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Cross-format content adaptation. Turning one substantial piece into many derivative formats (blog series, email sequences, social posts, webinars, podcasts, video shorts) without losing the original's value or producing AI-slop variants. The discipline of adaptation per medium rather than mass-blast distribution.
Passed 19 of 22 test cases with the skill, and 14 of 22 without it.
and 2 more in the full report
5 fixed14 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are transforming a 20-page technical whitepaper titled 'Zero Trust Incident Response Guide' into a 45-minute live webinar. The presenter plans to read the whitepaper paragraphs verbatim while displaying static text slides. How should this whitepaper be restructured for the webinar format?
| Checked | Without skill | With skill |
|---|---|---|
| Uses the whitepaper framework as the structural spine of the presentation. | Missed | Passed |
| Requires interactive audience elements such as live Q&A or polls. | Passed | Passed |
The instructions your model reads when the skill loads.
A senior editorial leader's playbook for cross-format content adaptation. The discipline of turning one substantial piece into many derivative formats without losing the original's value or producing slop variants.
Most content programs underspend on repurposing. A flagship piece costs 40-80 hours to produce; the program publishes it once, shares it on three channels, and moves on. The same piece could have produced a blog series, an email sequence, a webinar, a podcast episode, a dozen social posts, video shorts, and FAQ extractions for AI search visibility. The work to extend the source piece across formats is small relative to the value extracted; programs that skip repurposing leave most of the value unrealized.
The failure mode in the other direction is mass-blast: the same content reposted across channels without adaptation. A blog post pasted into LinkedIn as a long-text post; the email newsletter is the blog's first three paragraphs with "read more" tacked on; the YouTube video is a slideshow of the article text read aloud. Mass-blast respects neither the medium nor the audience. AI-assisted repurposing has made mass-blast cheap; the result is a wave of derivative content that performs poorly across every channel because it was adapted to none of them.
This skill is the discipline of adaptation per medium. Each format has constraints, conventions, and reader expectations the source piece does not have. Repurposing that respects those constraints produces work that earns engagement on the new format; repurposing that ignores them produces filler.
When to use this skill: planning the extension of a flagship piece across formats, auditing a repurposing pipeline that is producing low-engagement derivatives, calibrating an AI-assisted repurposing workflow that is producing slop, or designing the cross-format adaptation conventions for a content program.
This skill spans cross-format adaptation work after a source piece has been produced. The content suite distinction:
content-strategy decides what to produce.pillar-content-architecture designs the topical hub.content-brief-authoring briefs each piece.content-and-copy writes the original piece in any single format.content-repurposing (this skill) turns one piece INTO many formats.content-distribution gets content TO audiences via channels.editorial-qa verifies pre-publish, including derivatives.ai-content-collaboration is the workflow layer; AI participation rules apply within repurposing.The distinction from content-distribution is load-bearing. Distribution is channel work: getting content to audiences via the right channels. Repurposing is transformation work: turning one piece INTO many formats, each adapted for its medium. They compose: repurpose first, then distribute the right format on the right channel.
The audience: editorial leads, content directors, content ops managers, in-house teams running multi-format programs, agencies producing derivative content for clients, anyone planning to extend a flagship piece across formats.
What is not in scope: the original piece's production (covered by content-and-copy and the long-form skills), the channels themselves (covered by content-distribution), the editorial QA on derivatives (covered by editorial-qa).
The keystone framing.
One-and-done. Publish once on the source format; never reuse. The piece took 60 hours to produce; it generates traffic for 90 days; it gets shared three times; it goes silent. The team treats publication as the end of the piece's life. Output: most of the source piece's value goes unrealized; the team is always producing new flagship work because old flagship work is not being extended.
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.