初始化提交

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+---
+name: clip-hand-skill
+version: "2.0.0"
+description: "Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing"
+runtime: prompt_only
+---
+
+# Video Clipping Expert Knowledge
+
+## Cross-Platform Notes
+
+All tools (ffmpeg, ffprobe, yt-dlp, whisper) use **identical CLI flags** on Windows, macOS, and Linux. The differences are only in shell syntax:
+
+| Feature | macOS / Linux | Windows (cmd.exe) |
+|---------|---------------|-------------------|
+| Suppress stderr | `2>/dev/null` | `2>NUL` |
+| Filter output | `\| grep pattern` | `\| findstr pattern` |
+| Delete files | `rm file1 file2` | `del file1 file2` |
+| Null output device | `-f null -` | `-f null -` (same) |
+| ffmpeg subtitle paths | `subtitles=clip.srt` | `subtitles=clip.srt` (relative OK, absolute needs `C\\:/path`) |
+
+IMPORTANT: ffmpeg filter paths (`-vf "subtitles=..."`) always need forward slashes. On Windows with absolute paths, escape the colon: `subtitles=C\\:/Users/me/clip.srt`
+
+Prefer using `file_write` tool for creating SRT/text files instead of shell echo/heredoc.
+
+---
+
+## yt-dlp Reference
+
+### Download with Format Selection
+```
+# Best video up to 1080p + best audio, merged
+yt-dlp -f "bv[height<=1080]+ba/b[height<=1080]" --restrict-filenames -o "source.%(ext)s" "URL"
+
+# 720p max (smaller, faster)
+yt-dlp -f "bv[height<=720]+ba/b[height<=720]" --restrict-filenames -o "source.%(ext)s" "URL"
+
+# Audio only (for transcription-only workflows)
+yt-dlp -x --audio-format wav --restrict-filenames -o "audio.%(ext)s" "URL"
+```
+
+### Metadata Inspection
+```
+# Get full metadata as JSON (duration, title, chapters, available subs)
+yt-dlp --dump-json "URL"
+
+# Key fields: duration, title, description, chapters, subtitles, automatic_captions
+```
+
+### YouTube Auto-Subtitles
+```
+# Download auto-generated subtitles in json3 format (word-level timing)
+yt-dlp --write-auto-subs --sub-lang en --sub-format json3 --skip-download --restrict-filenames -o "source" "URL"
+
+# Download manual subtitles if available
+yt-dlp --write-subs --sub-lang en --sub-format srt --skip-download --restrict-filenames -o "source" "URL"
+
+# List available subtitle languages
+yt-dlp --list-subs "URL"
+```
+
+### Useful Flags
+- `--restrict-filenames` — safe ASCII filenames (no spaces/special chars) — important on all platforms
+- `--no-playlist` — download single video even if URL is in a playlist
+- `-o "template.%(ext)s"` — output template (%(ext)s auto-detects format)
+- `--cookies-from-browser chrome` — use browser cookies for age-restricted content
+- `--extract-audio` / `-x` — extract audio only
+- `--audio-format wav` — convert audio to wav (for whisper)
+
+---
+
+## Whisper Transcription Reference
+
+### Audio Extraction for Whisper
+```
+# Extract mono 16kHz WAV (whisper's preferred input format)
+ffmpeg -i source.mp4 -vn -ar 16000 -ac 1 -y audio.wav
+```
+
+### Basic Transcription
+```
+# Standard transcription with word-level timestamps
+whisper audio.wav --model small --output_format json --word_timestamps true --language en
+
+# Faster alternative (same flags, 4x speed)
+whisper-ctranslate2 audio.wav --model small --output_format json --word_timestamps true --language en
+```
+
+### Model Sizes
+| Model | VRAM | Speed | Quality | Use When |
+|-------|------|-------|---------|----------|
+| tiny | ~1GB | Fastest | Rough | Quick previews, testing pipeline |
+| base | ~1GB | Fast | OK | Short clips, clear speech |
+| small | ~2GB | Good | Good | **Default — best balance** |
+| medium | ~5GB | Slow | Better | Important content, accented speech |
+| large-v3 | ~10GB | Slowest | Best | Final production, multiple languages |
+
+Note: On macOS Apple Silicon, consider `mlx-whisper` as a faster native alternative.
