brainstorm-linkedin

Solid

Generate LinkedIn post ideas from external sources (files, URLs, research). Use when the user provides source material (PDFs, URLs, articles) to brainstorm topics. NOT for writing or developing drafts - use write-linkedin-post instead.

AI & Automation 106 stars 5 forks Updated 4 days ago MIT

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Quality Score: 84/100

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Description 5%
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Skill Content

# Brainstorm LinkedIn Posts from Source Material Generate LinkedIn post ideas based on external context provided by the user. ## Process 1. **Read ALL published posts** (MANDATORY - to avoid topic/angle overlap): ```bash ./scripts/print-published.sh linkedin-post ``` This prints all published posts with full content in one call. Note: - Core insights already covered - Data points already used - Angles already explored **Do not suggest ideas that repeat existing coverage.** 2. **Read the style guide**: - `guidelines/linkedin.md` - `references/professional-profile.md` 3. **Process the provided context** (user will provide one or more of): - Files (PDFs, documents, research papers) - URLs (articles, blog posts, announcements) - Raw text or ideas 4. **Identify 2-4 promising angles** by considering: - What's the unique insight for a professional audience? - How does this connect to the author's expertise? - What's the hook that works in the first 210 characters? - Is there a personal angle or company connection? 5. **Present ideas** with for each: - Proposed title - Core insight (1 sentence) - Hook approach (personal anecdote, company experience, surprising outcome, or news) - Why it fits the author's voice 6. **Ask user to choose**: - Which idea(s) to develop - Whether to create as idea (01-ideas) or draft (02-drafts) ## Evaluation Criteria Strong LinkedIn post ideas have: - A concrete hook in the fir...

Details

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

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