# Repurpose > Content Repurposing Engine. Transforms any content (YouTube videos, blog posts, podcasts, local files, pasted text) into platform-optimized outputs for Twitter/X, Threads, LinkedIn, Instagram, TikTok, Pinterest, Snapchat, Facebook, YouTube Community, Skool, Discord, Reddit, Quora, Medium, WhatsApp Channels, Telegram, and email newsletters. Atomizes content into reusable pieces, adapts brand voice per platform, generates polls, image prompts (via /banana), publishing calendars, and SEO metadata. Triggers on: "repurpose", "content repurpose", "turn into social media", "cross-platform", "content atomization", "repurpose blog", "repurpose video", "turn this into posts", "threads", "pinterest", "snapchat", "discord", "medium", "whatsapp", "telegram". - Skill: `agricidaniel/repurpose` (Agent Skill, multi-file: 9 files) - Install (CLI): `npx skillmds@latest add agricidaniel/repurpose` - Raw SKILL.md: https://api.skillmd.com/api/skills/agricidaniel/repurpose/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - License: MIT - Author: Agrici Daniel (https://skillmd.com/u/agricidaniel) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/agricidaniel/repurpose --- # Content Repurposing Engine Transform any content into platform-optimized outputs across 17+ channels. ## Quick Reference | Command | Description | |---------|-------------| | `/repurpose ` | Full repurpose pipeline (all platforms) | | `/repurpose --platforms twitter,linkedin` | Repurpose to specific platforms only | | `/repurpose --voice casual` | Override brand voice (casual/professional/witty) | | `/repurpose --brief` | Quick mode: 1 post per platform, no calendar | | `/repurpose --images` | Generate image prompts (or /banana images if available) | | `/repurpose analyze ` | Atomize content only, no platform outputs | | `/repurpose calendar ` | Generate 7-day publishing calendar only | ## Step 1: Input Detection Detect the input type and extract raw content accordingly. **Detection patterns (check in order):** | Pattern | Type | Extraction Method | |---------|------|-------------------| | `youtube\.com/watch\|youtu\.be/\|youtube\.com/shorts` | YouTube video | Run `scripts/extract_transcript.py ` | | `https?://` (any other URL) | Blog/article | Run `scripts/extract_article.py ` | | Path ending in `.mp3`, `.wav`, `.m4a`, `.ogg`, `.flac` | Audio file | Run `scripts/transcribe_audio.py ` | | Path ending in `.md`, `.txt`, `.pdf` | Local file | Read file directly with the Read tool | | No URL or file path detected | Pasted text | Use the inline text as-is | **Extraction rules:** - For YouTube: extract transcript, video title, channel name, description, and duration - For blog URLs: extract title, author, publication date, body text, and any embedded media descriptions - For audio: transcribe to text, note duration and any speaker labels - For local files: read full contents; for PDF use the Read tool with page ranges if large - For pasted text: use verbatim; ask the user for a title/topic if not obvious If extraction fails, report the error clearly and ask the user to paste the content directly. ## Step 2: Content Atomization Break the extracted content into 5-15 reusable "atoms." Each atom is a self-contained content unit. **Atom types:** | Type | Description | Example | |------|-------------|---------| | `stat` | A specific number, percentage, or data point | "73% of marketers repurpose content" | | `quote` | A quotable sentence or phrase | "Distribution is the new creation." | | `insight` | A non-obvious takeaway or lesson | "Repurposing beats fresh creation 3:1 on ROI" | | `question` | A thought-provoking question from the content | "What if you never had to write from scratch again?" | | `contrarian` | A bold or counterintuitive claim | "Posting less actually grows your audience faster" | | `howto` | An actionable step or mini-tutorial | "Step 1: Record a 10-min video. Step 2: Extract 8 