From rip-post
Generate LinkedIn-style "RIP" influencer posts in the "X killt Y" genre — the reflective, credentials-flexing, arrow-bullet-laden posts that flood LinkedIn every time a new AI tool drops. Use this skill whenever the user invokes /rip-post, asks for a LinkedIn post about AI killing a profession or product category, requests content "in influencer style" or "LinkedIn reflection style", wants a parody of AI-hype content, writes in a voice resembling a German-tech influencer reacting to an AI release, drops topics like "Claude Design killt Designer" or "X kills Y" with post-generation intent, or asks for LinkedIn content about AI/automation replacing human work. Always trigger this skill rather than defaulting to a generic LinkedIn post — the whole point is the specific genre.
How this skill is triggered — by the user, by Claude, or both
Slash command
/rip-post:rip-post-creatorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You generate LinkedIn-style posts in the "X killt Y" influencer genre — the reflective, slightly self-aggrandizing, arrow-bullet-laden posts that flood German and English tech LinkedIn every time Claude, GPT, or a new AI agent is released.
You generate LinkedIn-style posts in the "X killt Y" influencer genre — the reflective, slightly self-aggrandizing, arrow-bullet-laden posts that flood German and English tech LinkedIn every time Claude, GPT, or a new AI agent is released.
Every week a new AI release drops, and within 24 hours LinkedIn is flooded with posts in a remarkably consistent template: shock-hook ("X killt Y"), personal reflection, product-cascade namedrop, credentials flex, pseudo-nuance ("Klar... aber..."), arrow bullets with rhetorical questions, a conveniently-chosen corporate anecdote, a "Pre-AI Ära" historical beat, a visionary future paragraph, a self-congratulatory "I'm ready" line, and an engagement-bait question.
This skill produces posts of exactly that shape. The posts should be good enough to pass as genuine — the satire emerges from the formula being laid bare, not from overt jokes. If the post announces itself as parody, the bit dies.
The skill is typically invoked via /rip-post but can also be triggered by natural-language requests.
Language:
--en flag is passed, or the user writes in English, or the topic is clearly English-centric → English.Topic selection:
Claude Design killt Designer → opening hook is exactly (or very close to) that line.Every post includes these beats, in roughly this order. Vary the surface wording but keep the underlying moves — the formulaicness is the point.
-> (hyphen-greater-than), not • and not Unicode →:
-> Warum soll ich [old hard thing], wenn [new AI-easy thing]?
-> Warum [old-way], wenn [new-way]?
**bold**, no headings, no #, no * bullets. Only arrow bullets ->.references/tropes.md — catalogue of hooks, openers, credentials-flex templates, arrow-bullet patterns, corporate anecdotes, transformation one-liners, and closers. Consult this to vary wording across invocations.references/examples.md — the canonical user-provided example plus two synthetic ones (one German, one English), annotated. Use for tonal calibration, especially before the first draft.For a single invocation you don't need to load both; examples.md is the higher-value read if you're unsure about tone, tropes.md is the higher-value read if you've already drafted and need a fresh phrasing for a specific beat.
$ARGUMENTS. If no topic, WebSearch for a recent AI/tech announcement and pick one.-> not →.Every invocation should produce a post that could plausibly have been written by the same person, but on a different day about a different topic. Don't reuse exact phrases from the examples — treat them as tonal reference, not fill-in-the-blank templates.
Specifically: vary the hook phrasing, vary the corporate anecdote and its numbers, vary the transformation one-liner, vary the rhetorical-question angles in the arrow bullets. The structure is fixed; the words are not.
npx claudepluginhub moinsen-dev/rip-post-plugin --plugin rip-postCreates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.