#
ENJA

visual-spec

visual-req/visual-spec

Visual-spec is an AI-powered requirement analysis skill that transforms rough business descriptions into comprehensive visual specifications, data models, workflows, and UI prototypes.

49 12MITUpdated 2026-08-11

Overview

This skill provides a structured framework for business requirement analysis through commands like `/vspec:new`, `/vspec:interview`, `/vspec:refine`, and `/vspec:detail`. It processes unstructured user inputs, performs scenario-based facilitation, uncovers edge cases, structures stakeholder and role definitions, and generates multi-lingual technical and functional documentation, database models, and PlantUML diagrams.

Capabilities

  • Scenario-based facilitation and requirement expansion
  • Multilingual support (English, Chinese, Japanese) with automated normalization
  • Generation of PlantUML swimlane flow diagrams
  • Creation of stakeholder tables, system user roles, and core terminology
  • Automated question-and-answer tracking for requirement ambiguities
  • Detailed technical and functional specification generation including RBAC and service logic

Best for

Transforming high-level product feature requests into detailed engineering and UI specifications., Generating stakeholder maps, system user roles, and scenario-based workflow diagrams., Conducting automated requirement interviews and creating structured questionnaires., Refining existing project specifications based on user feedback or answered clarification questions.

Works with

Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
85
Task usefulness20%100 → +20.0

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%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%46 → +5.5

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%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%47 → +3.8

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 total85.0 / 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

The skill operates locally on project files within the workspace, generating markdown documentation, JSON logs, and HTML/PlantUML assets without executing arbitrary external code or handling sensitive production credentials.

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.