+
+### JSON Output Structure
+```json
+{
+  "text": "full transcript text...",
+  "segments": [
+    {
+      "id": 0,
+      "start": 0.0,
+      "end": 4.52,
+      "text": " Hello everyone, welcome back.",
+      "words": [
+        {"word": " Hello", "start": 0.0, "end": 0.32, "probability": 0.95},
+        {"word": " everyone,", "start": 0.32, "end": 0.78, "probability": 0.91},
+        {"word": " welcome", "start": 0.78, "end": 1.14, "probability": 0.98},
+        {"word": " back.", "start": 1.14, "end": 1.52, "probability": 0.97}
+      ]
+    }
+  ]
+}
+```
+- `segments[].words[]` gives word-level timing when `--word_timestamps true`
+- `probability` indicates confidence (< 0.5 = likely wrong)
+
+---
+
+## YouTube json3 Subtitle Parsing
+
+### Format Structure
+```json
+{
+  "events": [
+    {
+      "tStartMs": 1230,
+      "dDurationMs": 5000,
+      "segs": [
+        {"utf8": "hello ", "tOffsetMs": 0},
+        {"utf8": "world ", "tOffsetMs": 200},
+        {"utf8": "how ", "tOffsetMs": 450},
+        {"utf8": "are you", "tOffsetMs": 700}
+      ]
+    }
+  ]
+}
+```
+
+### Extracting Word Timing
+For each event and each segment within it:
+- `word_start_ms = event.tStartMs + seg.tOffsetMs`
+- `word_start_secs = word_start_ms / 1000.0`
+- `word_text = seg.utf8.trim()`
+
+Events without `segs` are line breaks or formatting — skip them.
+Events with `segs` containing only `"\n"` are newlines — skip them.
+
+---
+
+## SRT Generation from Transcript
+
+### SRT Format
+```
+1
+00:00:00,000 --> 00:00:02,500
+First line of caption text
+
+2
+00:00:02,500 --> 00:00:05,100
+Second line of caption text
+```
+
+### Rules for Building Good SRT
+- Group words into subtitle lines of ~8-12 words (2-3 seconds per line)
+- Break at natural pause points (periods, commas, clause boundaries)
+- Keep lines under 42 characters for readability on mobile
+- Adjust timestamps relative to clip start (subtract clip start time from all timestamps)
+- Timestamp format: `HH:MM:SS,mmm` (comma separator, not dot)
+- Each entry: index line, timestamp line, text line(s), blank line
+- Use `file_write` tool to create the SRT file — works identically on all platforms
+
+### Styled Captions with ASS Format
+For animated/styled captions, use ASS subtitle format instead of SRT:
+```
+ffmpeg -i clip.mp4 -vf "subtitles=clip.ass:force_style='FontSize=22,FontName=Arial,Bold=1,PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,Outline=2,Shadow=1,Alignment=2,MarginV=40'" -c:a copy output.mp4
+```
+
+Key ASS style properties:
+- `PrimaryColour=&H00FFFFFF` — white text (AABBGGRR format)
+- `OutlineColour=&H00000000` — black outline
+- `Outline=2` — outline thickness
+- `Alignment=2` — bottom center
+- `MarginV=40` — margin from bottom edge
+- `FontSize=22` — good size for 1080x1920 vertical
+
+---
+
+## FFmpeg Video Processing
+
+### Scene Detection
+```
+ffmpeg -i input.mp4 -filter:v "select='gt(scene,0.3)',showinfo" -f null - 2>&1
+```
+- Threshold 0.1 = very sensitive, 0.5 = only major cuts
+- Parse `pts_time:` from showinfo output for timestamps
+- On macOS/Linux pipe through `grep showinfo`, on Windows pipe through `findstr showinfo`
+
+### Silence Detection
+```
