Initial commit: add all skills files

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

frontend-dev/references/minimax-tts-guide.md

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+# TTS Guide
+
+## CLI usage (recommended)
+
+```bash
+# Basic
+python scripts/minimax_tts.py "Hello world" -o output.mp3
+
+# Custom voice and speed
+python scripts/minimax_tts.py "你好世界" -o hi.mp3 -v female-shaonv --speed 0.9
+
+# WAV format, high quality
+python scripts/minimax_tts.py "Welcome" -o out.wav -v male-qn-jingying --format wav --sample-rate 32000
+
+# With emotion (for speech-2.6 models)
+python scripts/minimax_tts.py "Great news!" -o happy.mp3 -v female-shaonv --emotion happy --model speech-2.6-hd
+```
+
+## Programmatic usage
+
+```python
+from minimax_tts import tts
+
+# Basic
+audio_bytes = tts("Hello world")
+
+# With options
+audio_bytes = tts(
+    text="Welcome to our product.",
+    voice_id="female-shaonv",
+    model="speech-2.8-hd",
+    speed=0.9,
+    fmt="mp3",
+)
+
+# Save to file
+with open("output.mp3", "wb") as f:
+    f.write(audio_bytes)
+```
+
+## Limits
+
+- **Sync TTS:** max 10,000 characters per request
+- **Pause markers:** insert `<#1.5#>` for a 1.5s pause (range: 0.01–99.99s)
+
+## Model selection
+
+| Model | Best for |
+|-------|----------|
+| `speech-2.8-hd` | Highest quality, auto emotion (recommended) |
+| `speech-2.8-turbo` | Fast, good quality |
+| `speech-2.6-hd` | Manual emotion control needed |
+| `speech-2.6-turbo` | Fast + manual emotion |
+
+## Voice selection
+
+See [minimax-voice-catalog.md](minimax-voice-catalog.md) for the full list.
+
+Common voices:
+
+| Voice ID | Gender | Style |
+|----------|--------|-------|
+| `male-qn-qingse` | Male | Young, gentle |
+| `male-qn-jingying` | Male | Elite, authoritative |
+| `male-qn-badao` | Male | Dominant, powerful |
+| `female-shaonv` | Female | Young, bright |
+| `female-yujie` | Female | Mature, elegant |
+| `female-chengshu` | Female | Sophisticated |
+| `presenter_male` | Male | News presenter |
+| `presenter_female` | Female | News presenter |
+| `audiobook_male_1` | Male | Audiobook narrator |
+| `audiobook_female_1` | Female | Audiobook narrator |
+
+## Best practices
+
+- Use `speech-2.8-hd` and let emotion auto-match — don't manually set emotion unless needed
+- Use 32000 sample rate for web audio (good balance of quality and file size)
+- For long text (>10,000 chars), split into chunks and merge with FFmpeg