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/linkedin-carousel-generator

@ac26066

Generates a 13-slide LinkedIn carousel (a "document post" — PPTX/PDF) that showcases an intelligent textbook's key features, with real screenshots, mascot art, and metrics pulled from the project. Use when the user wants a LinkedIn slideshow/carousel/document post for a textbook, as opposed to linkedin-announcement-generator which produces post *text* only.

Use this Skill: https://skilld.dev/gh/dmccreary/claude-skills/linkedin-carousel-generator

This session only. Nothing lands on disk.

referencescontent-sourcing.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Content Sourcing Map

Exactly where each of the 12 slides' text and images come from. When in doubt, pull from the canonical file listed here rather than re-deriving a number by hand — this keeps the carousel consistent with linkedin-announcement-generator and readme-generator, which read the same sources.

# Slide Text source Field(s) / section Image source
1 Cover mkdocs.yml site_name, site_description docs/img/cover.png (optional) + mascot welcome.png
2 Why This Book docs/about.md "Why This Intelligent Textbook" section — condense to 2-3 sentences, don't paste the whole section mascot welcome.png or thinking.png
3 Learning Graph docs/learning-graph/book-metrics.json + docs/learning-graph/index.md metrics.concepts, taxonomy category count and edge count (from the index.md prose, since these aren't always in book-metrics.json) Cropped docs/sims/graph-viewer/*.png screenshot
4 Coverage Summary mkdocs.yml nav + book-metrics.json metrics.chapters, metrics.concepts; hand-pick 4-6 chapter titles from the nav that best represent breadth (intro, a signature mid-book topic, an advanced topic) none (big-numbers pattern)
5 Engagement Strategy CLAUDE.md / CONTENT-GENERATION-GUIDELINES.md The project's hands-on interaction loop (e.g. "Read → Run → Modify" for Skulpt-based books) — describe the project's actual mechanism, don't assume every project uses Skulpt none (icon-row pattern)
6 Mascot Summary docs/img/mascot/character-sheet.md The "Pose Set" table — use every pose that exists in the project's docs/img/mascot/ directory (commonly 6-7: welcome, thinking, tip, warning, encouraging, celebration, and optionally neutral) Each pose's PNG
7 MicroSim Count docs/learning-graph/book-metrics.json metrics.microsims Screenshot of the user-confirmed flagship MicroSim
8 Supplementary Content docs/learning-graph/book-metrics.json metrics.glossaryTerms, metrics.faqs, metrics.quizQuestions, metrics.references (or metrics.chapterReferences if per-chapter references aren't aggregated) none (icon-row pattern)
9 License docs/license.md License type and short rights summary (share/adapt/attribution terms) docs/img/license.png
10 Adaptivity Project's own skill usage (course-description → learning-graph-generator → chapter-content-generator pipeline) Describe the pipeline conceptually — name the actual skills used if this project used them Simple 3-4 box pipeline diagram, or omit image and use icon-row
11 Continuous Enrichment No canonical file — this is a forward-looking capability statement Phrase as "can be configured to..." not as a description of an already-running system, unless the project genuinely has this (e.g. register-book-analytics wired up + a documented A/B process) none, or a simple feedback-loop icon
12 Summary of Benefits Everything above — the single strongest fact from each of slides 2-11, condensed to a few words Re-read slides 2-11 after drafting them and pull the one number/claim from each that would make someone stop scrolling; 5-6 lines total, never one line per slide none — checklist pattern
13 Closing CTA mkdocs.yml site_url, repo_url mascot celebration.png

Extraction one-liners

# mkdocs.yml site metadata + theme palette
python3 - <<'PY'
import yaml
d = yaml.safe_load(open("mkdocs.yml"))
print("site_name:", d.get("site_name"))
print("site_description:", d.get("site_description"))
print("site_url:", d.get("site_url"))
print("repo_url:", d.get("repo_url"))
print("primary:", d.get("theme", {}).get("palette", {}).get("primary"))
print("accent:", d.get("theme", {}).get("palette", {}).get("accent"))
PY

# canonical book metrics
python3 - <<'PY'
import json
m = json.load(open("docs/learning-graph/book-metrics.json"))["metrics"]
print(json.dumps(m, indent=2))
PY

Handling missing content gracefully

  • No docs/img/cover.png → skip the cover image, lean on the title/subtitle typography instead
  • No taxonomy color-config.json → skip the color legend on slide 3, keep the concept/edge counts
  • Fewer than 6 mascot poses → show only the poses that exist; never invent a pose or role
  • metrics.diagrams or metrics.equations is 0 → omit that stat from slide 8 rather than displaying "0"
  • No flagship MicroSim confirmed by the user → default to the one with the most visually distinctive output (turtle-graphics drawing, chart, network diagram) over a plain form

Source: SKILL.md on GitHub

No alerts2mo3 checks · Risk SAFE
  • Gen Agent Trust Hub2mo

    This skill automates the creation of LinkedIn carousel presentations by extracting content from a local textbook project. It uses standard libraries and local scripts to capture screenshots and generate the final slide deck.

  • Socket2mo

    No alerts

  • Snyk2mo

    Risk: LOW · No issues

Signed by skilld at ac26066. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated 3 months ago
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