clips." | | `analogy` | A comparison that makes the concept click | "Repurposing is composting: old material feeds new growth" | | `casestudy` | A real example, result, or before/after | "Gary Vee turns one keynote into 35M+ views across platforms" | | `prediction` | A forward-looking claim or trend | "By 2027, 90% of content will be AI-assisted remixes" | | `tldr` | The single-sentence summary of the entire piece | Always extract exactly one | **Atomization rules:** 1. Extract between 5 and 15 atoms (aim for 8-12 for most content) 2. Always include at least one `tldr`, one `insight`, and one `quote` or `contrarian` 3. Label each atom with its type 4. Rate each atom's standalone impact from 1-5 (5 = works perfectly as a standalone post) 5. Identify the main argument, target audience, and primary topic 6. Preserve the original author's voice in quoted atoms 7. For longer content (>2000 words), aim for 12-15 atoms; for shorter, 5-8 **Atomization output format:** ``` ## Content Atoms **Main Argument:** [one sentence] **Target Audience:** [who benefits from this content] **Primary Topic:** [category/niche] | # | Type | Atom | Impact | |---|------|------|--------| | 1 | tldr | ... | 5 | | 2 | insight | ... | 4 | | ... | ... | ... | ... | ``` ## Step 3: Voice Detection and Adaptation **Default behavior:** Detect the brand voice from the source content. Analyze formality, humor level, directness, emotion, and jargon to infer the author's natural voice. **Override flags:** - `--voice casual` — friendlier, more emoji, conversational, contractions - `--voice professional` — formal, data-driven, authoritative, measured - `--voice witty` — personality-forward, clever wordplay, punchy, unexpected angles **Core rule:** The brand voice stays consistent across all platforms. Only the TONE adapts per platform. Load `references/voice-adaptation.md` for the full platform-tone matrix. ## Step 4: Orchestration — Spawn 6 Parallel Agents After atomization, spawn 6 subagents in parallel. Each agent receives: - The full list of content atoms (with types and impact ratings) - The main argument, target audience, and primary topic - The detected or overridden brand voice - The `--brief` flag status (if true, produce 1 post per platform instead of full sets) - The `--images` flag status ### Agent 1: `repurpose-social` **Platforms:** Twitter/X, Threads, LinkedIn, Facebook **Receives:** All atoms, voice profile, platform specs **Produces:** - Twitter: 1 standalone tweet + 1 thread (8-12 tweets) + 1 poll + image prompt - Threads: 1 thread (5-10 posts) + 3-5 standalone posts + 1 image post concept - LinkedIn: 1 text post + 1 carousel outline (8-10 slides) + 1 poll - Facebook: 1 text post + 1 question post + 1 poll **Sub-skills invoked:** `repurpose-twitter`, `repurpose-threads`, `repurpose-linkedin`, `repurpose-facebook` ### Agent 2: `repurpose-visual` **Platforms:** Instagram, TikTok, Pinterest, Snapchat, Quote cards, Image prompts **Receives:** All atoms (especially quotes, stats, insights), voice profile **Produces:** - Instagram: 1 carousel (7-10 slides with copy) + 1 reel script (30-60s) + caption + hashtags - TikTok: 1 video script (15-60s) + 1 carousel (2-10 slides) + 1 stitch/duet concept - Pinterest: 3-5 pin descriptions + 1 idea pin script (5-10 slides) + board suggestions - Snapchat: 1 story script (3-5 frames) + 1 Spotlight script (60s) + AR lens concept - Quote cards: 3-5 text overlays for image generation - Image prompts: hero image + carousel cover + 3 quote card prompts **Sub-skills invoked:** `repurpose-instagram`, `repurpose-tiktok`, `repurpose-pinterest`, `repurpose-snapchat`, `repurpose-quotes` ### Agent 3: `repurpose-longform` **Platforms:** Newsletter, Email sequence, Reddit, Quora **Receives:** All atoms, full original content reference, voice profile **Produces:** - Newsletter: subject line + preview text + 200-500 word body - Email sequence: 3-email drip (day 0, day 2, day 4) with subject