#
ENJA

ui

hotosm/ui

AI coding agent operational guidance and architecture specification for the hotosm/ui shared web components repository.

10 3AGPL-3.0Updated 2026-08-03

Overview

This skill configuration defines the operating guidelines, workflow contracts, testing standards, and security boundaries for AI coding agents contributing to the hotosm/ui repository. It standardizes how agents interact with Lit-based web components, Storybook configurations, and Vite/Vitest test suites while maintaining strict package API compatibility and adhering to project-specific styling and dependency policies.

Capabilities

  • Lit web component authoring
  • Automated testing with Vitest and Playwright
  • Storybook component documentation management
  • Package build and publishing management
  • Consistent styling implementation using WebAwesome primitives and HOT themes

Best for

Developing and maintaining reusable Lit web components for HOTOSM tools, Running automated tests and building packages using pnpm, Vitest, and Playwright, Managing Storybook documentation and preview deployments, Ensuring backwards-compatible styling and design token integration with WebAwesome

Works with

Claude CodeCursorGitHub CopilotCodexOpenCode
Evoa Score breakdown= Σ (score × weight)
81
Task usefulness20%88 → +17.6

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%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

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%30 → +3.6

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%100 → +15.0

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%85 → +8.5

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%31 → +2.5

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 total80.7 / 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

Agents are explicitly instructed never to commit credentials, tokens, or private environment values, and to avoid introducing remote network dependencies into tests without necessity.

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.