Content Repurposer

Takes a single piece of source content (blog post, article, transcript, or long-form post) and transforms it into six distribution-ready formats: LinkedIn post, Twitter/X thread, email newsletter, carousel slides, short-form video script, and pull quotes. Reads brand voice and tone rules from agency.config.json to ensure consistency across all outputs.

Prerequisites

• agency.config.json at repo root with outreach, services, case_studies, and agency sections
• Source content: a blog post URL, pasted article, transcript, or long-form text (minimum 500 words)
• Optional: target audience segment override (defaults to primary ICP segment from config)
• Optional: channels to skip (if you only need 3 of 6 formats)

Capabilities Used

1. brand-voice -- for tone, vocabulary, and sentence structure rules
2. message-generator -- for email newsletter formatting and CTA patterns

Phase 0: Intake

1. Read agency.config.json from the project root.
2. Extract:
   • agency.name -- for attribution and sign-offs
   • agency.founder -- for personal voice in LinkedIn/Twitter
   • outreach.tone -- voice and style guide for all outputs
   • outreach.banned_phrases -- phrases that must not appear in any format
   • services[] -- for weaving in relevant service mentions where natural
   • case_studies[] -- for proof points if the source content references results
   • icp.segments[] -- to tailor language to the target audience
3. Accept parameters:
   • source_content -- (required) the full text of the source piece, or a URL to fetch
   • source_type -- blog | article | transcript | linkedin-post | podcast-notes | case-study. Default: blog
   • target_audience -- which ICP segment this targets. Default: primary segment
   • channels -- array of output formats to generate. Default: all six
   • cta -- the call-to-action to include across formats (e.g., "Book a free CRO audit")
   • author -- name for attribution. Default: agency.founder

Phase 1: Content Analysis

Parse the source content and extract its structural DNA:

Core extraction:

• Central thesis: the single main argument or insight in one sentence
• Key points: 3-7 supporting points or sub-arguments, ordered by strength
• Data points: any statistics, percentages, results, or quantitative claims
• Quotes: memorable or punchy lines that work standalone
• Story elements: anecdotes, examples, before/after narratives
• Keywords: primary topic keywords and secondary related terms
• Emotional hook: the pain point, aspiration, or curiosity angle that makes this content compelling

Content quality assessment:

• Word count of source
• Depth level: surface, moderate, deep
• Originality markers: unique data, proprietary frameworks, first-hand experience
• Repurpose potential score: 1-10 (based on variety of angles extractable)

Compile:

SOURCE ANALYSIS:
---
Thesis: [one sentence]
Key points: [numbered list]
Data points: [list]
Best quotes: [2-3 standalone lines]
Story elements: [list]
Emotional hook: [the core pain/aspiration]
Repurpose potential: [score]/10

Phase 2: Format Transformation

Generate each output format by restructuring the source material, not summarizing it. Each format demands a different structure, length, and hook strategy.

Format 1: LinkedIn Post

Structure: Hook line, value body, CTA, hashtags Length: 150-300 words (optimal for LinkedIn algorithm) Rules:

• Opening line must stop the scroll: use a bold claim, counterintuitive take, or specific number
• One line per paragraph for the first 3 lines (appears above the fold)
• Use line breaks aggressively for readability
• No more than 3-5 hashtags at the end
• CTA should invite comments or discussion, not just link clicks
• Write in first person (founder voice)
• Reference the original content as "deeper dive" but make the post self-contained

Format 2: Twitter/X Thread

Structure: Hook tweet, value tweets (5-10), CTA tweet Length: 5-12 tweets, each under 280 characters Rules:

• Tweet 1: the hook, must work standalone, no "Thread:" prefix
• Each tweet delivers one complete thought
• Use numbers and data in individual tweets where available
• Tweet transitions should flow naturally without "1/", "2/" numbering
• Final tweet: CTA + link to full piece
• Include one "retweet bait" tweet (a standalone insight people want to share)
• No emojis unless they replace words for character savings

Format 3: Email Newsletter

Structure: Subject line, preview text, greeting, body, CTA, sign-off Length: 200-400 words body Rules:

• Subject line: max 50 characters, curiosity or benefit-driven
• Preview text: complements subject, does not repeat it
• Open with the most compelling insight or data point from the source
• Body: 2-3 key takeaways, written conversationally
• One primary CTA (read the full post, book a call, reply)
• Sign off using outreach.sign_off from config
• P.S. line with a secondary hook or personal note
• Respect outreach.banned_phrases

Format 4: Carousel Slides

Structure: 7-12 slides with title + body per slide Length: 15-30 words per slide body, 3-8 words per slide title Rules:

• Slide 1: Hook slide with attention-grabbing title (question, bold stat, or contrarian claim)
• Slide 2: Context or problem setup
• Slides 3-8: One key point per slide, with supporting detail
• Slide 9-11: Data point or case study result slide
• Final slide: CTA slide with clear next step and handle/brand
• Each slide must be self-contained (readable without context)
• Use consistent slide title format throughout
• No walls of text: if a slide needs more than 30 words, split it

Output as structured JSON array for design tool ingestion.

