article-poster-generator
tengj/article-poster-generator
Automatically transforms long articles into multi-slide vertical infographic posters with diverse style templates and layouts using Python and Playwright.
23 3MITUpdated 2026-04-15
71
GoodOverview
This skill acts as an automated poster generation engine that breaks down articles into 5 to 8 vertical infographic slides (2400x3600 resolution). It maps structured JSON data onto 5 distinct visual themes and 6 page layouts such as covers, step flows, grids, and quotes, while generating cross-platform publication copy.
Capabilities
- ▸Article structuring and information extraction using pyramid and MECE principles
- ▸JSON generation for 6 distinct slide layout types
- ▸HTML template rendering to high-resolution PNG images via Playwright
- ▸Multi-platform publication copy generation
Best for
Transforming long-form blog posts or articles into shareable card-style infographics, Generating visual summaries and step-by-step guides for technical tutorials, Creating multi-platform social media posts with matching graphic assets
Works with
Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
71Task usefulness20%77 → +15.4
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%85 → +12.8
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%70 → +10.5
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%34 → +4.1
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%80 → +12.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%80 → +8.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%37 → +3.0
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total70.7 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Executes local Python scripts and headless browser rendering via Playwright, which requires trusted input content.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.