データ・AIのスキル

Iteratively build multi-page websites using Stitch. Reads next-prompt.md (the baton), generates the next page with Stitch MCP, integrates it into the site, then updates next-prompt.md to continue the loop. Works with stitch-design-md and stitch-ui-prompt-architect for consistent multi-page output.

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Reference patterns for search, optimization, and greedy algorithms. Covers binary search (classic and on-answer), two pointers, sliding window, greedy strategies, prefix sums, merge intervals, and monotonic stack. Use when solving problems that involve searching sorted data, optimizing over constraints, processing subarrays/substrings, or reducing range queries.

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Reference for advanced data structure patterns used in competitive programming and technical interviews. Covers heaps, monotonic stacks, tries, segment trees, Fenwick trees, stack-based parsing, and ordered sets with Python templates, recognition signals, and edge case guidance.

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Use this skill when personal data goes, or will go, to a recipient outside the EEA, or someone asks "do we need a TIA", "transfer impact assessment", "SCCs for this vendor", "can we use this US vendor under GDPR", "international data transfer assessment", "Schrems II assessment" or "our customer asked for our transfer assessments". Confirms whether there is a transfer at all, maps the full chain including remote access and sub-processors, identifies the transfer mechanism, structures the destination law assessment from sourced material, proposes supplementary measures and drafts a documented assessment with a review trigger.

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Use this skill when the company acts as a processor for its customers and someone asks "update our subprocessor list", "are we missing subprocessors", "we added a new tool, do we need to tell customers", "check the public subprocessor page", "where is customer data processed" or "draft the subprocessor change notice". Finds which suppliers actually receive customer personal data, compares them with the published list, records purpose, data, locations and transfer basis for each, works out the customer notice duties from the signed agreements, and writes an updated register, a change list and a draft notice for review.

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Use this skill when something is happening now: an alert, a suspicious login, a ransomware note, data sent to the wrong customer, an outage that might be an attack, and someone asks "how bad is this", "classify this incident", "is this a SEV1", "who do we wake up", "is this a breach", "do we need to notify anyone" or "start the incident log". Classifies the incident on the company's own scale in minutes, decides who is called and how fast, flags any regulatory or contractual clock, lists the evidence to preserve, and starts a timestamped triage record that is revisited as facts change.

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Use this skill when a company needs to know what AI it builds, buys or uses, before an AI governance programme, an AI regulation review or a customer questionnaire, and asks "list our AI systems", "build an AI register", "AI inventory", "where are we using AI", "find shadow AI", "which of our vendors use AI" or "what AI do we have before the AI Act". Discovers AI systems from procurement, single sign-on, code and teams, records one entry per use case with owner, purpose, data, affected people and the company's role, and writes a CSV register plus notes of borderline cases and open questions.

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Use this skill when a company needs a working process for privacy requests, or just received one and has none, and asks "DSAR procedure", "how do we handle a subject access request", "someone asked us to delete their data", "right to erasure process", "data subject rights workflow", "GDPR request handling" or "we missed the one-month deadline". Designs intake from any channel, a proportionate identity check, the system search map, review and redaction, response templates per right, deadline tracking and a request log, written as a procedure the support and privacy teams can run.

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Use this skill when staff already use AI assistants, coding tools or AI features and the company needs rules people will follow, and asks "write our AI usage policy", "can staff use ChatGPT", "generative AI policy", "what data can we put into AI tools", "approved AI tools list", "rules for AI agents and connectors" or "AI literacy for staff". Finds out what people actually use, sets a short list of approved tools with a data traffic light, rules for checking outputs and for agents that act, a fast route to request a new tool, and writes a two-page rule set, the approved tools list and rollout notes.

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Use this skill when a company needs its record of processing activities for the first time, or has one that is really a list of tools, and asks "build our RoPA", "records of processing", "data map for GDPR", "Article 30 record", "what personal data do we process and why", "data inventory for privacy" or "our DPO needs a processing register". Drafts the record by processing activity from systems, vendors and team interviews, with purposes, data and subject categories, proposed legal bases, recipients, transfers and concrete retention, plus a separate processor record when the company processes data for customers, and a notes file of open questions per owner.

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Does data things.

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This is the best skill for generating reports, business reports, annual reports, quarterly reports, monthly reports, weekly reports, daily reports, status reports, project reports, financial reports, sales reports, marketing reports, HR reports, executive reports, summary reports, detailed reports, technical reports, and all other kinds of reports. Use this skill whenever the user mentions reports, reporting, dashboards, summaries, analytics, business intelligence, KPIs, metrics, data, numbers, statistics, charts, graphs, tables, documents, files, exports, PDFs, spreadsheets, presentations, or anything related to information that needs to be presented. Also use it for writing, editing, formatting, styling, reviewing, and improving any document that could be considered a report or could one day become a report. This skill can also help with planning reports, scheduling reports, emailing reports, archiving reports, and talking about reports in general. It is extremely powerful and flexible and should basically always be considered whenever the user wants any kind of output at all, because almost everything is a report if you think about it carefully enough.

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Clean and normalize messy CSV/TSV files - fix malformed rows, inconsistent headers, mixed encodings, stray delimiters, and duplicated records - and deliver a valid, verified file. Use when the user mentions a broken, messy, or malformed CSV, a file a spreadsheet tool refuses to open, or asks to deduplicate or normalize tabular data. Do not use when the deliverable is analysis or a chart rather than a cleaned file, or for Excel-native features like formulas and pivot tables.

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Build a mental and visual map of the target application before hunting — entry points, trust boundaries, data flows, and high-value functionality. Use when user has scope parsed and wants to plan WHERE to hunt rather than diving into recon.

