCRIPTION_ENDPOINT"],
+    credential=os.environ["TRANSCRIPTION_KEY"]
+)
+```
+
+## Transcription (Batch)
+
+```python
+job = client.begin_transcription(
+    name="meeting-transcription",
+    locale="en-US",
+    content_urls=["https://<storage>/audio.wav"],
+    diarization_enabled=True
+)
+result = job.result()
+print(result.status)
+```
+
+## Transcription (Real-time)
+
+```python
+stream = client.begin_stream_transcription(locale="en-US")
+stream.send_audio_file("audio.wav")
+for event in stream:
+    print(event.text)
+```
+
+## Best Practices
+
+1. **Enable diarization** when multiple speakers are present
+2. **Use batch transcription** for long files stored in blob storage
+3. **Capture timestamps** for subtitle generation
+4. **Specify language** to improve recognition accuracy
+5. **Handle streaming backpressure** for real-time transcription
+6. **Close transcription sessions** when complete