The linkedin-announcement-generator skill creates professional LinkedIn announcement text for intelligent textbooks by analyzing book metrics, chapter content, and learning resources to produce engaging posts with statistics and hashtags.
Installs into .claude/skills of the current project.
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# LinkedIn Announcement Generator
The linkedin-announcement-generator skill creates professional LinkedIn announcement
text for intelligent textbooks by analyzing book metrics, chapter content, and
learning resources to produce engaging posts with statistics and hashtags.
## Key Capabilities
This skill generates announcement text that includes:
- **Key Statistics**: Chapter count, concept count, word count
- **Educational Features**: MicroSims, quizzes, glossary terms
- **Relevant Hashtags**: #EdTech, #OpenEducation, etc.
- **Links**: Direct link to the published GitHub Pages site
## When to Use
Use this skill when:
- Publishing a completed intelligent textbook to GitHub Pages
- Announcing major milestones (e.g., "First 10 chapters complete!")
- Promoting updated or newly added content
- Sharing with the educational technology community
- Preparing posts for course launches
- Creating announcements for conference presentations
- Building awareness for open educational resources
## Prerequisites
The intelligent textbook project should have:
- A `docs/learning-graph/book-metrics.md` file with statistics
- A `mkdocs.yml` file with site_name, site_url, and description
- Deployed site on GitHub Pages (or other hosting)
- Optional: `docs/course-description.md` for audience info
## Output Format
The generated announcement follows LinkedIn best practices:
1. Attention-grabbing opening line
2. Key statistics highlighting scope and depth
3. Bullet points of educational features
4. Call to action with link to site
5. Relevant hashtags for discoverability
## Example Output
```
Excited to announce the release of "Introduction to Graph Algorithms"!
This intelligent textbook features:
- 15 chapters covering fundamental to advanced topics
- 200+ concepts with dependency mapping
- 45 interactive MicroSims
- Comprehensive glossary with 150 terms
Explore the free online textbook: https://example.github.io/graph-course
#EdTech #OpenEducation #ComputerScience #GraphAlgorithms
```
## Integration
This skill is typically used at project milestones or publication events.
It reads from existing metrics files generated by the book-metrics-generator skill.
