Automate Campaign Clipping With Claude Code

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AI Clipping With Claude Code: How to Automate Clipping From Campaign Brief to Checked, Disclosed Clips

AI clipping usually means one thing: a tool finds moments in a long video and cuts them vertical. In a paid clipping campaign that is the easy part. Clips get rejected for the rest of the job: a missing hashtag, the watermark the brief asked for, the wrong length, an account that isn't verified, a disclosure that isn't there, a link submitted 40 minutes after posting. This post shows how to automate clipping as the whole job, with AI Clipping Skill, a free, MIT-licensed skill for Claude Code (it also runs in Codex, Cursor and OpenClaw). Your agent reads the campaign brief into a checklist, cuts one disclosed clip per account from the footage the campaign supplied, checks every clip against the brief in code, shows one plan page, and after one yes posts to TikTok, Reels and Shorts and hands you each link with the minute its submission window closes. Everything before posting runs on your own computer with Python and ffmpeg and works without signing up for anything. npx skills add social-media-skills/ai-clipping-skill -g -a claude-code -y
Repo: github.com/social-media-skills/ai-clipping-skill The example in the repo: a made-up campaign on a 9-minute NASA interview, three clips for three accounts. Where a real campaign's clip shows its paid-partnership line, the example shows "EXAMPLE ONLY: not a real ad". NASA and Bob Behnken endorse nothing here. What a clipping campaign asks for On Whop and Content Rewards, a campaign pays per 1,000 views for short clips of footage the brand or creator supplies. The brief sets the rules, and Content Rewards' own rejection guide says most rejections come from a detail the clipper skimmed past. A typical brief asks for: Money: a rate per platform, a minimum payout per clip (nothing below it), a cap per clip, a fee, a total budget that can run out. The caption: a hashtag, an @mention, a link, nothing from the banned list. The screen: a watermark or logo, a length range, 9:16. The footage: only the supplied files, sometimes only streams from the last few days. The account: verified in the marketplace, a link in the bio, sometimes a minimum share of viewers in the US and an engagement floor. After posting: submit the link within 30 minutes, one post into one campaign once, stay public and unchanged for 30 days, keep analytics screenshots as proof. And every campaign post is an ad. Content Rewards requires the disclosure at the start of the video and at the top of the caption, Whop's clipper terms require following the FTC's rules, and TikTok takes undisclosed branded posts out of For You. That list is why "automate clipping" can't stop at cutting. Each of those items is a check a script can run before the post exists. The prompt I joined a clipping campaign. Brief is in brief.txt, footage is behnken.mp4. Accounts: TikTok @example.clipper (everyone, comments on, duets and stitches off), Reels @example.clipper.reels, Shorts @exampleclipper (public, not for kids), all verified in the marketplace. No AI-made people or voices. That answers what the agent would otherwise ask in its first message: the brief, the footage, the accounts, whether each is verified, and the settings only the account owner may choose. When posting isn't connected yet, the agent puts the signup link at the top of that first message, so the account gets made while the clips render. Step 1: the brief becomes a checklist The agent copies the brief's own numbers and words into campaign.json, then: python3 /scripts/campaign.py campaign.json
1. Platforms and rates: TikTok $1.00 per 1,000 views, Instagram Reels $0.80 per 1,000 views, YouTube Shorts $0.50 per 1,000 views.
2. Payout: minimum payout per clip $5.00; cap per clip $150.00; marketplace fee 10%; total budget $3,000.00; $2,140.00 left when checked 16 Nov 13:30 UTC. When the budget runs out, views stop paying.
3. Pays from: TikTok 5,000, Instagram Reels 6,250, YouTube Shorts 10,000 views per clip; under that a clip earns nothing.
4. Every caption: sta...

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