linkedin-post
What I Do
Draft LinkedIn posts that apply learnings from the Tweet Lab performance tracker, adapted for LinkedIn's professional audience. This skill bridges the gap between Twitter/X learnings and LinkedIn's different engagement patterns.
The Process
1. RESEARCH -> Check Tweet Lab for what hooks/patterns work
2. CONTEXT -> Review 0 Finance messaging guidelines (avoid SEC red flags)
3. DRAFT -> Write post using winning patterns
4. ADAPT -> Adjust tone for LinkedIn (more professional, same authenticity)
5. REVIEW -> Check against compliance guidelines
Key Learnings from Tweet Performance Data
What Works (High Engagement)
| Pattern | Example | Why It Works |
More from different-ai/zero-finance
self-improve
Update skill documentation and extend OpenCode capabilities based on learnings
4ben-agent-email
Canonical Resend inbox for ben-agent@zerofinance.ai
2workspace-guide
Workspace guide to introduce OpenWork and onboard new users.
2vercel-dns
Manage DNS records for domains hosted on Vercel using the Vercel CLI
2tweet-rl-tracker
Create and manage a Notion-based tweet performance tracking system for "poor man's reinforcement learning
2skill-authoring
Create and register new OpenCode skills in this repo
2