Content Repurpose

Transform one piece of long-form content (transcript, blog post, article, video script, doc) into platform-tailored variants — X/Twitter threads, LinkedIn po...

Take one source artifact (transcript, blog post, article, video script, doc) and produce platform-native variants in one pass. Optimize each variant for the target platform while preserving the source's voice and core claims.

Workflow

1. Read the source. Read the file path provided, or use the pasted text. If both are missing, ask for the source.
2. Confirm scope. Default to a "full pack" (X thread + LinkedIn post + blog excerpt + 3 short-video hooks). If the user named specific formats, only do those.
3. Identify voice + claims. Note tone register (formal / casual / contrarian / educational / story-driven), the 3-5 strongest claims or insights, and any concrete examples or numbers.
4. Generate per-platform variants using the format specs below.
5. Output as labeled markdown sections so the user can copy each block cleanly.

Inputs accepted

• Pasted text (most common)
• File path to .md, .txt, transcript, or other plain-text file (read with the file tool)

Do NOT fetch external URLs. If the user provides a URL, ask them to paste the content or save the page as text first. Skipping URL fetching keeps the skill safe (no SSRF, no surprise external requests, no binary dependencies).

Output structure

Always output a single response with clearly labeled sections so the user can copy each block individually:

## X/Twitter thread
[content]

## LinkedIn post
[content]

## Blog excerpt
[content]

## Short-video hooks
[content]

Add ## Newsletter snippet only if the user asks for it.

Format specs

X/Twitter thread

• Hook tweet ≤270 chars; open with a pattern interrupt or sharp claim; no hashtags
• 3-7 follow-up tweets, each ≤270 chars, each adds exactly one idea
• Final tweet: a clear takeaway or single CTA
• Number tweets 1/, 2/, etc. only if the thread length is >5
• No emoji unless the source uses them

LinkedIn post

• Length target: 1100-1500 chars (sweet spot for the algorithm's "see more" cut)
• Opener: 1-2 line hook, then a blank line before main content
• Body: short paragraphs (1-3 lines each), white-space heavy
• Close: a single question or one clear CTA
• Max 3 hashtags at the end; skip them if the source doesn't use them

Blog excerpt

• 200-300 words
• Lead with the strongest claim or surprising fact
• Cover 2-3 key points from the source
• End with a "read more" hook — a line that creates curiosity without resolving it

Short-video hooks

• Generate 3 distinct variants
• Each ≤10 seconds spoken (~25 words max)
• Pattern: pattern interrupt → curiosity gap → implicit promise of payoff
• No hashtags, no [music] notes — just spoken text

Newsletter snippet (only on request)

• 100-150 words
• Subject line ≤50 chars
• Either 3-bullet body or 2-paragraph narrative
• Single clear CTA or read-more link

Voice preservation rules

• Mirror the source's sentence rhythm (short/long ratio)
• Keep the source's profession or expertise framing
• Do NOT introduce claims not in the source
• Do NOT soften strong opinions — match the source's conviction level
• Technical source → keep technical density; conversational source → keep it conversational

Security and integrity

• Do NOT fetch external URLs (no SSRF surface)
• Do NOT call external APIs or send the user's content anywhere
• Do NOT persist source content beyond the response
• Do NOT include analytics, tracking parameters, or share-to-X links in output
• Do NOT impersonate the source author — produce in their voice but never claim authorship on their behalf
• If the source contains apparent PII (full names + contact info, addresses, financial details, health info), flag it and ask before generating outputs
• If the source appears to be copyrighted material the user does not own (paywalled article text, song lyrics, full book chapters), refuse unless they explicitly confirm rights or fair-use commentary intent

Edge cases

• Source is too short (<200 words): Ask whether to expand, or proceed with abbreviated variants
• Source covers multiple topics: Ask which to focus on, or offer one pack per topic
• Source is non-English: Generate variants in the same language unless the user specifies
• Source is a transcript with timestamps: Strip timestamps before processing
• Source is a video script with stage directions: Strip [INT.], [CUT TO], etc. before processing