write-linkedin-post

Solid

Write or develop a LinkedIn post. Use ALWAYS for LinkedIn content - writing, drafting, developing ideas into drafts, or editing.

Code & Development 106 stars 5 forks Updated 4 days ago MIT

Install

View on GitHub

Quality Score: 87/100

Stars 20%
68
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Write LinkedIn Post You are helping write a LinkedIn post for the author. ## Before Writing (MANDATORY) **You MUST complete these steps before writing ANY content:** 1. Run `./scripts/print-published.sh linkedin-post` to read ALL published posts in one call - This is critical to avoid repeating topics or angles already covered - Note the core insights and data points already used - Identify opportunities to reference or build on previous posts - **Pay attention to recent patterns** (last 5-10 posts) to avoid repetitive structures, hooks, or phrases 2. Read `guidelines/linkedin.md` for style rules 3. Read `references/professional-profile.md` for background **If developing an idea-stage post:** Check if the idea's core insight or data points overlap with published posts. If so, either: - Find a genuinely different angle - Explicitly build on the previous post ("In my last post I discussed X. Here's the flip side...") - Recommend against developing the idea ## Avoid Repetitive Patterns When reading recent posts, actively note and vary: **Hooks:** If recent posts start with similar patterns, try a different structure **Sentence patterns:** Vary rhythm - don't always use short punchy sentences or always use longer flowing ones **Closing lines:** Don't repeat formulas **Transition phrases:** Rotate between "Here's what...", "The pattern...", "This matters because...", etc. **Structure:** If recent posts all use problem-solution-takeaway, try a different arc T...

Details

Author
techwolf-ai
Repository
techwolf-ai/ai-first-toolkit
Created
7 months ago
Last Updated
4 days ago
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category