content-repurposer

content-repurposer is a skill for Claude Code from Affitor/affiliate-skills. It costs 91 tokens per session (2,472 once invoked), scanned A, original, MIT.

A method for adapting one piece of content into several formats for different channels. For example, a blog post can become social posts, emails, or a newsletter.

In plain words
What is it for?
Use it to turn blog posts, landing pages, video scripts, or social posts into content for other platforms.
Why use it?
It reduces the need to write every version from the beginning while adapting the content to each platform's length, style, and rules.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Part of the automation-skills plugin — 4 skills shipped together

Good fit Use it to turn blog posts, landing pages, video scripts, or social posts into content for other platforms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/affitor/affiliate-skills/content-repurposer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Affitor/affiliate-skills --skill content-repurposer
Clone the repo
git clone --depth 1 https://github.com/Affitor/affiliate-skills

Made for: Claude Code.

Or install automation-skills, the plugin that ships this one along with the rest of its 4 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-repurposer

README.md
[![agentmods](https://agentmods.dev/badge/skills/affitor/affiliate-skills/content-repurposer/github.svg)](https://agentmods.dev/skills/affitor/affiliate-skills/content-repurposer)
Your own site
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/content-repurposer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/content-repurposer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-repurposer

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/content-repurposer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/content-repurposer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,472 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.02472
Opus 5 $0.00046 $0.01236
Sonnet 5 $0.00018 $0.00494
Haiku 4.5 $0.00009 $0.00247

Measured 10d ago against content hash 2baef18c1448, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

content-repurposer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/automation/content-repurposer/SKILL.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

Read the full file on GitHub · 224 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 224 lines · 91 tokens per session scan A 2baef18c1448

Subscribe to this mod's changes

content-repurposer is a skill published in the GitHub repository Affitor/affiliate-skills (654 stars, last pushed 4d ago), licensed MIT. It adds 91 tokens to every session and 2,472 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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