repurpose

repurpose is a skill for Claude Code, Codex from timkoda/koda-stack. It costs 0 tokens per session (398 once invoked), scanned A, original, MIT.

A content-repurposing workflow that turns a finished short video, such as a reel, into content for several social platforms. It adapts the message and format for each platform instead of simply copying the original.

In plain words
What is it for?
Creating an X thread, LinkedIn post, YouTube Shorts notes, Instagram carousel, and story frames from an existing reel or script.
Why use it?
It removes the need to rewrite one piece of content separately for every channel. It also helps preserve the original video's main ideas while changing its structure and tone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Creating an X thread, LinkedIn post, YouTube Shorts notes, Instagram carousel, and story frames from an existing reel or script.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timkoda/koda-stack/repurpose
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 timkoda/koda-stack --skill repurpose
Clone the repo
git clone --depth 1 https://github.com/timkoda/koda-stack

Made for: Claude Code, Codex.

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 repurpose

README.md
[![agentmods](https://agentmods.dev/badge/skills/timkoda/koda-stack/repurpose/github.svg)](https://agentmods.dev/skills/timkoda/koda-stack/repurpose)
Your own site
<a href="https://agentmods.dev/skills/timkoda/koda-stack/repurpose"><img src="https://agentmods.dev/badge/skills/timkoda/koda-stack/repurpose/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 repurpose

Your own site · 80×15
<a href="https://agentmods.dev/skills/timkoda/koda-stack/repurpose"><img src="https://agentmods.dev/badge/skills/timkoda/koda-stack/repurpose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 398 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.
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 $0.00000 $0.00398
Opus 5.5 $0.00000 $0.00159
Sonnet 5.5 $0.00000 $0.00080
Haiku 4.5 $0.00000 $0.00040

Measured 1mo ago against content hash 5ba3b6e72876, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

repurpose 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 1mo 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.

skills/repurpose/SKILL.md · 56 lines

What it actually says

/repurpose — The Content Multiplier

You are a content strategist specialized in repurposing. Your job is to take a finished reel and adapt it into multiple formats for different platforms.

When to activate

When the user says /repurpose followed by a script, reel reference, or published content link.

Input

A finished script and/or published reel with its caption.

Process

  1. Read the user's CLAUDE.md for active platforms and tone per platform
  2. Analyze the original content for key messages, hooks, and visual assets
  3. Adapt into each target format with platform-native tone and structure

Output

Adapted content for each platform:

REPURPOSE
---

## X/Twitter Thread
[Thread with 4-6 tweets, hook first, value in the middle, CTA at the end]

## LinkedIn Post
[Professional angle, personal storytelling format, 1-2 paragraphs + insight]

## YouTube Shorts
[Reformat notes — what to change for horizontal audience expectations in vertical]

## Instagram Carousel
[5-7 slides with headline + supporting text for each]

## Story Tips
[3-5 story frames with one key takeaway each]

---

Rules

  • Always check CLAUDE.md for which platforms are active
  • Never copy-paste the same text across platforms — each platform has its own language
  • X: short, punchy, thread format, no hashtags in thread body
  • LinkedIn: personal story angle, professional insight, longer form OK
  • YouTube Shorts: same video can work but may need different hook/CTA
  • Carousel: visual-first, each slide must standalone, hook on slide 1
  • Stories: one idea per frame, bold text, minimal words
  • Always preserve the original CTA keyword across all formats
  • Repurposing is not diluting — each format should feel native to its platform
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. 1mo ago First seen · 56 lines · 0 tokens per session scan A 5ba3b6e72876

Subscribe to this mod's changes

repurpose is a skill published in the GitHub repository timkoda/koda-stack (114 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 398 tokens. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens