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- Linkedin Announcement Generator
linkedin-announcement-generator_skill
- Python
14
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill dmccreary/claude-skills --skill linkedin-announcement-generator- SKILL.md17.1 KB
Overview
This skill generates professional LinkedIn announcement text for intelligent textbooks by analyzing book metrics, chapter content, and learning resources. It produces three copy-ready post variations (full, medium, concise) that include key statistics, suggested hashtags, and a clear call to action linking to the published site.
How this skill works
The skill reads project metadata (site_name, site_url, site_description) and parses docs/learning-graph/book-metrics.md to extract chapter counts, concepts, quizzes, MicroSims, word count, and other core metrics. It assesses completeness using configurable thresholds and then composes LinkedIn-ready copy with an opening hook, content description, metric highlights, AI/technology disclosure, CTA, and optimized hashtags. Missing metrics are handled gracefully and phrasing adapts to status (Complete, Nearly Complete, In Progress, Early Release).
When to use it
- Publishing a completed intelligent textbook to a live site (GitHub Pages or similar).
- Announcing major milestones (first 5–10 chapters, milestone word counts).
- Promoting updated chapters, new interactive simulations, or added assessments.
- Preparing social posts for course launches, workshops, or conference talks.
- Sharing the resource with educators, instructional designers, and learning technologists.
Best practices
- Keep posts professional and concise; use first person and short paragraphs.
- Front-load the most important info, then list key metrics with emoji bullets (1–3 emojis max).
- Include the live site URL and 10–15 relevant hashtags for discoverability.
- Be transparent about AI/technology used and invite collaboration or feedback.
- Add a screenshot of the learning graph or homepage for higher engagement.
Example use cases
- Initial launch: full-length announcement with complete metrics and all hashtags.
- Progress update: medium-length post after reaching a chapters or quizzes milestone.
- Quick share: concise post for cross-posting or linking from a newsletter.
- Conference promotion: use medium version with CTA to slides and repo for contributors.
FAQ
It needs mkdocs.yml (site_name, site_url, site_description) and docs/learning-graph/book-metrics.md. Optional inputs: chapter-metrics.md and course-description.md.
How does it handle missing metrics like MicroSims or quizzes?
Missing or zero metrics are handled gracefully: mentions shift to broader strengths (e.g., 'comprehensive content' or 'includes visual elements') and those specific lines are omitted if not applicable.
Can I customize tone and hashtag selection?
Yes. The skill produces three standard variations and supports adjustments for tone (formal, casual) and domain-specific hashtags.