korea100studio
hosungseo/korea100studio
Transforms raw natural language process descriptions or data tables into vertical swimlane process boards in SVG and animated formats, complete with built-in quality auditing.
Overview
korea100studio is an agent skill that enables AI assistants to map workflows, approval chains, and multi-actor procedures into structured JSON and render them as professional vertical swimlane diagrams. Using a dedicated CLI, it supports schema validation, layout quality auditing, PNG rasterization, and SMIL-based stage-reveal animations across multiple visual profiles.
Capabilities
- ▸Parse natural language, tables, or unstructured notes into structured swimlane board JSON
- ▸Render high-quality SVG and optional PNG swimlane process boards
- ▸Perform automated composition quality audits (node piercings, line crossings, bends)
- ▸Generate self-contained stage-ordered animated SVGs using SMIL
- ▸Support multiple visual profiles including neutral default and Korean government styling
Best for
Visualizing complex multi-departmental business workflows from policy documents, Generating Korean administrative or legal procedure diagrams with statutory citations, Creating animated step-by-step process reveal graphics for presentations, Auditing process graph readability and catching edge routing overlaps programmatically
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
The skill runs standard Node.js scripts locally within the agent environment. Optional rasterization relies on system binaries if PNG output is requested.
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.