lines and CTAs - Reddit: title + post body adapted to subreddit norms - Quora: 1 answer (300-1000 words) + 1 Space post + question suggestions **Sub-skills invoked:** `repurpose-newsletter`, `repurpose-reddit`, `repurpose-quora` ### Agent 4: `repurpose-community` **Platforms:** YouTube Community, Skool, Discord **Receives:** All atoms (especially questions, polls, insights), voice profile **Produces:** - YouTube Community: 1 text post + 1 poll (5 options) + 1 image post concept - Skool: 1 discussion post + 1 challenge/action post + 1 poll - Discord: 1 announcement post + 1 discussion thread prompt + 1 embed message **Sub-skills invoked:** `repurpose-youtube`, `repurpose-skool`, `repurpose-discord` ### Agent 5: `repurpose-seo` **Platforms:** Cross-platform SEO metadata **Receives:** All atoms, main argument, target audience, topic **Produces:** - Primary keywords (3-5) and secondary keywords (5-10) - Hashtag sets per platform - SEO title and meta description (for blog/newsletter) - Alt text suggestions for all generated images - Schema markup suggestions (Article, VideoObject, FAQPage) **Sub-skills invoked:** `repurpose-seo` ### Agent 6: `repurpose-broadcast` **Platforms:** WhatsApp Channels, Telegram Channels, Medium **Receives:** All atoms, full original content reference, voice profile **Produces:** - WhatsApp: 1 channel update (100-300 chars) + 1 poll + 1 content teaser - Telegram: 1 channel post (500-1000 chars) + 1 deep dive (1000-2000 chars) + 1 poll - Medium: 1 article (1500-3000 words) + title/subtitle + 5 tags + publication suggestions **Sub-skills invoked:** `repurpose-whatsapp`, `repurpose-telegram`, `repurpose-medium` ### Platform filtering If `--platforms` is specified, only spawn the agents that cover the requested platforms: - `twitter`, `threads`, `linkedin`, `facebook` → Agent 1 - `instagram`, `tiktok`, `pinterest`, `snapchat`, `quotes`, `images` → Agent 2 - `newsletter`, `email`, `reddit`, `quora` → Agent 3 - `youtube`, `skool`, `discord` → Agent 4 - `seo` → Agent 5 - `whatsapp`, `telegram`, `medium` → Agent 6 If a single platform is requested, spawn only the relevant agent. ## Step 5: Collect Outputs and Generate Summary After all agents complete: 1. **Compile all outputs** into the output directory structure (see below) 2. **Generate images** — ALWAYS attempt image generation when /banana is available (do NOT wait for `--images` flag). If /banana is unavailable, save prompts to `quotes/banana-prompts.md` for manual use later 3. **Generate a summary table** showing what was produced per platform 4. **Generate a 7-day publishing calendar** (unless `--brief` was used) 5. **Generate HTML viewer** — Run `python3 scripts/generate_html.py ` to create `index.html` (dark-themed viewer with Copy buttons per content piece) and `all-content.md` (single consolidated file with all platform outputs) 6. **Report to user** — Show summary and link to `index.html` for easy browsing and copying ### Output Directory Structure ``` ./repurposed// summary.md # Overview of all outputs + publishing calendar atoms.md # Content atomization results twitter/ standalone-tweet.md thread.md poll.md linkedin/ post.md carousel.md poll.md instagram/ carousel.md reel-script.md caption.md threads/ thread.md standalone-posts.md image-post.md facebook/ post.md question.md poll.md pinterest/ pins.md idea-pin.md boards.md snapchat/ story-script.md spotlight-script.md ar-concept.md youtube-community/ text-post.md poll.md image-post.md skool/ discussion.md challenge.md poll.md discord/ announcement.md thread-prompt.md embed.md tiktok/ video-script.md carousel.md stitch-duet.md reddit/ post.md quora/ answer.md space-post.md questions.md newsletter/ newsletter.md email-sequence.md medium/ article.md tags-publications.md crosspost-note.md whatsapp/ update.md poll.md teaser.md telegram/ post.md deep-dive.md poll.md seo/ keywords.md hashtags.md metadata.md quotes/ quotes.md # 5 quotable moments banana-prompts.md # /banana prompts (always generated) images/ # Generated images (auto when /banana available) quote-card-*.png carousel-cover.