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Create and validate mirrord.json settings for isolated database copies used in development and testing. Configure connection sources, copying scope, migrations, and authentication so experiments can run without affecting shared databases.

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• Preparing isolated databases for development and testing
• Choosing which schemas and data to copy
• Configuring connection sources and IAM authentication

onboarding workflow for creating datasets and applications in Viking AI Search. Supports one-time import from local files (JSON, JSONL, CSV) and MySQL databases, plus scheduled incremental sync for append-only JSONL files and MySQL. All sources are first exported to a bootstrap JSONL file; backend-driven schema inference handles detection, and optional background sync keeps the dataset up to date as new data arrives.

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🇺🇸 SEO & GEO Dual-Engine Playbook 2026 — Rank on Google AND get cited by AI search (ChatGPT, Perplexity, Claude, Gemini). Battle-tested from AFFiNE (60k GitHub stars in 24 months) and 150+ AI startup consultations. E-E-A-T writing voice system, keyword funnel strategy, JSON-LD schema templates, comparison page SOP, IndexNow setup, Generative Engine Optimization content patterns. **Optimized for dev tools / OSS / B2B SaaS. 2C products (education, apps, games): see 2c-adaptation guide in references/.** 🇨🇳 SEO & GEO 双引擎增长手册 —— 同时拿下 Google 排名和 AI 搜索引用（ChatGPT、Perplexity、Claude、文心一言）的完整方法论。AFFiNE 60k stars 与 150+ AI 创业公司咨询实战验证。E-E-A-T 写作声音系统、关键词漏斗、JSON-LD 结构化数据、竞品对比页 SOP、IndexNow 推送、生成式引擎优化内容模式。**默认适用于开发者工具 / 开源项目 / B2B SaaS，2C 产品（教育/应用/游戏）请参考 references/2c-adaptation.md。** 🇯🇵 SEO & GEO デュアルエンジングロースプレイブック — Google検索とAI検索（ChatGPT、Perplexity、Claude）の両方で評価される手法。AFFiNE 60k starsと150社以上のAIスタートアップコンサルティングで検証。E-E-A-Tライティング、キーワードファネル、Schema.org構造化データ、比較ページSOP。**デフォルトは開発者ツール／OSS／B2B SaaS向け。2C製品（教育・アプリ・ゲーム）はreferences/2c-adaptation.mdを参照。** 🇰🇷 SEO & GEO 듀얼 엔진 성장 플레이북 — 구글 검색과 AI 검색(ChatGPT, Perplexity, Claude) 양쪽 모두에서 인용되는 방법론. AFFiNE 60k 스타와 150+ AI 스타트업 컨설팅으로 검증. E-E-A-T 글쓰기, 키워드 퍼널, Schema.org 구조화 데이터, 비교 페이지 SOP. **기본값은 개발자 도구/OSS/B2B SaaS용. 2C 제품(교육·앱·게임)은 references/2c-adaptation.md 참조.** Triggers: "SEO" | "GEO" | "Generative Engine Optimization" | "AI search optimization" | "ChatGPT SEO" | "Perplexity SEO" | "Claude SEO" | "search optimization" | "content SEO" | "technical SEO" | "schema markup" | "JSON-LD" | "structured data" | "IndexNow" | "E-E-A-T" | "keyword strategy" | "keyword funnel" | "comparison page" | "programmatic SEO" | "SaaS SEO" | "搜索优化" | "AI 搜索" | "内容 SEO" | "GEO 优化" | "生成式引擎优化"

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Research-backed JSON Schema refresh workflow for updating existing schemas with validation checkpoints and cross-reference verification.

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Generate Zod v4 TypeScript schemas from OpenAPI (openapi.yaml / openapi.json) definitions. This skill exists because npm packages like openapi-zod-client do not support Zod v4 — Claude reads the YAML/JSON directly and writes the conversion. Use this skill whenever the user wants to convert OpenAPI/Swagger definitions to Zod schemas, generate TypeScript types from API specs, or create validation schemas from openapi.yaml. Trigger on keywords: 'openapi', 'swagger', 'zod', 'API schema', 'yaml to types', 'schema generation', 'validation generation'. OpenAPI定義からZodスキーマを生成するスキル。openapi.yamlから型を作りたい、APIスキーマをTypeScriptの型にしたい、Zodバリデーションを作りたい、といったリクエストで使う。「openapi」「swagger」「zod」「APIスキーマ」「yamlから型」「スキーマ生成」「バリデーション生成」などのキーワードが出たら積極的にこのスキルを使うこと。

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Implement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.

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Implementa e valida dados estruturados schema.org em JSON-LD — Organization, Article, FAQPage, Product, BreadcrumbList. Use quando o usuário disser "schema", "dados estruturados", "JSON-LD", "rich snippet", "FAQ schema", "schema.org".