Format 5: Short-Form Video Script

Structure: Hook, body, CTA Length: 45-90 seconds when spoken (approximately 120-240 words) Rules:

• First 3 seconds: the hook (question, surprising fact, or bold statement)
• Body: 3 key points delivered in rapid succession
• Use conversational language (written to be spoken aloud)
• Include visual/B-roll cues in brackets: [show product page], [cut to results graph]
• CTA: follow, comment, or visit link in bio
• Pacing notes: mark pauses and emphasis
• Format for teleprompter readability (short lines, natural break points)

Format 6: Pull Quotes and Micro-Content

Structure: 3-5 standalone quotes or micro-posts Length: 15-40 words each Rules:

• Each quote must work completely out of context
• Suitable for: Instagram stories, quote graphics, presentation slides, social media fillers
• Mix types: data-driven, opinion-driven, actionable tip
• Include attribution format: "-- [Author], [Agency]"

Phase 3: Cross-Format Consistency Check

Before finalizing, verify consistency across all outputs:

1. Thesis alignment: every format communicates the same core thesis
2. Tone check: read each format against outreach.tone. Flag and rewrite anything off-brand
3. Banned phrase scan: check all six outputs against outreach.banned_phrases
4. CTA consistency: the same primary CTA appears in all formats (adapted to channel)
5. Fact consistency: data points and claims are identical across formats (no rounding differences)
6. Voice consistency: first person throughout (not switching between "I" and "we" randomly)
7. No redundancy in distribution: if someone follows on LinkedIn AND subscribes to the newsletter, the two pieces should feel complementary, not identical

Phase 4: Output

Return structured JSON:

{
  "source_analysis": {
    "thesis": "The central argument in one sentence",
    "key_points_count": 5,
    "data_points_count": 3,
    "repurpose_potential": 8,
    "source_word_count": 1850
  },
  "linkedin_post": {
    "body": "Full LinkedIn post text with line breaks...",
    "hashtags": ["#D2C", "#Shopify", "#CRO"],
    "word_count": 220,
    "hook_type": "data-driven"
  },
  "twitter_thread": {
    "tweets": [
      "Tweet 1: the hook...",
      "Tweet 2: first point...",
      "Tweet 3: data point...",
      "Tweet N: CTA..."
    ],
    "tweet_count": 8,
    "retweet_bait_index": 3
  },
  "email_newsletter": {
    "subject_line": "Subject line here",
    "preview_text": "Preview text here",
    "body": "Full newsletter body...",
    "ps_line": "P.S. line here",
    "word_count": 310,
    "cta": "Read the full breakdown"
  },
  "carousel": {
    "slides": [
      {"slide_number": 1, "title": "Hook Title", "body": "Slide body text", "design_note": "Bold typography, dark background"},
      {"slide_number": 2, "title": "The Problem", "body": "Context text"},
      {"slide_number": 3, "title": "Point 1", "body": "Detail text"}
    ],
    "total_slides": 10,
    "estimated_read_time": "2 min"
  },
  "video_script": {
    "hook": "First 3 seconds text",
    "body": "Full script with [visual cues]...",
    "cta": "CTA text",
    "duration_seconds": 65,
    "word_count": 175
  },
  "pull_quotes": [
    {"quote": "Standalone quote text", "type": "data-driven", "attribution": "Ekata Singh, Plasho"},
    {"quote": "Another quote", "type": "opinion", "attribution": "Ekata Singh, Plasho"}
  ],
  "distribution_schedule": {
    "day_1": "Publish blog + LinkedIn post",
    "day_2": "Twitter thread",
    "day_3": "Email newsletter",
    "day_5": "Carousel on LinkedIn",
    "day_7": "Short-form video (Reels/Shorts)",
    "ongoing": "Pull quotes as filler content"
  },
  "consistency_check": {
    "thesis_aligned": true,
    "tone_compliant": true,
    "banned_phrases_clear": true,
    "cta_consistent": true,
    "facts_consistent": true
  }
}

Phase 5: Distribution Calendar

Suggest an optimal posting schedule to maximize reach without content fatigue:

• Day 1: Publish the source content (blog/article) + LinkedIn post teasing it
• Day 2: Twitter/X thread (standalone value, links back to source)
• Day 3: Email newsletter to subscriber list
• Day 5: LinkedIn carousel (enough gap from the text post)
• Day 7: Short-form video on Instagram Reels / YouTube Shorts / TikTok
• Ongoing: Pull quotes as filler content between major posts

This schedule ensures the same audience sees the content in different formats across different channels without feeling spammed.

Example Usage

Trigger phrases:

• "Repurpose this blog post across channels"
• "Turn this article into social content"
• "Create a LinkedIn post, thread, and newsletter from this"
• "Repurpose this for all platforms"
• "Turn this transcript into content"
• "Break this down for social media"

User: Repurpose this blog post about Shopify CRO for D2C brands [pastes 2000 word article]
Assistant: [analyzes source, generates all 6 formats, ensures brand voice consistency, returns structured JSON with distribution schedule]

User: Turn this podcast transcript into a LinkedIn carousel and Twitter thread
Assistant: [analyzes transcript, generates only carousel and thread formats, skips other channels, returns structured JSON]