#7dayAISChallenge - Day 3 Linkedln Skill
To be totally honest, I used to look at LinkedIn with completely different eyes. I found most posts pretty corny and soppy, so I never really bothered to post there.
But once I started my AI automation journey, I realized LinkedIn is a huge asset when you're starting an agency, so this challenge felt like exactly the push I needed as I had been procrastinating on that front!
So I took the chance to build /linkedin-post.
What it does:
Drafts AI-focused LinkedIn posts in my voice, between 150 and 300 words, in first person, with no employer references.
· Shows me 3 alternate hooks to swap in.
· Publishes through the Blotato MCP only after I explicitly say "post it".
· Logs every publish date and warns me if I try to post twice within the same 7-day window, because I want to keep a once-per-week cadence.
How I trigger it: Natural language only.
· User-invocable: false in the frontmatter, so there is no /linkedin-post slash command.
· Phrases like "draft a LinkedIn post about what I learned with Claude this week" or "write a reflection on this AI tool" pull it in through the description match.
One optimization after watching it run:
· My first drafts sounded like every other AI thought leader on LinkedIn, full of words like "unlock," "leverage," "game-changer," "delve into," and "transformative."
· The skill was technically working, but the output didn't sound like me.
· So I added an explicit banned-words list to the voice rules: game-changer, dive in, leverage, unlock, revolutionize, groundbreaking, delve, elevate, foster, seamless, transformative.
· That one edit killed the generic AI-influencer tone, and the drafts started reading like me, not a press release.
The lesson: telling the model what not to do can be more effective than telling it what to do, especially when you're fighting overlearned patterns from training data.
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4 comments
Jeffery Gyamerah
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#7dayAISChallenge - Day 3 Linkedln Skill
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