Image: GitHub
Why it mattersA creator or marketing team using Claude to draft reels and shorts gets output shaped by what holds a viewer, not by the same bold-claim-then-list pattern that is now obvious wherever AI writes short-form.
A short-form reel that opens with a bold claim, hands over three numbered beats and signs off with "follow for more" has become the surest sign a model wrote it. Remy Gaskell published Content Principles, a Claude skill that reached 112 stars and 13 forks in its first two days, and its argument is that the fix for template-shaped output is to drop the template entirely.
Gaskell's README says most content skills give Claude a shape to fill in, so every post comes out sounding the same as everyone else's. Content Principles instead teaches Claude how a viewer's mind works, from curiosity loops to specificity to how the first line's job is to sell the second. The model then reasons about each video from scratch. The author's note says the skill is built from five hundred hours of studying the best short-form creators.
What a user does with it
Content Principles ships as a Claude skill, with the author also noting that the SKILL.md text can be dropped into a ChatGPT custom instruction for people on that model. The brief after loading it is normal: ask Claude for a reel about a topic, ask for ten hooks for a piece of writing, or paste something already written and ask Claude to audit it with the skill. The output is reasoned against the principles rather than produced from a slot-filling template.
Why a skill, not a prompt
A Claude skill is a reusable block of behaviour that the model loads when the task fits. It sits in the same place every project does, which matters for a creator who runs Claude from a terminal and for a marketer who runs it from a chat window. The author ships one SKILL.md file and nothing else: no runtime, no evaluation harness, no telemetry. The repository has two commits, one license file and the SKILL.md itself.
The honest limit of a tool like this is that nobody has measured the output. The traction on the repository, 112 stars in forty-eight hours and thirteen forks, says short-form creators recognise the problem it names. It does not prove the output tests any better in a scroll. Treat the skill as a replacement for a stock template, which is a lower bar than that of a measured improvement, and still a useful change. A creator trying it against yesterday's script knows within an afternoon whether the model is reasoning about hooks or still padding them.
The broader move the skill points at is one more AI-sounding pattern retired by replacing a template with a short brief that teaches the model why the template exists. The next class of writing where this trick applies is any format a reader can recognise as AI from the shape alone: LinkedIn posts, cold emails, product-page headlines.
Source
Primary source: aiwithremy/content-principles on GitHub.
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
Get AI News in your inbox
New developer tools, model and agent releases, and how teams are actually using them to release software. Short, and only when there is something worth reading.
