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Content Repurposer

Ein Newsletter rein, eine Woche Social Content raus

Verwandelt ein fertiges Langformat in eine Woche Social Content — Karussell-Gliederungen, Kurzvideoskripte, Posts — ohne Fakten zu erfinden.

Content Repurposer Vorschau
Am besten für
Newsletter-Autoren, Creator
Zeitaufwand
~20 Min. pro Ausgabe
Stufe
Anfängerfreundlich

In 3 Schritten installieren

Keine Anmeldung. Keine CLI-Tools. Wählen Sie Ihre AI, kopieren Sie eine Zeile und fügen Sie sie ein.

Pro — alle 511 Skills

Lieber selbst machen? Kaufen Sie den Skill ($4.99), laden Sie die ZIP-Datei aus Ihrer Kaufbestätigung herunter, entpacken Sie sie in das oben angezeigte Verzeichnis und starten Sie Ihre AI-Sitzung neu — gleiches Ergebnis. Haben Sie ihn schon gekauft? Ihr AI-Assistent kann ihn für Sie herunterladen.

Beweise aus der Praxis

Echte Menschen haben genau diese Aufgabe mit AI-Agenten erledigt.

Was ist enthalten

Eine SKILL.md (die Anleitung) + eine Startvorlage. Eine Vorschau:

Content Repurposer

When to use

  • You published a newsletter and want LinkedIn posts, carousel outlines, short-video scripts, and notes from it without writing from scratch
  • You have a blog post or whitepaper and need a week's worth of social content that stays faithful to the original
  • Your content cadence outpaces your writing time and one solid idea must stretch across 3–4 platforms
  • A teammate writes the long-form piece and you need a repeatable way to adapt it per platform
  • You're building a content flywheel and need the "one in, many out" step standardized with quality guardrails

Workflow

  1. Feed the original (input: finished long-form piece → output: source text + fact list)
    Paste the full newsletter or blog post. Extract the real insights, hooks, claims, and numbers — each tagged with where it appeared in the original. Nothing enters the pipeline without a source to point back to.
  2. Set the voice rules (input: 3–5 of your past pieces → output: voice guide)
    Collect your own samples that sound like you and write down what makes them yours: sentence length, tone, words you never use. A voice guide can't be handed to you — it has to be built from your writing over time, and it's what keeps rewrites from sounding generic.
  3. Map one-to-many (input: fact list + insights → output: platform plan)
    Decide which insight goes to which format: carousel outline, 60-second video script, LinkedIn post, short note. Not every insight fits every format — cut before writing, not after.
  4. Rewrite per platform (input: platform plan + voice guide → output: drafts)
    Rewrite each piece in that platform's native shape: hook-first for video, slide-by-slide for carousels. Keep every fact traceable to the original piece. Flag anything unverified instead of smoothing it over.
  5. Fact-check pass (input: drafts → output: flagged draft set)
    Verify every number, quote, and claim against the original. Anything that came only from the agent gets flagged or deleted. This step is not optional — one real case let a free agent run without it and shipped fabricated data; only a fixed workflow with per-step guardrails was reliable.
  6. Approve and schedule (input: clean drafts → output: scheduled posts)
    A human reviews, edits, and approves every piece. Only approved pieces go into the scheduler. Review the flagged items first — they're usually where the agent got creative.

Output spec

Vorschau der Startvorlage

Content Repurposer — One-In-Many-Out Batch Template

One source piece = one batch doc. Fill this in for each newsletter/blog post you repurpose.

Source piece — {title}, {date}

Full text: {paste or link} Core audience: {who this was written for} Main argument in one line: {the one idea everything else hangs on}

Extracted insights & facts

Voice guide (build once, refine forever)

  • Sentence rhythm: {short/punchy / long/winding / mixed}
  • Tone words: {e.g. blunt, warm, dry}
  • Never use: {words or phrases that aren't you}
  • Reference pieces: {3–5 links to your past writing}

Platform drafts

#### Carousel — {platform, e.g. LinkedIn/IG}

Das Skill-Paket selbst (SKILL.md + Vorlage) ist auf Englisch verfasst.

Pro — alle 511 Skills

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