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Skill v1.0.0
currentAutomated scan100/100techwolf-ai/ai-first-toolkit/brainstorm-linkedin
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PublishedApril 29, 2026 at 06:03 PM
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version: "1.0.0" name: brainstorm-linkedin description: 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.
Brainstorm LinkedIn Posts from Source Material
Generate LinkedIn post ideas based on external context provided by the user.
Process
- 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.
- Read the style guide:
guidelines/linkedin.mdreferences/professional-profile.md
- 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
- 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?
- 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
- 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 first 210 characters
- A clear insight that provides value
- Connection to the author's expertise areas
- Room for a personal or company angle
- Appropriate scope for the target word count
Creating Files
After user selection, get timestamp:
bash
date -u +"%Y%m%d-%H%M%S" # For slugdate -u +"%Y-%m-%dT%H:%M:%S.000Z" # For created/lastUpdated
Create file at: content/posts/linkedin-post/{slug}-{slugified-title}.yaml