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Audit and add structured organization data on a business or brand homepage. Check machine-readable details such as the official name, logo, contact information, and social profiles to help Google understand the organization and its search information panel.

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• Audit organization data on a company homepage
• Add brand names, logos, and contact details in JSON-LD
• Check links to official social profiles

Design and review API contract tests, which check agreed request and response behavior. Examine schemas, server output, and client parsing to identify compatibility problems, reproduce failures locally, and report gaps in test coverage.

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• Checking client impact before changing an API response
• Investigating client and server disagreements at runtime
• Reproducing compatibility failures with local test data

Plan a practical equipment register for tracking serial numbers, assignees, locations, purchase values, warranties, and returns. On request, create empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings from a shared field list.

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• Setting up a laptop and equipment register
• Planning equipment returns when employees leave
• Reviewing fields needed for an asset audit

Plan a simple daily attendance register covering check-in, check-out, hours, absences, and correction requests. When requested, generate empty templates in CSV, SQL, JSON Schema, or Notion mappings to prepare records for payroll input.

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• Designing a daily check-in and check-out register
• Clarifying late arrival and half-day recording rules
• Creating empty attendance templates for payroll input

Plan a former employee register covering previous roles, departure dates, rehire eligibility, and future contact dates. Receive a simple workflow recommendation, with empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings available on request.

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• Planning a former employee register
• Preparing a template for rehire candidates
• Organizing fields for future contact dates

Plan a central board for internal announcements, with fields for authors, audiences, publication dates, expiry dates, and acknowledgements. On request, generate empty templates in CSV, SQL, JSON Schema, or a Notion property mapping.

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• Organizing company news that gets lost in chat
• Preparing an announcement board template
• Defining publication, acknowledgement, and expiry steps

Structure an evidence-based comparison of shortlisted accounting packages using 57 fields for capabilities, costs, and evaluator judgments. Request empty templates in CSV, SQL DDL, JSON Schema, or Notion mapping while keeping the final decision with the business.

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• Prepare a common comparison template for accounting packages
• Define shared tests for vendor demonstrations
• Organize quoted costs for first-year and three-year comparisons

Design a role permission matrix showing which business areas each role should view or edit, including confidentiality levels. Get a review workflow and, on request, empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings.

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• Defining viewing and editing permissions by role
• Planning access rules for confidential records
• Preparing a quarterly access review template

Organize primary and backup administrators, two-factor authentication, shared logins, and access review dates for each system. Get a practical register design or request empty templates in CSV, SQL, JSON Schema, or a Notion property mapping.

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• Reviewing administrator access each quarter
• Checking accounts left behind by former employees
• Creating an administrator register template

Update Biome packages with pnpm, align configuration filenames and schema versions across the repository, and run the configured checks and fixes. Receive a report of remaining issues, with optional further fixes subject to agreement.

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• Updating Biome to a specified version
• Aligning configuration files after dependency updates
• Checking for issues introduced by a Biome update

Integrate the Gemini API on Agent Platform using the Google Gen AI SDK. Guidance covers authentication, text and multimedia tasks, structured JSON responses, live voice interactions, context caching, and batch prediction across five programming languages.

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• Adding document and multimedia understanding to an application
• Generating JSON that matches a defined schema
• Building live voice and video interactions

Turn supplied data into a newspaper-style chart with a takeaway headline, annotations, and source notes. Create line, bar, or range-band charts, which show an interval around a central line, with staggered animation in a single HTML file.

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• Create a chart segment for a video
• Prepare a data chart card for Twitter
• Visualize CSV or JSON data with a takeaway headline

Add team-specific evaluation criteria to plugin-eval by designing a metric pack, a set of custom checks and measurements. Create its manifest and JSON-producing script, then run it through the evaluator using a consistent output structure.

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• Add team-specific evaluation criteria
• Define custom checks and numerical metrics
• Build a metric-pack manifest and script

Review GitHub security advisories, verify fixed versions, and update compatibility rules with narrowly scoped changes. Document upgrade steps and check that version blocking, warnings, and related configuration behave as intended.

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• Setting a minimum version after a security advisory
• Blocking only specifically identified vulnerable versions
• Documenting upgrade and regeneration steps

Generate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "product markup", "add structured data to my page", "how to get rich snippets", or any structured data task.

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Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.

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Expert guide for agent-native structured outputs, JSON Schema strict mode enforcement (OpenAI response_format, Gemini schema mode, Claude tool_use), MCP resource schemas, and zero-hallucination type contracts / Panduan ahli kontrak output terstruktur native agen dan penegakan JSON schema ketat.

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