moonshine
enjalot/moonshine
Helps users craft interactive, web-based technical explanations inspired by Distill.pub, transforming complex ideas into visual and explorable articles.
Overview
Moonshine is an interactive explanatory authoring skill that guides users through a structured, conversational process—from initial story discovery and structural outlining to iterative building on either a single-file (shine) or Vite/React (still) substrate. It emphasizes prose-driven narratives with embedded interactive figures while rigorously avoiding dashboard UI patterns, implementation code, and performative prose.
Capabilities
- ▸Interactive article scaffolding for web publishing
- ▸Story discovery and audience dependency mapping
- ▸Substrate selection between single-file HTML (shine) and Vite+React (still)
- ▸Editorial tone enforcement and anti-slop review passes
- ▸Step-by-step section building and browser-based verification
Best for
Creating interactive technical explainer articles for complex concepts, Translating dense research papers or machine learning mechanics into visual, explorable guides, Designing step-by-step educational series with embedded D3 or React visualizations
Works with
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
実装・指示の品質。 — AIによるSKILL.md/README解析
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
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
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
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
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
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
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
Operates locally to scaffold project files and templates; standard development environment security practices apply.
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.