+ffmpeg -i input.mp4 -af "silencedetect=noise=-30dB:d=1.5" -f null - 2>&1
+```
+- `d=1.5` = minimum 1.5 seconds of silence
+- Look for `silence_start` and `silence_end` in output
+
+### Clip Extraction
+```
+# Re-encoded (accurate cuts)
+ffmpeg -ss 00:01:30 -to 00:02:15 -i input.mp4 -c:v libx264 -c:a aac -preset fast -crf 23 -movflags +faststart -y clip.mp4
+
+# Lossless copy (fast but may have keyframe alignment issues)
+ffmpeg -ss 00:01:30 -to 00:02:15 -i input.mp4 -c copy -y clip.mp4
+```
+- `-ss` before `-i` = fast seek (recommended for extraction)
+- `-to` = end timestamp, `-t` = duration
+
+### Vertical Video (9:16 for Shorts/Reels/TikTok)
+```
+# Center crop (when source is 16:9)
+ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih:(iw-ih*9/16)/2:0,scale=1080:1920" -c:a copy output.mp4
+
+# Scale with letterbox padding (preserves full frame)
+ffmpeg -i input.mp4 -vf "scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black" -c:a copy output.mp4
+```
+
+### Caption Burn-in
+```
+# SRT subtitles with styling (use relative path or forward-slash absolute path)
+ffmpeg -i input.mp4 -vf "subtitles=subs.srt:force_style='FontSize=22,FontName=Arial,PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,Outline=2,Alignment=2,MarginV=40'" -c:a copy output.mp4
+
+# Simple text overlay
+ffmpeg -i input.mp4 -vf "drawtext=text='Caption':fontsize=48:fontcolor=white:borderw=3:bordercolor=black:x=(w-text_w)/2:y=h-th-40" output.mp4
+```
+Windows path escaping: `subtitles=C\\:/Users/me/subs.srt` (double-backslash before colon)
+
+### Thumbnail Generation
+```
+# At specific time (2 seconds in)
+ffmpeg -i input.mp4 -ss 2 -frames:v 1 -q:v 2 -y thumb.jpg
+
+# Best keyframe
+ffmpeg -i input.mp4 -vf "select='eq(pict_type,I)',scale=1280:720" -frames:v 1 thumb.jpg
+
+# Contact sheet
+ffmpeg -i input.mp4 -vf "fps=1/10,scale=320:-1,tile=4x4" contact.jpg
+```
+
+### Video Analysis
+```
+# Full metadata (JSON)
+ffprobe -v quiet -print_format json -show_format -show_streams input.mp4
+
+# Duration only
+ffprobe -v error -show_entries format=duration -of csv=p=0 input.mp4
+
+# Resolution
+ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 input.mp4
+```
+
+## API-Based STT Reference
+
+### Groq Whisper API
+Fastest cloud STT — uses whisper-large-v3 on Groq hardware. Free tier available.
+```
+curl -s -X POST "https://api.groq.com/openai/v1/audio/transcriptions" \
+  -H "Authorization: Bearer $GROQ_API_KEY" \
+  -H "Content-Type: multipart/form-data" \
+  -F "file=@audio.wav" \
+  -F "model=whisper-large-v3" \
+  -F "response_format=verbose_json" \
+  -F "timestamp_granularities[]=word" \
+  -o transcript_raw.json
+```
+Response: `{"text": "...", "words": [{"word": "hello", "start": 0.0, "end": 0.32}]}`
+- Max file size: 25MB. For longer audio, split with ffmpeg first.
+- `timestamp_granularities[]=word` is required for word-level timing.
+
+### OpenAI Whisper API
+```
+curl -s -X POST "https://api.openai.com/v1/audio/transcriptions" \
+  -H "Authorization: Bearer $OPENAI_API_KEY" \
+  -H "Content-Type: multipart/form-data" \
+  -F "file=@audio.wav" \
+  -F "model=whisper-1" \
+  -F "response_format=verbose_json" \
+  -F "timestamp_granularities[]=word" \
+  -o transcript_raw.json
+```
+Response format same as Groq. Max 25MB.
