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X Repurpose

Community
Jakeschincariol
x-repurpose

Turn one long asset - a YouTube video, podcast, newsletter, blog post, transcript, LinkedIn post or client call - into a week of X posts and one thread. Use when the user says "repurpose this", "turn this into tweets", "I have a video/newsletter/transcript", or pastes a long piece of content and wants it on X.

Overview

PublisherJakeschincariol
Repositoryx-agent-skill
Skill namex-repurpose
Stars
66
Forks
12
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 Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the X Repurpose 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/Jakeschincariol/x-agent-skill/tree/main/skills/x-repurpose
  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/Jakeschincariol/x-agent-skill.git /tmp/x-agent-skill
mkdir -p .claude/skills
cp -r /tmp/x-agent-skill/skills/x-repurpose .claude/skills/x-repurpose
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable X Repurpose 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 X Repurpose 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 X Repurpose 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.

x-repurpose

One good long asset holds five to eight X posts and a thread. Most people post one link to it and throw the rest away.

Input

A transcript, article, newsletter, script, or call summary. If the user gives a YouTube URL and the session has a transcript tool, use it; otherwise ask them to paste the text. Read the whole thing before extracting anything.

Extract, do not summarise

A summary is not a post. Nobody on X wants the summary. Pull out the things that stand alone:

pullwhat it isbecomes
Claimsevery sentence that would start an argumenta #1 Contrarian or #21 One-Liner
Numbersevery figure, cost, duration, percentagea #13 Statistic or #9 Time Anchor
Storiesa person, a scene, a costa #3 Cost Confession or a short thread
Mechanisms"the way this works is..."a thread, one step per post
Mistakesanything that went wronga #17 The Regret
Linesa sentence already quotable as-isa post on its own, nearly verbatim

List what you found, with counts, before writing anything. If the asset yields fewer than four items, it is thin, and posts squeezed from it will be thin too. Say so.

Then build the week

Each extract becomes one post, and each one has to stand completely alone. The reader has not seen the video and never will. Never write "as I said in my latest video". The post is the thing.

  • Assign a hook formula from ../x-post/hooks.json to each, and vary them. Six posts from one source in the same shape reads as a content mill.
  • The strongest claim goes first in the week. The mechanism becomes the thread, midweek. The link to the original goes in a reply under the thread's last post, if anywhere.
  • From a LinkedIn post: cut it to the one line that carries it. LinkedIn rewards the long version; X rewards the sentence that survives alone.

Output

SOURCE: "Why we killed discovery calls" (18 min, 3,400 words)

FOUND  4 claims, 6 numbers, 2 stories, 3 mechanisms, 1 mistake, 5 lines

WEEK
MON  #1  Contrarian    Discovery calls are a tax you pay for a bad website.
TUE  #9  Time Anchor   We got 6 hours a week back by deleting one calendar link.
WED  THREAD            The 4-question form that replaced the call, one question per post.
THU  #21 One-Liner     Nobody books a call to learn your price.
FRI  #3  Cost          $9,000 of pipeline, lost to a "quick call" that never happened.

Say "write Monday" and I will draft it.

Then draft on request, one at a time, each through /x-post (or /x-thread) and /x-human. Do not dump six finished posts at once: they will all sound the same, and the user will edit none of them.

Frequently asked questions

What does the X Repurpose AI skill do?

Turn one long asset - a YouTube video, podcast, newsletter, blog post, transcript, LinkedIn post or client call - into a week of X posts and one thread. Use when the user says "repurpose this", "turn this into tweets", "I have a video/newsletter/transcript", or pastes a long piece of content and wants it on X.

Why use X Repurpose on TypingMind?

Because you install it once and use it with any model. X Repurpose 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 X Repurpose in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/x-agent-skill/tree/main/skills/x-repurpose. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use X Repurpose?

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 X Repurpose?

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

Is the X Repurpose AI skill free?

Yes. It is published on GitHub by Jakeschincariol 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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