Install
openclaw skills install @phy041/phy-linkedin-gtmLinkedIn go-to-market strategy for founders and product builders. Use when planning LinkedIn content, targeting DTC brand operators, B2B decision makers, or investors. Triggers on "LinkedIn strategy", "LinkedIn for founders", "investor outreach on LinkedIn", "B2B content", "professional networking", or any LinkedIn marketing planning.
openclaw skills install @phy041/phy-linkedin-gtmFounder-led professional brand strategy targeting DTC operators and investors with authentic, non-corporate voice that stands out.
Every time creating LinkedIn content, follow this workflow:
Required Actions:
Search Examples:
LinkedIn [topic] viral post
LinkedIn founder [topic] high engagement
site:linkedin.com [topic] lessons learned
| Dimension | What to Extract |
|---|---|
| Hook Formula | First line structure that stops scroll |
| Story Arc | How they build tension and payoff |
| Number Usage | Specific metrics that add credibility |
| CTA Design | How they drive comments |
| Format Choice | Text vs carousel vs other |
Brand Voice:
Adaptation Rules:
Deliverables Checklist:
Voice: Authentic + sharp — substantive expertise without corporate polish Audiences: DTC brand operators, B2B decision makers, investors/VCs Differentiation: Real builder insights, anti-"LinkedIn bro" positioning
| Format | Reach Multiplier | Notes |
|---|---|---|
| Polls | 1.64x | Use sparingly |
| Document/Carousels | 1.45x | Optimal: 12 slides, 25-50 words/slide |
| Native Video | 1.10x | Growing 6x QoQ |
| Text-Only | 1.17x | Declining |
| Element | Spec |
|---|---|
| Frequency | 3-4x/week |
| Best times | 8-11 AM, Tue-Thu |
| Never | Post twice in 24 hours (2nd gets killed) |
| Never | 3 consecutive carousels (35% reach drop) |
| Never | External links in main post (25-40% reach penalty) |
Use:
Avoid (LinkedIn Bro Trap):
| Format | Use Case | Engagement |
|---|---|---|
| Carousel | Money/time comparisons, lessons learned | 1.45x reach |
| Long-form text | Personal stories, reflections | High comments |
| Lists | Tips, checklists, observations | High saves |
Pre-Event (1-2 weeks before):
During Event (daily/every other day):
Post-Event (1 week after):
Experience Hook: "Second time at CES. Last year I made every rookie mistake..."
Money Hook: "I wasted $1,400 at my first CES. Here's how..."
Contrarian: "Everyone's excited about X at CES. Here's what they're missing..."
Lesson Hook: "The biggest lesson from CES wasn't about technology..."
User Input:
"帮我写一篇关于 CES 准备的 LinkedIn 帖子"
Expected Output:
Second time at CES. Last year I made every rookie mistake.
Here's what I'm doing differently:
1. Booked hotel in September ($180/night vs $400+ in December)
2. Pre-scheduled 12 meetings through Brella (90% of meetings are booked before the event)
3. Prepared offline demo (WiFi at the venue? Don't count on it)
4. Packed comfortable shoes (15,000+ steps per day is real)
5. Blocked 2 hours post-event daily for follow-up (response rates drop 50% after 72 hours)
The biggest shift in mindset:
CES isn't about collecting business cards.
It's about having conversations worth following up on.
What's your CES prep ritual?
---
Format: Text post ✓
Lines: 20 (spaced for readability) ✓
Specific numbers: $180, 12 meetings, 90%, 15,000 steps, 50%, 72 hours ✓
CTA: Question at end ✓
Hashtags: #CES2026 #FounderLife #BuildInPublic
Post time: 9:00 AM EST Tuesday
Self-comment (post 10 min later):
The thing nobody tells you: the best meetings happen at the unofficial dinners, not on the show floor.
If you're going to CES, DM me — happy to share my list of side events worth attending.
User Input:
"帮我做一个关于 AI brand creative 的 carousel"
Expected Output:
Carousel: 12 slides
Slide 1 (Cover):
"Why most AI creative tools fail at branding"
(And what to do instead)
Slide 2:
The promise: "Generate unlimited content"
The reality: Everything looks the same
Slide 3:
I tested 15 AI tools for brand creative.
Here's what I found:
Slide 4:
Problem #1: No brand memory
Every generation starts from zero.
Slide 5:
Problem #2: Style drift
Generation 1 and generation 100 look nothing alike.
Slide 6:
Problem #3: Generic defaults
Tools optimize for "good" not "on-brand"
Slide 7:
The missing piece:
[Your brand technology]
Slide 8:
What is it?
Mathematical modeling of visual style —
the same way humans remember "what our brand looks like"
Slide 9:
Results after implementing:
• 10 hours saved/week
• 90% first-pass approval rate
• Zero "make it more on-brand" feedback loops
Slide 10:
The shift happening:
AI that generates content
→ AI that generates YOUR content
Slide 11:
Building this at [Your Company].
DM "STYLE" for early access.
Slide 12:
Follow for more on AI + brand
(No LinkedIn bro energy, promise)
---
Slides: 12 ✓
Words per slide: 15-40 ✓
Visual notes: Brand accent color, clean typography, one idea per slide
User Input:
"我们刚拿到了一个大客户,帮我写个帖子"
Response Pattern:
Example Output:
We just signed our first Fortune 500 client.
But here's what I'm actually proud of:
It took 47 cold emails to get the first meeting.
6 months of follow-up to close.
3 failed pilots before we got the formula right.
What finally worked?
We stopped selling "AI for creative" and started solving "why does every review cycle take 3 rounds?"
The lesson:
Customers don't buy technology.
They buy fewer headaches.
---
No "thrilled to announce" ✓
Includes real numbers: 47 emails, 6 months, 3 pilots ✓
Ends with insight, not pitch ✓
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