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Skill

/repurpose-content

Use when user has one piece of existing content (podcast or video transcript, blog post, internal doc, talk, older LinkedIn post that performed, long email) and wants multiple LinkedIn-shaped pieces from different angles. Trigger phrases include "repurpose this," "turn this into

From plugin
linkedin-maxxing
417 skills17 commands
Install
$ npx -y skills add warpirate/linkedin-maxxing --skill repurpose-content --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/repurpose-content

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when user has one piece of existing content (podcast or video transcript, blog post, internal doc, talk, older LinkedIn post that performed, long email) and wants multiple LinkedIn-shaped pieces from different angles. Trigger phrases include "repurpose this," "turn this into

SKILL.md

repurpose-content.SKILL.md
name: repurpose-content
description: |
  Use when user has one piece of existing content (podcast or video
  transcript, blog post, internal doc, talk, older LinkedIn post that
  performed, long email) and wants multiple LinkedIn-shaped pieces from
  different angles. Trigger phrases include "repurpose this," "turn this
  into LinkedIn posts," "give me 5 posts from this article," "I have a
  transcript I want to use," or when user uploads a long-form file and
  asks how to use it on LinkedIn.
license: MIT

Repurpose content

One strong piece of source content can become five to ten LinkedIn posts, each from a different angle, because long-form material almost always contains multiple distinct ideas the original author treated as one. This skill exists to find those distinct ideas and shape each into something LinkedIn-sized, in the user's voice, without producing variations on the same thing.

Why this skill exists

Most LinkedIn AI tools that claim "repurposing" just rewrite the source into a shorter version, then rewrite it again with different phrasing. The result is five posts that say the same thing five ways. They cannibalize each other and bore the audience.

Real repurposing finds the different claims, examples, and moments inside the source and shapes each one into its own LinkedIn-native piece. A talk has multiple beats; each beat can be its own post. A blog post has a main argument and several supporting points; the supporting points can be standalone posts. A podcast transcript has the speaker saying surprising things at specific moments; those moments become posts.

The test: if two of the repurposed pieces could be confused for each other, the repurposing failed.

When to use this skill

Trigger when:

  • The user uploads a long-form file and asks what to do with it on LinkedIn
  • The user has a past blog post, talk, or article and wants to extract LinkedIn pieces from it
  • The user has a podcast or video transcript (theirs or one they were in) and wants to share it
  • A past LinkedIn post performed well and the user wants to mine adjacent angles
  • The user has internal docs (decisions, postmortems, design reviews) that can be made public

Do NOT trigger when:

  • The user wants to write a new post from a fresh idea. Send to find-ideas, then write-post.
  • The user wants to translate the source into a different format with the same content. That is a format conversion, not repurposing.
  • The source contains nothing publicly shareable. Repurposing cannot manufacture material.

What you need from the user

The source content. Either pasted into chat, uploaded as a file, or linked (the user needs to paste the text since URLs often will not fetch). Plus:

1. What is the source? (talk, blog, podcast, internal doc, old post) 2. How many pieces do they want? (Default: 3-5. Cap at 7. More than 7 from one source tends to dilute.) 3. What formats are open? (Posts, carousels, video scripts, or only text posts.)

If voice-profile.md exists, read it.

How repurposing works

A good repurposing pass has three steps:

**1. Read the source for distinct ideas.** A 30-minute talk has roughly 4-8 distinct beats. A 1,500-word blog post has 3-5. A podcast episode usually has 5-10 "moments" (a surprising claim, a specific story, a turn of phrase). The first job is to identify these without summarizing the whole.

**2. For each distinct idea, identify its anchor.** What is the specific moment, quote, number, or detail from the source that makes this idea LinkedIn-postable? If you cannot point to a specific anchor in the source, the idea is too generic.

**3. Choose a format and an angle.** Each piece gets:

  • A format (post, carousel, video script)
  • An angle (the one-line first-person claim, like find-ideas seeds)
  • The source anchor (the line, moment, or detail that grounds it)

The output of this skill is essentially a batch of find-ideas seeds, each derived from the source, ready to be sent to the appropriate writing skill.

Output format

Source: [type and brief description]
Pieces produced: [N]

---

Piece 1: [format]. [one-line angle]

Source anchor: [the specific line, quote, moment, or detail from the source that grounds this piece]

Why this angle: [one sentence on what makes it postable]

Best fit for: [write-post / build-carousel / write-video-script / write-longform]

---

Piece 2: [format]. [one-line angle]

Source anchor: ...

[continue for each piece]

---

Suggested cadence: [if relevant: how to space the pieces over time so they do not feel like a barrage from one source]

Drafting constraints (apply WHILE writing, not after)

Output must read as written by a human on the first pass. The constraints below are how you write, not a checklist to apply later. Do not narrate this process to the user. Do not show a "before humanizer / after humanizer" sequence. Just produce clean output.

**Hard bans — never appear in output:**

  • Em dashes (—) and en dashes (–). Use period, comma, colon, or parentheses.
  • "It's not just X, it's Y" / "Not only X but Y" constructions.
  • "The real question is," "at its core," "fundamentally," "what really matters."
  • Signposting: "Let's dive in," "here's what you need to know," "let's break this down," "without further ado."
  • Sycophancy: "Great question," "you're absolutely right," "I hope this helps," "let me know if..."
  • Knowledge-cutoff hedges: "based on available information," "as of my last update."
  • AI vocabulary: leverage, delve, tapestry, underscore, pivotal, crucial, vibrant, testament, landscape (abstract), interplay, intricate, fostering, enduring, garner, valuable, enhance, showcase, align with, additionally.
  • Copula avoidance: "serves as," "stands as," "marks a," "represents a," "boasts," "features." Use is/are/has.
  • Emoji decoration on bullets or headings.
  • Title Case In Headings. Use sentence case.
  • Curly quotes ("..."). Use straight quotes (") only.
  • Bold for random emphasis. Bold only for genuine key te
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Ships withlinkedin-maxxing

17 Claude Code skills + slash commands for substance-first LinkedIn growth. Profile audit, content drafting (posts, carousels, longform, video, DMs, comments), performance analysis, and a Wikipedia-based humanizer. Anti-template, anti-slop, open source, MIT.

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