Content Repurposer logo

Content Repurposer

Organization
Affitor
content-repurposer

Repurpose one piece of affiliate content into multiple formats. Triggers on: "repurpose my content", "turn my blog into tweets", "cross-post this", "content recycling", "convert to newsletter", "make a tweet thread from this", "adapt for TikTok", "omnichannel content", "scale my content", "turn this into a LinkedIn post", "repurpose for email", "content multiplication".

Overview

PublisherAffitor
Repositoryaffiliate-skills
Skill namecontent-repurposer
Stars
705
Forks
209
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Affitor on GitHub. Read the source before you install it.

Installation

Install the Content Repurposer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/content-repurposer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Affitor/affiliate-skills.git /tmp/affiliate-skills
mkdir -p .claude/skills
cp -r /tmp/affiliate-skills/skills/automation/content-repurposer .claude/skills/content-repurposer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Repurposer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Repurposer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Repurposer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Content Repurposer

Repurpose one piece of affiliate content into multiple formats — blog post to tweets, landing page to email, video script to blog, social post to newsletter. Each output is adapted to the target platform's rules, tone, length, and FTC requirements. Output is a set of ready-to-post content blocks.

Stage

S7: Automation — Creating content from scratch is expensive. The fastest way to scale is to repurpose what already works. One blog post can become 5 tweets, 1 LinkedIn post, 1 Reddit post, and 2 emails — multiplying your reach without multiplying your effort.

When to Use

  • User has existing content and wants it on more platforms
  • User says "turn my blog into tweets" or "repurpose this for LinkedIn"
  • User wants to scale content distribution without writing from scratch
  • User says "cross-post", "content recycling", "omnichannel"
  • User has a winning piece and wants to maximize its ROI
  • Chaining from S2-S5: take any content output and adapt it for additional platforms

Input Schema

yaml
source_content: string         # REQUIRED — the original content (full text, or from conversation)

source_type: string            # REQUIRED — "blog" | "social" | "landing" | "email"
                               # | "video_script" | "newsletter"

target_formats:                # REQUIRED — formats to repurpose into
  - string                     # "tweet_thread" | "linkedin_post" | "tiktok_script"
                               # | "newsletter" | "reddit_post" | "email"
                               # | "blog_summary" | "pinterest_pin"

product:
  name: string                 # OPTIONAL — product being promoted
  affiliate_url: string        # OPTIONAL — affiliate link to include in each format

Chaining context: If S2-S5 content was generated in the same conversation, reference it directly: "repurpose my blog post for Twitter and LinkedIn."

Workflow

Step 1: Analyze Source Content

Extract from the source:

  • Core value proposition: The main benefit or insight
  • Key hooks: Attention-grabbing statements or data points
  • Proof points: Statistics, testimonials, personal experience
  • CTA: The action the reader should take
  • Affiliate link: The link to preserve in all formats

Step 2: Map to Target Formats

For each target format, define constraints:

  • Tweet thread: 5-10 tweets, 280 chars each, hook in tweet 1, CTA + link in last tweet
  • LinkedIn post: 1,300 chars max for full visibility, professional tone, no link in body (comments)
  • TikTok script: 30-60 seconds, spoken word, hook in first 3 seconds, CTA at end
  • Newsletter: 500-800 words, subject line + preview, value-first structure
  • Reddit post: Authentic tone, value-first, disclosure at bottom, suggest subreddit
  • Email: Subject + preview + body + CTA, 200-300 words
  • Blog summary: 300-500 words condensed version with key points
  • Pinterest pin: Title (40 chars), description (500 chars), image text suggestion

Step 3: Adapt Content

For each target format:

  1. Select the most relevant hooks and proof points
  2. Rewrite in the platform's native voice and format
  3. Adjust length to platform norms
  4. Place affiliate link according to platform best practices
  5. Add platform-appropriate FTC disclosure

Step 4: Add Platform-Specific Posting Guides

For each output, include:

  • Best time to post (general guidance)
  • Hashtag strategy (if applicable)
  • Engagement tips specific to the platform
  • Link placement rules

Step 5: Output All Variants

Present each format as a separate, clearly labeled block ready to copy and paste.

Step 6: Self-Validation

Before presenting output, verify:

  • Each format is adapted to its platform (not copy-pasted across formats)
  • Character counts are within platform limits
  • FTC disclosure present in every variant that contains affiliate link
  • Core value proposition preserved across all repurposed formats
  • Affiliate link placement follows platform-specific rules

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
repurposed:
  source_type: string
  source_summary: string       # one-sentence summary of original
  formats_generated: number

outputs:
  - format: string             # target format name
    content: string            # the repurposed content (ready to post)
    platform: string           # which platform this is for
    character_count: number
    affiliate_link_placement: string  # where the link goes
    disclosure: string         # FTC disclosure used
    posting_guide:
      best_time: string
      hashtags: string[]
      tips: string[]

Output Format

  1. Source Summary — one paragraph describing the original content
  2. Repurposed Content — each format as a separate block with clear headers
  3. Posting Guide — per-format tips for best results
  4. Affiliate Link Summary — which formats include the link and where

Error Handling

  • Source content too short (<100 words): "The source content is quite short. I'll work with what's here, but longer source content produces better repurposed variants. Consider using the full blog post rather than just the intro."
  • No affiliate link: "I'll repurpose the content without an affiliate link. Add [YOUR_AFFILIATE_LINK] where I've marked the CTA before posting."
  • Incompatible format: "Converting a tweet to a blog post is more like 'expanding' than 'repurposing.' Use S3 (affiliate-blog-builder) to write a full blog post around this topic instead."

