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):
```
./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.md
- references/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:

date -u +"%Y%m%d-%H%M%S"  # For slug
date -u +"%Y-%m-%dT%H:%M:%S.000Z"  # For created/lastUpdated

Create file at: content/posts/linkedin-post/{slug}-{slugified-title}.yaml

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):

./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.md
references/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:

date -u +"%Y%m%d-%H%M%S" # For slug date -u +"%Y-%m-%dT%H:%M:%S.000Z" # For created/lastUpdated

Create file at: content/posts/linkedin-post/{slug}-{slugified-title}.yaml

brainstorm-linkedin