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Found 39 Skills
Utilize AI to assist in testing activities, including test data generation, defect root cause analysis, test prioritization, and intelligent test recommendation. The default output format is Markdown, and you can request Excel/CSV/JSON formats instead. This skill applies to AI-assisted testing scenarios.
Autonomous Frontend Code Generation Agent specialized in project-aware API integration. Use when user provides backend API specs needing frontend request code, mock data to convert to request types and handlers, API endpoints to add with types mocks and tests, or new API integration following existing project conventions. Automatically detects TypeScript, request patterns, mock infrastructure, and test frameworks to generate artifact-gated code.
Local SEO Analysis and Optimization Expert. Automatically detect whether a project requires local SEO, analyze NAP (Name, Address, Phone) consistency, local keyword optimization, Google Business Profile (GBP) optimization, and local structured data generation. Provide search engine ranking optimization suggestions for local businesses, including NAP standardization, local keyword strategies, GBP completeness checks, review strategies, map embedding, and local SEO audits.
Property-based testing with Hypothesis for discovering edge cases automatically. Use when testing invariants, finding boundary conditions, implementing stateful testing, or validating data transformations.
Prepare inputs for MTHDS methods. Use when user says "prepare inputs", "create inputs", "use my files", "generate test data", "template", "synthesize inputs", "mock inputs", "I have a PDF/image/document to use", "make sample data", or wants to create inputs.json for running a .mthds pipeline. Handles user-provided files, synthetic data generation, placeholder templates, and mixed approaches. Defaults to automatic mode.
현재 프로젝트의 스키마와 업무 규칙에 맞는 안전하고 일관된 가상 샘플 데이터를 생성한다. “더미 데이터 만들어줘”, “테스트 데이터를 채워줘”, “시연용 사례를 만들어줘”처럼 실제 자료 없이 화면·흐름·테스트를 확인해야 하는 요청에 사용한다. 실제 개인정보나 회사 기밀을 변형하거나 운영 데이터로 사용할 요청에는 사용하지 않는다.
Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.
Plan comprehensive test data management including synthetic data generation, data anonymization, versioning, and environment-specific strategies.
This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
Generate mock data and test fixtures from schemas
Permission Set analysis, hierarchy viewer, and "Who has X?" auditing. Use when analyzing permissions, visualizing PS/PSG hierarchies, or finding which Permission Sets grant access to specific objects, fields, or Apex classes.
Use this skill when users need to create, generate, or validate Salesforce Custom Setting metadata. Trigger when users mention custom settings (hierarchy or list), customSettingsType, SetupOwnerId, per-profile/per-user config overrides, feature flags, feature toggles, kill switches, or on/off switches admins flip to enable/disable behavior, e.g. bypass triggers/automation during a data load. Also use for "create a custom setting" or errors like "Cannot specify: pluralLabel for CustomSettings" or a setting that silently deployed as a regular custom object. A trigger bypass or kill switch is just a checkbox on a hierarchy custom setting — generate ONLY the setting, never an Apex trigger/handler. DO NOT TRIGGER for Custom Metadata Types or __mdt objects — route to platform-custom-metadata-type-generate; for business-record objects — use platform-custom-object-generate; for secrets, API keys, passwords, or tokens — recommend a Named Credential, never generated here.