Generates a newsletter teaser package (subject lines, preview text, teaser body) for a published article, designed to drive clicks. Useful when promoting articles in email newsletters.
How this skill is triggered — by the user, by Claude, or both
Slash command
/autopunk-media-skills:newsletter-teaser-writerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Writes a short, high-click newsletter teaser for a published article — including subject line options, preview text, and the teaser body — ready to paste into an email newsletter platform.
Writes a short, high-click newsletter teaser for a published article — including subject line options, preview text, and the teaser body — ready to paste into an email newsletter platform.
Required: Article headline and a 3–6 sentence summary of what the piece covers (or a paste of the article's introduction) Optional: Newsletter tone (formal, conversational, literary, punchy); subscriber audience description; publish platform or CMS link to include; whether this is the only article in the newsletter or one of several; any line from the article you consider the most arresting
Full newsletter teaser package: 3 subject line options (annotated with register), 1 preview text option, teaser body (70–120 words), and link cue line. Total output length: 250–350 words. Plain prose — no HTML, no headers. Formatted to copy-paste into any newsletter platform. Output ends with a "Next Step" note: which subject line to send first, whether to run an A/B test on two options, and whether to run social-media-excerpt to extend the article's reach across platforms.
Article headline: The Rent Is Too Damn Complicated: How Algorithmic Pricing Took Over the Rental Market Article summary: A reported feature on how property management software now sets rental prices automatically using real-time market data and competitor pricing, a process critics say reduces competition and pushes rents higher in concentrated markets. Includes data from court filings, interviews with tenant advocates, and explanation of how the software works. Newsletter tone: Serious but accessible; subscribers are educated adults who follow economic policy Include: Article link placeholder Most arresting line: "In cities where landlords use the same software, critics argue, there is no longer any meaningful competition on price."
Subject Line Options
A. The algorithm setting your rent (curiosity; 34 characters) B. How landlords stopped competing on rent (direct/analytical; 40 characters) C. Your landlord isn't setting your rent. Software is. (provocative; best for high open-rate test; 51 characters — slightly long but punchy)
Preview Text A quiet piece of property software is changing how cities price housing. (72 characters)
Teaser Body
When you search for an apartment, you probably assume landlords set their own prices. Many of them don't anymore.
A new generation of rental pricing software now makes those decisions automatically — scanning competitor listings, vacancy rates, and demand signals in real time, then adjusting rents across entire portfolios. In cities where the major landlords all use the same platform, tenant advocates and antitrust researchers say the effect is the same as price coordination, without any room conversation happening at all.
We reported on how the software works, why it's become the industry standard, and what it means for anyone who rents.
Use Subject Line A for a standard send; test Subject Line C if open rates on this topic have been lower than average — the second-person framing tends to outperform on housing.
npx claudepluginhub ur-grue/autopunk-media-skills --plugin autopunk-media-skillsGenerates five newsletter subject line options using distinct opening strategies (declarative, data point, tension/question, counterintuitive, reader-benefit) based on the edition's lead story and audience.
Plans complete newsletter issues from topics or ideas, including research, drafts, subject lines, hooks, and social promotion posts. Activates on 'plan a newsletter' or similar requests.
Generates headline candidates (news, press release, pitch subject lines) from raw story facts using ten proven headline moves.