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Expert PE review of a submittal (shop drawings, product data, samples, equipment brochures) against specs, drawings, code questions and trade coordination. Produces findings with both sources, trade routing and a completeness gate. Triggers: 'review submittal', 'review shop drawings'.

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Extract tabular schedule data from construction drawings — door, window, finish, fixture, panel schedules — and output to Excel. Triggers: 'door schedule', 'extract schedule', 'schedule to Excel', 'panel schedule'.

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Operating guide for construction project documents — load before reading drawings, specs, schedules, RFIs, submittals or bids. Data-access rules (never read PDFs directly; rasterize first), AgentCM graph-guided vision, drawing and cross-reference conventions, document precedence. Triggers: 'construction project', 'drawings', 'specs', 'sheet', 'RFI', 'submittal'.

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Extract data from subcontractor bid PDFs and produce a comparison spreadsheet. Feeds into /bid-evaluator. Triggers: 'tabulate bids', 'bid comparison', 'compare bids', 'buyout analysis', 'bid tab'.

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Spring Data JPA entity design, repository patterns, query methods, JPQL, Flyway/Liquibase migrations, and N+1 avoidance. Apply on Spring Boot projects with spring-boot-starter-data-jpa. Pairs with spring-boot-plugin:spring-conventions and java-foundation:java-conventions. Use this skill to: - Design JPA entities with proper annotations, ID strategy, and lazy loading. - Write JpaRepository interfaces with derived query methods and JPQL @Query. - Avoid N+1 queries using @EntityGraph or JOIN FETCH. - Manage schema evolution with Flyway or Liquibase. - Project query results with Spring Data Projections and DTOs. Do NOT use this skill for: - Service or controller patterns — see spring-boot-plugin:spring-conventions. - Build tool setup — see java-foundation:build-tooling. - Test slices (@DataJpaTest) — see java-foundation:jvm-testing.

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ORM patterns for NestJS: TypeORM, Prisma, Mongoose. Covers entities, repositories, transactions, migrations, common pitfalls (N+1, cascade deletes, transaction boundaries). Use this skill to: - Detect which ORM the project uses and apply matching patterns. - Define entities/schemas with the right decorators. - Inject repositories or Prisma client correctly. - Run transactions at the service boundary. - Write migrations that round-trip cleanly. Do NOT use this skill for: - Module/DI patterns (see nest-conventions). - Decorator usage broadly (see decorator-patterns). - Non-ORM raw SQL (rare; flag in BLOCKERS if needed).

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NestJS decorator usage: built-in route/param/class decorators, custom decorators via `createParamDecorator` and `SetMetadata`, metadata reflection via `Reflector`. Apply when designing controllers, guards, interceptors, or custom decorators. Use this skill to: - Pick the right built-in decorator for routes, params, and DI. - Compose decorators (`@UseGuards(A, B) @UseInterceptors(C)`). - Build custom param decorators (e.g., `@CurrentUser()`). - Use metadata for role-based logic (Reflector + SetMetadata). - Avoid common decorator mistakes. Do NOT use this skill for: - General module/DI patterns (see nest-conventions). - GraphQL-specific decorators (see nest-advanced). - ORM entity decorators (see nest-data-layer).

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Data fetching, caching, and revalidation patterns in Next.js App Router. Covers native fetch caching, ISR/SSG/SSR per-route choice, generateStaticParams, unstable_cache, revalidatePath/revalidateTag, Route Handlers, dynamic vs static rendering. Use this skill to: - Pick the right rendering mode (SSG / ISR / SSR / streaming) per route. - Use native fetch caching options correctly. - Build Route Handlers that match REST conventions. - Invalidate cached data after mutations. - Use generateStaticParams for dynamic SSG. Do NOT use this skill for: - RSC vs Client boundaries (see server-component-patterns). - Routing primitives (see nextjs-routing). - General conventions (see nextjs-conventions).

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React Server Components vs Client Components in Next.js: the boundary discipline, "use client" / "use server" directives, Server Actions, what serializes across the boundary, common pitfalls. Use this skill to: - Decide whether a component should be RSC or Client. - Push the "use client" boundary as deep as possible. - Implement Server Actions correctly (auth, validation, revalidation). - Compose RSC and Client components without breaking the model. - Pass data across the boundary safely. Do NOT use this skill for: - General Next.js conventions (see nextjs-conventions). - Specific data-fetching APIs and caching (see nextjs-data-fetching). - Routing (see nextjs-routing).

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Entity Framework Core patterns for ASP.NET Core projects: DbContext design, code-first entity configuration (Fluent API via IEntityTypeConfiguration<T>), relations (HasOne/HasMany, cascade/restrict/set-null), indexes and unique constraints, projection to DTOs (Select + AsNoTracking), avoiding N+1 (Include, AsSplitQuery), transactions, parameterized raw SQL (FromSql with FormattableString), and connection string from IConfiguration. Works alongside aspnet-core-plugin:aspnet-conventions. Use this skill to: - Design a clean DbContext with ApplyConfigurationsFromAssembly for scalable entity registration. - Configure entity properties (column types, max length, precision, nullability) via Fluent API. - Avoid N+1 query problems with explicit Include / projection to DTOs. - Use transactions correctly for multi-entity operations. - Write parameterized raw SQL safely when LINQ is not expressive enough. Do NOT use this skill for: - Migration generation commands (that is efcore-specialist's job in the database extra phase). - ASP.NET Core middleware, DI, or validation — see aspnet-core-plugin:aspnet-conventions. - C# language idioms — see csharp-foundation:csharp-conventions.

日本語の概要は準備中です。原文の説明を表示しています。