greedy-selection-algorithm
Use when building selection algorithms that must balance multiple diversity/coverage constraints (e.g., selecting test cases, sampling datasets, portfolio optimization). Especially useful when hard co...
Use when building selection algorithms that must balance multiple diversity/coverage constraints (e.g., selecting test cases, sampling datasets, portfolio optimization). Especially useful when hard co...
Analyzes multi-contract correlations and generates hedge recommendations. Use when managing a portfolio of correlated assets and needing to mitigate risk. Trigger with "analyze correlations", "suggest hedge", "portfolio risk assessment".
Validates specification completeness and quality by checking for mandatory sections, [NEEDS CLARIFICATION] markers, testable criteria, and clear scope boundaries. Ensures specifications are ready for architecture and implementation phases.
Use when working with capacitor similarity calculations - comparing ceramic/electrolytic/film capacitor MPNs, understanding value/voltage/dielectric matching, or capacitor-specific similarity logic.
Blazor VSA パターンカタログからの適切なパターン選択支援。新機能追加、 CRUD 操作、クエリ実装、状態遷移、バウンダリー設計などの文脈で、 catalog/index.json の ai_decision_matrix に基づいて最適なパターンを 提案する。Feature Slice、Pipeline Behavior、Domain Pattern、 Query Pattern などから文脈に応じたパターンを選択。
Guided pattern and bug creation with interactive prompts and automatic quality validation. Helps users create high-quality KB entries with proper structure, scoring, and categorization. Provides improvement suggestions for entries below quality thresholds.
Generate standardized checkpoint reports for multi-phase implementation projects. This skill should be used when pausing implementation at strategic milestones (phase completion, user story completion, critical features) to create comprehensive progress reports with task breakdowns, metrics, knowledge base entries, and resume instructions.
A clear, concise description of what this skill does and when to use it. Include practical triggers and use cases here (not in the body).
Perform mathematical calculations using various operations
Use when working with sensor similarity calculations - comparing temperature/accelerometer/humidity sensor MPNs, understanding sensor families, equivalent parts, or sensor-specific similarity logic.
Review and improve skill quality. Use when: user asks to review skill, check skill quality, improve skill, or after creating a skill with skill-creator-pro.
Interactive Knowledge Base search with natural language queries. Searches patterns and bug fixes with relevance ranking, quality scoring, and fuzzy matching for typo tolerance. Helps users find solutions quickly without manual browsing through institutional knowledge.
GigaDevice Semiconductor MPN encoding patterns, suffix decoding, and handler guidance. Use when working with GigaDevice Flash memory, MCUs, or GigaDeviceHandler.
Scout Mode specialist - handles opportunity discovery, filtering, dataset curation, and playlist/blog/radio discovery for artists.
Vertical Slice Architecture (VSA) 向け UI 強化スキル。 Phase 1(spec-kit + カタログ)で生成されたプレーンな .razor ファイルを、 Phase 2 で MudBlazor ベースのリッチな UI に変換する。 アーキテクチャには一切手を触れず、UI だけを強化する。
Use when creating new skills, improving existing skills, or when a complex repeatable task emerges that lacks documented expertise. Triggers: "create a skill", "we should document this", "make this reusable", working on complex domain-specific tasks without existing skill coverage (Django ORM, Kubernetes, API design, etc.)
Blazor VSA における Boundary パターンのモデリング支援。UI を持つ機能で Entity.CanXxx() メソッドの設計、Intent 定義、BoundaryService の責務分離を 支援する。AI の学習バイアス(古典 DDD は UI を対象外とする)により 忘却されやすい Boundary モデリングを自動的に想起させ、操作可否判定の 業務ロジックを Entity に正しく配置する設計を促す。