Examples

Example 1: Blog to social media

User: "Turn my HeyGen review blog post into a tweet thread and LinkedIn post" Action: Extract key points from the blog (top 5 features, pricing, verdict). Tweet thread: Hook tweet → 5 feature tweets with mini-takes → verdict tweet → CTA tweet with link + #ad. LinkedIn post: Professional angle (time savings, ROI), personal experience tone, link in first comment, #ad disclosure.

Example 2: Landing page to email

User: "Repurpose my Semrush landing page into a 3-email sequence" Action: Extract value proposition, benefits, social proof, CTA from landing page. Email 1: Problem awareness (pain point from landing page). Email 2: Solution introduction (benefits). Email 3: CTA (affiliate link + urgency from landing page). Each email under 300 words.

Example 3: Social post to newsletter

User: "My LinkedIn post about AI tools got 500 likes. Turn it into a newsletter." Action: Expand the LinkedIn post's hook into a newsletter intro. Add depth: examples, data, personal experience that couldn't fit in 1,300 chars. Structure: Hook → context → 3 insights → recommendation → CTA. Include FTC disclosure and affiliate link.

References

  • shared/references/ftc-compliance.md — Per-platform FTC disclosure rules. Read in Step 3.
  • shared/references/affitor-branding.md — Branding guidelines for page outputs. Referenced in Step 3.
  • shared/references/flywheel-connections.md — master flywheel connection map

Revenue & Action Plan

Expected Outcomes

  • Revenue potential: Repurposing multiplies the revenue of a single piece of content across platforms. One winning blog post repurposed to 5 platforms = 5x more affiliate link exposure. If the original blog earns $200/month, repurposed versions can add $100-500/month from new traffic sources
  • Benchmark: The best-performing repurposed format is usually email (highest CTR, 2-5%) and LinkedIn (highest professional engagement). Reddit drives the highest conversion rate (3-5%) but lowest volume
  • Key metric to track: Affiliate link clicks per repurposed format. Which platform sends the most clicks per piece of content?

Do This Right Now (15 min)

  1. Post the highest-potential repurposed piece immediately — usually the LinkedIn or X version (fastest engagement)
  2. Schedule the rest across the next 5-7 days — one platform per day to maximize algorithm reach
  3. Add UTM parameters to every affiliate link: ?utm_source=[platform]&utm_medium=repurpose&utm_campaign=[original_title]
  4. Bookmark the original — if any repurposed version goes viral, create more content on that angle

Track Your Results

After 14 days: which repurposed format drove the most affiliate clicks? Focus your repurposing effort on that format first in the future. Kill formats that consistently get zero clicks — not every platform works for every niche.

Next step — copy-paste this prompt: "Schedule all my repurposed content for the next 30 days" → runs social-media-scheduler

Flywheel Connections

Feeds Into

  • content-pillar-atomizer (S2) — repurposed content to atomize further
  • social-media-scheduler (S5) — repurposed content to schedule

Fed By

  • affiliate-blog-builder (S3) — blog articles to repurpose
  • landing-page-creator (S4) — landing page copy to repurpose into emails
  • performance-report (S6) — identifies top-performing content worth repurposing

Feedback Loop

  • performance-report (S6) shows which repurposed formats perform best → prioritize those formats

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering.

yaml
chain_metadata:
  skill_slug: "content-repurposer"
  stage: "automation"
  timestamp: string
  suggested_next:
    - "content-pillar-atomizer"
    - "social-media-scheduler"

Frequently asked questions

What does the Content Repurposer AI skill do?

Repurpose one piece of affiliate content into multiple formats. Triggers on: "repurpose my content", "turn my blog into tweets", "cross-post this", "content recycling", "convert to newsletter", "make a tweet thread from this", "adapt for TikTok", "omnichannel content", "scale my content", "turn this into a LinkedIn post", "repurpose for email", "content multiplication".

Why use Content Repurposer on TypingMind?

Because you install it once and use it with any model. Content Repurposer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Repurposer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/content-repurposer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Repurposer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Repurposer?

As many as you like. As long as a model supports skills, you can use Content Repurposer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Repurposer AI skill free?

Yes. It is published on GitHub by Affitor under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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