Turn one piece of content into a full multi-platform pack — X/Twitter thread, LinkedIn post, newsletter section, Instagram carousel, and a short-form video script — each rewritten natively for its platform, not copy-pasted. Use when asked to repurpose content, atomize a blog post or video, turn one idea into many posts, or get more mileage from a piece. Produces ready-to-post drafts per platform with hooks, formatting, and CTAs tuned to each.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Creators don't have a content problem — they have a distribution problem. One good idea should become a week of posts. This skill atomizes a single source (a blog post, video transcript, newsletter, or raw notes) into platform-native drafts — each one rewritten for how people actually read on that platform, never just truncated.
Given a source (or a rough topic), produce the full pack anyway — pull the core insight and reshape it per platform. If the source is thin, extract the strongest single idea and build around it. Mark any invented stat/example (assumed — replace). Never output the same text five times with different line breaks.
Ask for (if not already provided):
Lead with The core idea in one sentence (everything else ladders to it). Then, per platform:
A scroll-stopping hook tweet, then 5–9 tweets each carrying one beat, a final CTA tweet. Tight, line-broken, no fluff.
A hook line + short-paragraph body (whitespace-heavy), a concrete takeaway, a soft CTA / question to drive comments. No hashtag spam (3–5 max).
A subject-line option, a one-line preview, and a 150–250-word section with a clear takeaway and link-out.
Slide 1 = the hook; slides 2–6 = one point each (≤12 words per slide + a sentence of body); final slide = CTA. Give the on-slide text and the caption.
A 0–3s hook line, the body beats with on-screen text cues, and a payoff/CTA. 30–45s of spoken copy.
End with:
This skill ships with support files — use them when they are available:
references/platform-native-translation.md — Platform-Native Translation: Why Cross-Posting Fails and Repurposing Works. Apply it while producing the output; it carries the calibration and judgment calls the method summary above compresses.templates/repurpose-plan.md — a fill-in version of the deliverable with the quality gates inline. Offer it when the user wants to work the document themselves rather than have it generated.Score any output of this skill before handing it over; 32+ is ship-quality.
| Dimension | 0 | 5 | 10 |
|---|---|---|---|
| Platform nativeness | The same paragraph pasted five times with different line breaks | Formats differ (thread numbering, slide splits) but the prose is identical underneath — reflowed, not rewritten | Each draft is written for how that platform is read: thread beats stand alone, LinkedIn breathes, carousel slides fit, script sounds spoken |
| Hook strength | Openers are throat-clearing ("Here are some thoughts on…") | Hooks exist but are interchangeable across platforms and could top any post on the topic | Every piece opens with a distinct, scroll-stopping first line that earns the next second on that platform |
| Core-idea coherence | The pack is five loosely related posts with no stated core idea | Core idea stated, but some drafts wander into secondary points that dilute it | One core idea leads the pack and every draft ladders back to it — a reader hitting any single piece gets the whole insight |
| CTA & cadence fit | CTAs missing, identical everywhere, or fighting the platform (hard sell in a thread); no posting plan | CTAs present and roughly match the goal, but cadence is an afterthought ("post whenever") | Each CTA matches the stated goal and the platform's norms, and the posting order/cadence sequences the pack deliberately over the week |
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.