+
+### Deepgram Nova-2
+```
+curl -s -X POST "https://api.deepgram.com/v1/listen?model=nova-2&smart_format=true&utterances=true&punctuate=true" \
+  -H "Authorization: Token $DEEPGRAM_API_KEY" \
+  -H "Content-Type: audio/wav" \
+  --data-binary @audio.wav \
+  -o transcript_raw.json
+```
+Response: `{"results": {"channels": [{"alternatives": [{"words": [{"word": "hello", "start": 0.0, "end": 0.32, "confidence": 0.99}]}]}]}}`
+- Supports streaming, but for clips use batch mode.
+- `smart_format=true` adds punctuation and casing.
+
+---
+
+## TTS Reference
+
+### Edge TTS (free, no API key needed)
+```
+# List available voices
+edge-tts --list-voices
+
+# Generate speech
+edge-tts --text "Your caption text here" --voice en-US-AriaNeural --write-media tts_output.mp3
+
+# Other good voices: en-US-GuyNeural, en-GB-SoniaNeural, en-AU-NatashaNeural
+```
+Install: `pip install edge-tts`
+
+### OpenAI TTS
+```
+curl -s -X POST "https://api.openai.com/v1/audio/speech" \
+  -H "Authorization: Bearer $OPENAI_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"model":"tts-1","input":"Your text here","voice":"alloy"}' \
+  --output tts_output.mp3
+```
+Voices: `alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer`
+Models: `tts-1` (fast), `tts-1-hd` (quality)
+
+### ElevenLabs
+```
+curl -s -X POST "https://api.elevenlabs.io/v1/text-to-speech/21m00Tcm4TlvDq8ikWAM" \
+  -H "xi-api-key: $ELEVENLABS_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"text":"Your text here","model_id":"eleven_monolingual_v1"}' \
+  --output tts_output.mp3
+```
+Voice ID `21m00Tcm4TlvDq8ikWAM` = Rachel (default). List voices: `GET /v1/voices`
+
+### Audio Merging (TTS + Original)
+```
+# Mix TTS over original audio (original at 30% volume, TTS at 100%)
+ffmpeg -i clip.mp4 -i tts.mp3 \
+  -filter_complex "[0:a]volume=0.3[orig];[1:a]volume=1.0[tts];[orig][tts]amix=inputs=2:duration=first[out]" \
+  -map 0:v -map "[out]" -c:v copy -c:a aac -y clip_voiced.mp4
+
+# Replace audio entirely (no original audio)
+ffmpeg -i clip.mp4 -i tts.mp3 -map 0:v -map 1:a -c:v copy -c:a aac -shortest -y clip_voiced.mp4
+```
+
+---
+
+## Quality & Performance Tips
+
+- Use `-preset ultrafast` for quick previews, `-preset slow` for final output
+- Use `-crf 23` for good quality (18=high, 28=low, lower=bigger files)
+- Add `-movflags +faststart` for web-friendly MP4
+- Use `-threads 0` to auto-detect CPU cores
+- Always use `-y` to overwrite without asking
+
+---
+
+## Telegram Bot API Reference
+
+### sendVideo — Upload and send a video to a chat/channel
+```
+curl -s -X POST "https://api.telegram.org/bot<BOT_TOKEN>/sendVideo" \
+  -F "chat_id=<CHAT_ID>" \
+  -F "video=@clip_N_final.mp4" \
+  -F "caption=Clip title here" \
+  -F "parse_mode=HTML" \
+  -F "supports_streaming=true"
+```
+
+### Parameters
+| Parameter | Required | Description |
+|-----------|----------|-------------|
+| `chat_id` | Yes | Channel (`-100XXXXXXXXXX` or `@channelname`), group, or user numeric ID |
+| `video` | Yes | `@filepath` for upload (max 50MB) or a Telegram `file_id` for re-send |
+| `caption` | No | Text caption, up to 1024 characters |
+| `parse_mode` | No | `HTML` or `MarkdownV2` for styled captions |
+| `supports_streaming` | No | `true` enables progressive playback |
+
+### Success Response
+```json
