ReddRadar
Topic: llm-orchestration
95 skills in this topic.
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recipe-discover
Orchestrate Opportunity discovery and hypothesis generation through business and user perspectives
shinpr/claude-code-discover 1
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recipe-define
Orchestrate PRD creation from validated hypotheses — standard PRD output with 4 Risks confidence and hypothesis traceability
shinpr/claude-code-discover 1
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recipe-validate
Orchestrate hypothesis validation through type-appropriate methods — prototypes, code analysis, market research, and expert review
shinpr/claude-code-discover 1
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recipe-reflect
Orchestrate structured reflection — update target artifacts with learnings, distill knowledge across hypotheses, and maintain INDEX.md
shinpr/claude-code-discover 1
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business-context
Provides Business Model Canvas, Value Proposition Canvas, and TAM/SAM/SOM market analysis frameworks. Use when assessing Viability risk, sizing markets, mapping value propositions, conducting competitive analysis, or identifying market gaps.
shinpr/claude-code-discover 1
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design-perspective
Integrates design principles, WCAG 2.2 AA accessibility, persona context, and state design into product decisions. Use when reviewing UX decisions, checking accessibility, applying design principles, or ensuring state coverage in acceptance criteria.
shinpr/claude-code-discover 1
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hypothesis-discipline
Manages hypothesis lifecycle, enforces validation criteria, time budgets, and confidence scoring rules. Use when creating hypotheses, updating confidence scores, setting validation criteria, handling timeouts, or recording validation results.
shinpr/claude-code-discover 1
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recipe-vision
Define or update product vision, strategy, outcomes, and NSM
shinpr/claude-code-discover 1
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prototype-guide
Generates self-contained HTML prototypes with design context from project files. Read design principles, personas, and hypothesis files, then produce a working prototype for Usability and Value risk validation. Use when creating prototypes or validating through tangible artifacts.
shinpr/claude-code-discover 1
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product-principles
Defines 4 Risks confidence thresholds, OST hierarchy levels, Knowledge Pyramid tiers, and state design requirements. Use when evaluating user stories, setting confidence scores, referencing OST levels, scoping MVP, or determining validation sufficiency.
shinpr/claude-code-discover 1
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blueprint-standards
Defines structural design artifact formats — information architecture, user flows, content model, brand direction, and AI interaction model. Use when creating or reviewing structural design documents that precede prototype generation.
shinpr/claude-code-discover 1
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recipe-blueprint
Define structural design foundation — information architecture, user flows, content model, brand direction, and AI interaction model — from validated opportunities and hypotheses
shinpr/claude-code-discover 1
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recipe-persona
Create or update personas with demographic, contextual, JTBD, and behavioral data
shinpr/claude-code-discover 1
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recipe-refine-visuals
Optional side-workflow for design experts to refine auto-derived Visual Tokens in brand-direction.md with professional judgment
shinpr/claude-code-discover 1
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prd-standards
Defines PRD structure, user story format with 4 Risks assessment, EARS-format acceptance criteria, and delivery readiness thresholds. Use when writing PRDs, drafting user stories, defining acceptance criteria, or reviewing PRD quality and completeness.
shinpr/claude-code-discover 1
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coding-standards
コードの品質問題、アンチパターン、可読性を検査。機能実装、コードレビュー、リファクタリング時に使用。
shinpr/ai-coding-project-boilerplate 195
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frontend-typescript-testing
Designs tests with React Testing Library, MSW, and Playwright E2E. Applies component testing and E2E testing patterns.
shinpr/ai-coding-project-boilerplate 195
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skill-optimization
スキルファイルの品質を8つのコンテンツパターンと9つの編集原則で評価・最適化。スキル作成、内容改善、品質監査時に使用。
shinpr/ai-coding-project-boilerplate 195
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integration-e2e-testing
統合テストとE2Eテストを設計。モック境界と振る舞い検証ルールを適用。E2Eテスト、統合テスト作成時に使用。
shinpr/ai-coding-project-boilerplate 195
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project-context
AIの実行精度に必要なプロジェクト固有の前提情報を提供。プロジェクト構成確認時に使用。
shinpr/ai-coding-project-boilerplate 195
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project-context
Provides project-specific prerequisites for AI execution accuracy. Use when checking project structure.
shinpr/ai-coding-project-boilerplate 195
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typescript-testing
Applies Vitest test design and quality standards. Provides coverage requirements and mock usage guides. Use when writing unit tests.
shinpr/ai-coding-project-boilerplate 195
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typescript-rules
Applies type safety and error handling rules. Enforces no-any policy and type guards. Use when implementing TypeScript or reviewing types.
shinpr/ai-coding-project-boilerplate 195
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integration-e2e-testing
Designs integration and E2E tests with mock boundaries and behavior verification rules. Use when writing E2E or integration tests.
shinpr/ai-coding-project-boilerplate 195