Video Content Autopilot Publisher
Takes raw footage, organizes it with one task per video, and publishes finished content using copy you already wrote, nothing new.
- video
- automation
- publishing
- organization
Video coming soon
This skill's short video goes here.What it does
Receives raw footage via a verified upload, creates a tracking task per video plus a lightweight review proxy, then clears local copies. A daily job publishes finished videos using each task's already-prepared caption. It never writes new copy: it only organizes and publishes what you already approved.
When to use it
- When you record a lot of footage and need a reliable organization flow.
- When the copy per video is already ready and only timely publishing is left.
- When you want to free local storage without losing control over what gets published.
Steps
- Upload the raw footage to your connected storage folder.
- The system verifies the upload and creates a tracking task per video.
- A lightweight proxy is generated for quick review.
- Local copies are cleared once the upload is confirmed.
- A daily job publishes videos marked ready, using the caption already loaded in each task.
- You decide which video to mark ready; nothing publishes without that mark.
The skill
content-autopilot-publisher/SKILL.mdDownload SKILL.md
--- name: content-autopilot-publisher description: Takes raw footage, organizes it with one task per video, and publishes finished content using copy you already wrote, nothing new. --- # Video Content Autopilot Publisher ## 1. What it does - Receives raw footage via a verified upload, creates a tracking task per video plus a lightweight review proxy, then clears local copies. A daily job publishes finished videos using each task's already-prepared caption. It never writes new copy: it only organizes and publishes what you already approved. ## 2. When to use it - When you record a lot of footage and need a reliable organization flow. - When the copy per video is already ready and only timely publishing is left. - When you want to free local storage without losing control over what gets published. ## 3. Step by step - Upload the raw footage to your connected storage folder. - The system verifies the upload and creates a tracking task per video. - A lightweight proxy is generated for quick review. - Local copies are cleared once the upload is confirmed. - A daily job publishes videos marked ready, using the caption already loaded in each task. - You decide which video to mark ready; nothing publishes without that mark. ## 4. Safety rules - Safety rules: everything ships as a draft first; nothing is sent, published, or paid for without your explicit approval; no data, numbers, or results are ever invented; no credentials or secrets are typed into chat. ## 5. Best practices - Always review the full draft before approving any send, publish, or payment. - If real information (data, numbers, results) is missing, ask for it to be flagged as pending instead of invented. - Keep credentials and keys out of chat; set them in environment variables or your secrets manager. ## 6. GoHighLevel integration - Where relevant, results can be saved as contacts, tags, tasks, or notes inside your GoHighLevel sub-account. - No automation inside GHL (workflow, campaign, trigger) activates without your review first.
For Claude Code, save it as ~/.claude/skills/content-autopilot-publisher/SKILL.md. In Cursor, ChatGPT or another assistant, paste it as project instructions.
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