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Reviews existing UI components for design-system consistency, states, responsiveness and accessibility using consumer-owned context. Use when asked to review component quality, check design-system adherence or audit component consistency.
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新しいプロジェクトまたは既存リポジトリに Claude 用の kickoff 文脈を導入するスキル。 テンプレートとリポジトリ証跡、ユーザー入力をもとに `CLAUDE.md`、`docs/PROJECT_BRIEF.md`、 `docs/SKILL_ROUTING.md`、`docs/QUALITY_GATES.md`、`docs/TEST_STRATEGY.md`、 `docs/DECISION_LOG.md`、`docs/HIDDEN_CONTRACT_REGISTER.md`、 `docs/CROSS_MODULE_CONSISTENCY_MATRIX.md`、`.claude/rules/*`、 `.claude/commands/project-kickoff.md` を必要に応じて作成・更新する。 Use when starting a new project, retrofitting AI project context into an existing repository, bootstrapping Claude memory, or standardizing kickoff documents, rules, and slash-command scaffolding. Distinct from project-manager / project-plan-creator (which plan work), and from completion-quality-gate-designer / hidden-contract-investigator / safe-by-default-architect / cross-module-consistency-auditor / production-parity-test-designer (which deeply refine individual artifacts after bootstrap).
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Define product photography standards for e-commerce — shot types, composition, lighting, consistency rules, AI-assisted generation, and platform-specific variants. Covers the full product imagery pipeline from concept to published asset. Use when you need to plan product photoshoots, create photography briefs, set image standards for an e-commerce catalog, generate AI product lifestyle shots, or ensure visual consistency across hundreds of products.
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Checks design/ADR docs for consistency and missing decisions.
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Detect inconsistencies in ID formatting, date/time display, monetary amounts, and enum/status labels compared to existing patterns in the codebase.
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Normalizes documentation and examples for consistency in style, format, and accuracy. Ensures code matches existing patterns and documentation. Use when reviewing docs, examples, or writing new code that should follow established patterns.
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Systematic methodology for verifying that IA, BE, and FE specification layers are mutually consistent. Covers coverage matrices, field mapping checks, error code propagation, access control consistency, and data contract drift detection.
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Brand guardian v2 — brand consistency, tone of voice, visual identity, guidelines
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Art director v2 — visual style, photo direction, typography, layout, brand consistency
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Hard readiness gate before implementation begins — cross-checks the constitution, feature spec, plan, and tasks for consistency, traceability, and unresolved ambiguity. Returns PASS or FAIL with specific findings. Load when the spec-driven-development orchestrator routes /analyze, when the user asks to cross-check spec vs plan, audit traceability, verify spec readiness, gate-check before implementation, or says "is this spec implementation-ready", "trace requirements to tasks", "/analyze", "spec sanity check", "spec readiness gate", "spec consistency check". Output: docs/reviews/YYYY-MM-DD-<slug>-spec-crosscheck.md.
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Saga patterns, compensating actions, and two-phase commit for distributed transactions. Activate on: distributed transaction, saga, compensating action, two-phase commit, eventual consistency, cross-service transaction. NOT for: single-database transactions (use database-connection-pool-manager), event sourcing (use cqrs-event-sourcing-architect).
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CQRS pattern, event stores, projections, eventual consistency. Activate on: CQRS, event sourcing, event store, read model, projection, aggregate, domain event, command handler. NOT for: message broker setup (use event-driven-architecture-expert), database optimization (use data-warehouse-optimizer).
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Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).
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Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical. Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "service area", or "multi-location".
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将笔记、访谈转录和研究资料整理为博客文章、指南、教程或通讯，参照既有文风和品牌要求安排结构，并用所提供的材料支撑事实性主张。
从真实帖子、文章和邮件中整理语气、句子节奏与表达习惯，生成可重复使用的文风档案，让社交媒体内容、销售邮件和产品公告保持一致。
根据提供的写作示例或品牌风格撰写文章、指南和简报，将笔记、转录文本与研究资料整理成文，也可检查现有稿件的结构、论据及风格一致性。
按照现有项目的实现方式添加外部API集成功能，统一配置、身份验证、错误处理、注册与测试，使新增集成与项目中已有的连接器保持一致。
为AI修改的代码补充回归测试，自动检查API必需字段和处理分支，并建立先运行测试与构建、再进行AI审查的流程，检测已修复问题是否再次出现。
创建用公式联动利润表、资产负债表和现金流量表的 Excel 模型，分阶段填入历史实际数据与预测假设，比较不同情景，并检查三张报表之间的一致性。
分析文章内容，建议图解和插图的位置，协调图表类型、画风与配色后生成图片，保存构思方案及生成提示词，并将完成的图片插入正文相应位置。
从配色、字体和动效方针入手，设计并实现着陆页或多页面 Web 产品。支持随滚动展开的叙事效果，并检查可读性、显示性能和页面间的视觉一致性。
检查网站的视觉不一致、间距、信息层次和交互迟缓等问题，直接修改源代码，为每项修复单独提交，并通过修改前后的截图核对效果。
制作、实现并检查Paperclip中代表智能体及其运行状态的胶囊视觉，按品牌规则管理不同用途的配色和动效，并记录可复现图像所需的设置。