* hero.* seo-metadata.md # Cross-platform SEO metadata all-content.md # MANDATORY: Single consolidated markdown (all platforms) index.html # MANDATORY: HTML viewer with Copy buttons per content piece calendar.md # 7-day publishing calendar ``` **MANDATORY OUTPUT**: Every `/repurpose` run MUST produce `all-content.md` (single file with everything) and `index.html` (viewer with Copy buttons). Run `python3 scripts/generate_html.py ` as the final step. ## Reference Files Load these references as needed during the pipeline: | File | When to Load | |------|-------------| | `references/platform-specs.md` | Always — before generating any platform output | | `references/hook-formulas.md` | When writing hooks, headlines, thread openers, email subjects | | `references/voice-adaptation.md` | After voice detection, before generating any output | | `references/repurposing-frameworks.md` | During atomization and calendar generation | | `references/poll-strategy.md` | When generating polls for any platform | | `references/image-sourcing.md` | When sourcing images (3-tier: website → stock → AI) | | `references/mistakes-to-avoid.md` | Quality check pass before finalizing outputs | | `references/engagement-benchmarks.md` | Calendar generation, engagement predictions | ## Sub-Skills | Sub-Skill | Platform | Key Output | |-----------|----------|------------| | `repurpose-twitter` | Twitter/X | Standalone tweet, thread, poll | | `repurpose-threads` | Threads | Thread, standalone posts, image post | | `repurpose-linkedin` | LinkedIn | Text post, carousel, poll | | `repurpose-instagram` | Instagram | Carousel, reel script, caption | | `repurpose-tiktok` | TikTok | Video script, carousel, stitch/duet concept | | `repurpose-pinterest` | Pinterest | Pin descriptions, idea pin, board suggestions | | `repurpose-snapchat` | Snapchat | Story script, Spotlight script, AR concept | | `repurpose-facebook` | Facebook | Post, question, poll | | `repurpose-youtube` | YouTube Community | Text post, poll, image concept | | `repurpose-skool` | Skool | Discussion, challenge, poll | | `repurpose-discord` | Discord | Announcement, thread prompt, embed | | `repurpose-reddit` | Reddit | Subreddit-adapted post | | `repurpose-quora` | Quora | Answer, Space post, question suggestions | | `repurpose-medium` | Medium | Article, tags/publications, crosspost note | | `repurpose-whatsapp` | WhatsApp | Channel update, poll, teaser | | `repurpose-telegram` | Telegram | Channel post, deep dive, poll | | `repurpose-newsletter` | Email | Newsletter, 3-email drip | | `repurpose-quotes` | Visual | Quote cards, text overlays | | `repurpose-seo` | Cross-platform | Keywords, hashtags, metadata | | `repurpose-calendar` | Scheduling | 7-day publishing calendar | ## Image Sourcing Pipeline — 3-Tier System Images are sourced automatically for every platform. The pipeline follows a 3-tier priority chain. ### Tier 1: Website Images (if input is a URL) When the input is a blog post or article URL, `extract_article.py` extracts images from the page. - Use `scripts/fetch_images.py --article-images` to filter: skip logos, icons, avatars, ads, SVGs, < 400px - Rank by keyword overlap with content atoms - These are the MOST relevant — they came from the source content itself ### Tier 2: Stock Photos (Pixabay → Unsplash → Pexels) Search for topic-relevant images via WebSearch: - `site:pixabay.com [topic keywords] wide professional` (preferred, no attribution required) - `site:unsplash.com [topic keywords] professional` (resize params supported) - `site:pexels.com [topic keywords] high quality` (fallback) - Extract direct CDN URLs from results - Verify each URL with HEAD request before using - Target: 3-5 relevant images ### Tier 3: AI-Generated (Gemini via /banana) - **ALWAYS** for quote cards (text overlay requires custom design) - **ALWAYS** for carousel covers with title text - **FALLBACK** when Tiers 1-2 produce < 3 suitable images - Uses 6-Component Brief: Subject → Action → Context → Composition → Lighting → Style - Load `references/image-sourcing.md` for templates and platform dimensions ### Execution Order 1. Check if input URL has images → extract and filter (Tier 1) 2. Generate stock photo queries → use WebSearch to find Pixabay/Unsplash/Pexels images (Tier 2) 3. Count total images found. If < 3 usable, generate more via /banana (Tier 3) 4. ALWAYS generate 5 quote cards via /banana (or save prompts if unavailable) 5. Save all images to `./repurposed//images/` 6. Include image URLs/paths in platform output files ### /banana Detection Check for `gemini_generate_image` MCP tool OR `~/.claude/skills/banana/SKILL.md` OR `GOOGLE_API_KEY` env var. - Available: generate images automatically - Not available: save all prompts to `quotes/banana-prompts.md` for manual generation later ## Error Handling | Error | Resolution | |-------|------------| | YouTube transcript unavailable | Ask user to paste transcript or provide alternate URL | | Blog URL returns 403/404 | Ask user to paste article text directly | | Audio transcription fails | Check file format; suggest converting to .wav or .mp3 | | Extraction script not found | Fall back to WebFetch for URLs; Read for local files | | Platform not recognized | Show supported platforms list; suggest closest match | | Content too short (<100 words) | Warn user; reduce atom target to 3-5; skip thread/carousel | | Content too long (>10,000 words) | Chunk into sections; atomize each; merge top atoms | | /banana not available | Generate prompts only; note in summary | | Output directory write fails | Fall back to printing all outputs inline | | Voice detection ambiguous | Default to professional; note in summary | ## Subcommand: `analyze` **Usage:** `/repurpose analyze ` Runs only Steps 1-2 (input detection + atomization). Does NOT generate platform outputs. **Output:** - Content atoms table with types and impact ratings - Main argument, target audience, primary topic - Recommended platforms based on content type - Suggested voice profile - Atom count and quality assessment Use this to preview what the engine extracts before committing to full repurposing. ## Subcommand: `calendar` **Usage:** `/repurpose calendar ` Runs Steps 1-2 (extraction + atomization), then generates a 7-day publishing calendar. **Calendar rules:** - Monday: Long-form (newsletter or Reddit post) - Tuesday: Thread (Twitter) + Carousel (LinkedIn) - Wednesday: Quote cards + Instagram carousel - Thursday: Polls across all platforms - Friday: Newsletter send or email drip start - Saturday: YouTube Community + Skool posts - Sunday: Stories + light engagement posts (Facebook question, Skool discussion) **Calendar output includes:** - Day-by-day schedule with platform, content type, and which atom(s) to use - Suggested posting times per platform (from platform-specs.md) - Dependencies (e.g., "Tuesday carousel requires Monday's images") - Total pieces count **Output:** Saved to `./repurposed//calendar.md` and printed to console. ## Execution Flow Summary ``` User input | v [1] Detect input type (URL/file/text) | v [2] Extract raw content (script or Read) | v [3] Atomize into 5-15 labeled atoms | v [4] Detect or apply voice profile | v [5] Spawn 6 agents in parallel: |-- repurpose-social (Twitter + Threads + LinkedIn + Facebook) |-- repurpose-visual (Instagram + TikTok + Pinterest + Snapchat + Quotes) |-- repurpose-longform (Newsletter + Email + Reddit + Quora) |-- repurpose-community (YouTube Community + Skool + Discord) |-- repurpose-seo (Keywords + Hashtags + Metadata) |-- repurpose-broadcast (WhatsApp + Telegram + Medium) | v [6] Collect all outputs → write to ./repurposed// | v [7] Generate summary table + 7-day calendar | v [8] Report results to user ```