+{"ok": true, "result": {"message_id": 1234, "video": {"file_id": "BAACAgI...", "file_size": 5242880}}}
+```
+
+### Error Response
+```json
+{"ok": false, "error_code": 400, "description": "Bad Request: chat not found"}
+```
+
+### Common Errors
+| Error Code | Description | Fix |
+|------------|-------------|-----|
+| 400 | Chat not found | Verify chat_id; bot must be added to the channel/group |
+| 401 | Unauthorized | Bot token is invalid or revoked — regenerate via @BotFather |
+| 413 | Request entity too large | File exceeds 50MB — re-encode: `ffmpeg -i input.mp4 -fs 49M -c:v libx264 -crf 28 -preset fast -c:a aac -y output.mp4` |
+| 429 | Too many requests | Rate limited — wait the `retry_after` seconds from the response |
+
+### File Size Limit
+Telegram allows up to **50MB** for video uploads via Bot API. If a clip exceeds this:
+```
+ffmpeg -i clip_N_final.mp4 -fs 49M -c:v libx264 -crf 28 -preset fast -c:a aac -movflags +faststart -y clip_N_tg.mp4
+```
+
+---
+
+## WhatsApp Business Cloud API Reference
+
+### Two-Step Flow: Upload Media → Send Message
+
+WhatsApp Cloud API requires uploading the video first to get a `media_id`, then sending a message referencing that ID.
+
+### Step 1 — Upload Media
+```
+curl -s -X POST "https://graph.facebook.com/v21.0/<PHONE_NUMBER_ID>/media" \
+  -H "Authorization: Bearer <ACCESS_TOKEN>" \
+  -F "file=@clip_N_final.mp4" \
+  -F "type=video/mp4" \
+  -F "messaging_product=whatsapp"
+```
+
+Success response:
+```json
+{"id": "1234567890"}
+```
+
+### Step 2 — Send Video Message
+```
+curl -s -X POST "https://graph.facebook.com/v21.0/<PHONE_NUMBER_ID>/messages" \
+  -H "Authorization: Bearer <ACCESS_TOKEN>" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "messaging_product": "whatsapp",
+    "to": "<RECIPIENT_PHONE>",
+    "type": "video",
+    "video": {
+      "id": "<MEDIA_ID>",
+      "caption": "Clip title here"
+    }
+  }'
+```
+
+Success response:
+```json
+{"messaging_product": "whatsapp", "contacts": [{"wa_id": "14155551234"}], "messages": [{"id": "wamid.HBgL..."}]}
+```
+
+### File Size Limit
+WhatsApp allows up to **16MB** for video uploads. If a clip exceeds this:
+```
+ffmpeg -i clip_N_final.mp4 -fs 15M -c:v libx264 -crf 30 -preset fast -c:a aac -movflags +faststart -y clip_N_wa.mp4
+```
+
+### 24-Hour Messaging Window
+WhatsApp requires the recipient to have messaged you within the last 24 hours (for non-template messages). If you get a "template required" error, either:
+- Ask the recipient to send any message to the business number first
+- Use a pre-approved message template instead of a free-form video message
+
+### Common Errors
+| Error Code | Description | Fix |
+|------------|-------------|-----|
+| 100 | Invalid parameter | Check phone_number_id and recipient format (no + prefix, no spaces) |
+| 190 | Invalid/expired access token | Regenerate token in Meta Business Settings; temporary tokens expire in 24h |
+| 131030 | Recipient not in allowed list | In test mode, add recipient to allowed numbers in Meta Developer Portal |
+| 131047 | Re-engagement message / template required | Recipient hasn't messaged within 24h — use a template or ask them to message first |
+| 131053 | Media upload failed | File too large or unsupported format — re-encode as MP4 under 16MB |