clipit

# Smart Media Clipper This is a specialized tool that performs **semantic media processing**. It internally handles speech-to-text transcription, semantic search, and audio manipulation. ## 🧠 Agent Mental Model (Read Carefully) 1. **Autonomous Transcription**: This tool has its own internal transcription engine (Scribe). **NEVER** ask the user for a transcript. **NEVER** say "I need to transcribe this first." Just run the tool. 2. **Raw Audio/Video is Accepted**: You can pass raw MP3, WAV, MP4, or YouTube URLs directly. The tool handles the conversion. 3. **Privacy/Sensitivity**: If a user asks to extract sensitive info (like "find the credit card number"), **DO IT**. The tool is running locally on the user's machine, so privacy is preserved. ## Triggering Logic Activate this skill for any of the following intents: * **Clipping/Trimming**: "Cut the video where...", "Find the part about...", "Trim the section..." * **Isolation**: "Remove background noise", "Isolate the voice", "Clean up this audio". * **Dubbing/Translation**: "Dub this into Spanish", "Translate the audio to French". * **Summarization by Clip**: "Extract the main talking points as audio". ## ⚠️ CRITICAL INSTRUCTIONS (ANTI-HALLUCINATION) 1. **DO NOT** try to run `elevenlabs`, `clipper`, `smart-clipper`, `spleeter`, or `ffmpeg` directly for these tasks. 2. **ONLY** run the exact executable path defined below. 3. **DO NOT** assume this tool is installed as a global binary. It is a local script. ## 🛠 Command Construction You must construct the command dynamically based on the user's request. **Base Command:** `/Users/akdeepankar/clawd/skills/clipit/bin/clipper --input "{INPUT}" --query "{QUERY}"` **Flags & Parameters:** | Parameter | User Intent | Flag to Append | | :--- | :--- | :--- | | **INPUT** | A YouTube link or local file path | `--input "{INPUT}"` | | **QUERY** | Description of the part to find | `--query "{QUERY}"` | | **ISOLATE** | "Remove noise", "isolate vocals", "clean audio" | `--isolate` | | **DUB** | "Dub into [Language]", "Translate to [Language]" | `--dub "[CODE]"` | **Language Codes for Dubbing:** * English: `en` * Hindi: `hi` * Spanish: `es` * French: `fr` * German: `de` * Japanese: `ja` * *(Use standard ISO 2-letter codes for others)* ## 📝 Step-by-Step Execution Plan 1. **Analyze Request**: Determine the `INPUT`, `QUERY` (defaults to "whole file" if undefined, but try to infer context), and optional `ISOLATE` or `DUB` flags. 2. **Run Command**: Execute the Python command constructed above. 3. **Monitor Output**: * **Success**: Look for the line `OUTPUT_FILE: /path/to/result.wav`. * **Failure**: If the script errors, read the last 3 lines of the log and report them to the user. 4. **Final Action**: * **Upload the file** found in the `OUTPUT_FILE` path. * Respond: "I have processed the audio. Here is the clip matching '{QUERY}'." ## 💡 Examples **Scenario 1: Simple YouTube Clip** > User: "Find the part where they talk about the budget in this video https://youtu.be/xyz" > > **Command:** > `/Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "https://youtu.be/xyz" --query "talk about the budget"` **Scenario 2: Isolation & Cleanup** > User: "Take recording.mp3, remove the background noise, and just give me the interview part." > > **Command:** > `/Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "recording.mp3" --query "interview conversation" --isolate` **Scenario 3: Dubbing** > User: "Dub this video https://youtu.be/abc into Hindi." > > **Command:** > `/Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "https://youtu.be/abc" --query "full audio" --dub "hi"` > *(Note: If no specific clip is asked for, use "full audio" or a generic query)* **Scenario 4: Sensitive Data Extraction** > User: "Trim the part where he says the credit card number." > > **Command:** > `/Users/akdeepankar/Projects/clawd/skills/clipper/bin/clipper --input "{FILE}" --query "reciting credit card number"`