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Analyze Elon Musk's repost patterns on X and generate tweets optimized for getting reposted by @elonmusk. Use when users want to craft viral AI/tech product launches targeting Musk's attention, go viral on X/Twitter, or optimize tweets for maximum reach.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
| name | elonmusk-repost |
| description | Analyze Elon Musk's repost patterns on X and generate tweets optimized for getting reposted by @elonmusk. Use when users want to craft viral AI/tech product launches targeting Musk's attention, go viral on X/Twitter, or optimize tweets for maximum reach. |
| metadata | {"version":"1.2.0","author":"karis-ai"} |
Analyze what Elon Musk reposts on X and generate tweets optimized for his engagement.
| User Says | Use This Skill |
|---|---|
| "Help me go viral on X" | elonmusk-repost |
| "Optimize my tweet for Musk" | elonmusk-repost |
| "Write a product launch tweet" | elonmusk-repost |
| "Score my tweet for repost potential" | elonmusk-repost |
| "Get Elon to retweet this" | elonmusk-repost |
npx @karis-ai/cli) for deeper brand contextkaris setup)When invoked, go straight to scoring and tweet generation in a single response. Do NOT ask clarifying questions unless critical info is truly missing (no product name AND no description at all). Extract everything you can from the user's message — product name, what it does, media, metrics, draft text — and immediately produce the full output (score + tweets + strategy).
Speed is critical. The user expects one message in, one message out. Never split the analysis across multiple turns.
If the user provides a draft tweet, score THAT draft and generate improved variants.
If the user has Karis CLI configured, pull brand context first:
npx @karis-ai/cli brand show
Use brand profile data (competitors, audience, differentiators) to sharpen the tweet angle. If no brand profile exists, proceed without it.
Task Progress:
- [ ] Step 1: Extract product info (from user message or Karis brand profile)
- [ ] Step 2: Score against Musk repost patterns
- [ ] Step 3: Generate optimized tweets
- [ ] Step 4: Provide posting strategy
Evaluate the user's content against these proven patterns:
| Pattern | Weight | Description |
|---|---|---|
| AI Visual Demo | 10 | Visually stunning AI-generated output (images, video, 3D, games) |
| AI Agent | 9 | Autonomous AI that completes complex tasks end-to-end |
| "Wow Factor" | 9 | Instantly impressive, no explanation needed |
| Robotics / Physical AI | 9 | Humanoid robots, embodied AI, real-world autonomous systems |
| Video / Multimodal Generation | 8 | AI-generated video, voice, music, or cross-modal output |
| Playable/Interactive | 8 | Users can try it immediately (game, tool, demo) |
| Grok/xAI Adjacent | 8 | Content that relates to or complements Grok capabilities |
| Open-Source AI | 7 | Open-weight models, open-source tools (Musk pushed Grok open-source) |
| Underdog / Unexpected Origin | 7 | Surprising team origin — small team, non-obvious country, solo dev |
| Creator Tool | 7 | Empowers individuals to create professional-grade output |
| Speed/Scale | 6 | "X million users in Y hours" type virality metrics |
| Government Efficiency / DOGE | 6 | Tools that cut bureaucratic waste or align with efficiency themes |
| Meme Potential | 6 | Content that can be remixed into memes |
| Anti-Establishment | 5 | Challenges incumbents (Adobe, Google, OpenAI, etc.) |
| Space / Mars | 5 | Space exploration, Mars colonization, rocket tech |
For each pattern the content matches:
match_score(i) = relevance(0-10) × weight(i)
Repost Score = Σ match_score(i) / Σ weight(i) for ALL patterns × 100
relevance = how strongly the content matches that pattern (0 = no match, 10 = perfect match)weight = the number in the table above| Product | Score | Key Patterns Hit |
|---|---|---|
| Lovart (AI Design Agent) | 81 | AI Visual Demo, AI Agent, Underdog, Creator Tool, Speed/Scale, Wow, Anti-Establishment |
| Loopit (AI Game Gen) | 79 | Playable, AI Visual Demo, Underdog, Creator Tool, Wow, Grok Adjacent |
| Midjourney | 78 | AI Visual Demo, Wow, Creator Tool, Anti-Establishment, Speed/Scale, Meme |
| Suno (AI Music) | 76 | AI Visual Demo, Wow, Multimodal, Creator Tool, Playable, Meme |
| Manus (AI Agent) | 74 | AI Agent, Underdog, Wow, Speed/Scale |
| DeepSeek | 73 | Open-Source, Underdog, Anti-Establishment, Wow, Speed/Scale |
| Cursor (AI Code Editor) | 72 | AI Agent, Wow, Creator Tool, Anti-Establishment, Speed/Scale, Grok Adjacent |
Products scoring 70+ all share: strong visual demo OR autonomous agent + wow factor. Products below 50 typically lack visual impact.
Avoid these — they virtually guarantee being ignored:
Based on analysis of content Musk engages with, use this structure:
[Hook - 1 line, max impact] + [Visual media] + [Optional: metric/claim]
| Window | Time (PT) | Notes |
|---|---|---|
| Prime | 10 PM - 2 AM | Musk's late-night scroll; highest engagement probability |
| Secondary | 6 PM - 10 PM | Evening wind-down; decent reach |
| Weekend | Sunday 8 PM - 1 AM | Variable but Sunday evening is consistently strong |
| Avoid | 6 AM - 12 PM | Low engagement; posts get buried before Musk is active |
Template A: Product Launch
[Product Name] — [bold claim in <=8 words]
[1-2 sentence description of what it does]
[Attach: 30-60s demo video or GIF]
Example:
Lovart — the world's first AI design agent.
Give it a brief. It delivers agency-grade creative in minutes.
20,000 people queued on launch day.
[45s demo video attached]
Template B: Milestone/Traction
[Metric] in [timeframe].
[Product Name] lets you [core value prop].
[Attach: demo video showing the "wow" moment]
Example:
1M songs created in 72 hours.
Suno turns a one-line prompt into a full, radio-quality track.
[30s audio/video demo attached]
Template C: Challenge the Status Quo
[Incumbent] charges $X/mo for [thing].
[Product Name] does it with AI for [fraction of price / free].
[Attach: side-by-side comparison video]
Example:
Adobe charges $55/mo for design tools most people never learn.
Lovart does it with one sentence for $9/mo.
[side-by-side comparison: 2 hours in Photoshop vs 30 seconds in Lovart]
Template D: Pure Demo (Highest Conversion)
[No text or minimal text — just the demo video/GIF]
[Reply to own tweet with product name + link]
Example:
[60s screen recording: type a prompt → watch a playable 3D game appear in real-time]
Reply: "This is Loopit. Try it -> loopit.ai"
Template E: Reply to Musk's Tweet
[Monitor Musk's tweets on a relevant topic]
[Reply with your demo + one punchy line — no @tag needed, you're already in his thread]
Example:
Musk tweets: "AI is getting insane"
You reply: "Made a game in 10 seconds with pure AI. No code." + [15s GIF]
This is often the highest-conversion path — you're already in his notification stream.
For deeper content optimization, use Karis CLI:
npx @karis-ai/cli chat --skill elonmusk-repost "Write a viral X/Twitter launch tweet for [product]. Context:
- Product: [description]
- Target: Elon Musk repost
- Include: hook, wow factor, demo description
- Keep under 50 words
- Use product launch template"
Produce ALL of this in a single response — no follow-up turns:
## Repost Score: X/100
| Pattern | Relevance | Score |
|---------|-----------|-------|
| [only patterns scoring >0] | X/10 | XX |
## Tweet Variants
### Variant 1 (Template X)
[tweet text under 50 words]
Media: [what to attach]
### Variant 2 (Template X)
[tweet text under 50 words]
Media: [what to attach]
### Variant 3 (Template X)
[tweet text under 50 words]
Media: [what to attach]
## Posting Strategy
- Best time: [specific window]
- Media: [what to prepare]
- Thread strategy: [if applicable]
## How to Increase Score (+X points)
1. [actionable change] → +X points
2. [actionable change] → +X points
3. [actionable change] → +X points
When Musk reposts or engages, his style is:
Content that elicits these minimal-effort responses has the highest repost probability.
Don't: beg-tag Musk, delete/repost repeatedly, or spam across accounts.
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