'schemas' 검색 결과

Create output schemas, definitions of result fields and display settings, for an Apify Actor by inspecting its source code. Generate dataset and output files, add key-value storage definitions when needed, and update actor.json to reference them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating output schemas for a new Actor
• Updating schemas after output fields change
• Configuring result table columns in Apify Console

Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing agent roles for research automation
• Choosing how multiple agents coordinate work
• Generating and validating tool schemas

Design and improve prompts for language models, then test their accuracy and consistency. Create reusable templates, JSON output schemas that define response structure, evaluation criteria, and test cases while considering token use and model differences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing prompts for a new AI application
• Improving inconsistent model responses
• Defining JSON response formats

Build and update Convex backend code, including schemas, queries, authentication, storage, and scheduled jobs. Apply input and output validation, indexed data access, and deployment checks to verify the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing schemas and indexed queries
• Implementing queries, mutations, and actions
• Wiring authentication, storage, and scheduled jobs

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。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Zod 4 — TypeScript-first schema validation with static type inference. Use when writing Zod schemas, validating data, defining types with Zod, parsing input, creating form validation schemas, defining API request/response schemas, working with z.object, z.string, z.number, z.enum, z.array, z.union, z.discriminatedUnion, z.file, z.jwt, z.email, z.uuid, z.url, z.codec, z.toJSONSchema, z.fromJSONSchema, z.int, z.stringbool, z.templateLiteral, z.record, z.partialRecord, or any other Zod API. Also use when migrating from Zod 3 to Zod 4, or when the user's package.json shows zod@^4. CRITICAL: Always use Zod 4 APIs. Never use deprecated Zod 3 patterns unless user explicitly requests Zod 3 compatibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

FastAPI 앱 개발과 검토에서 구조, 입력 검증, 인증, 권한 확인, 비동기 처리, 데이터베이스 업데이트, 테스트의 설계와 구현을 지원합니다.

• FastAPI 앱 구조 결정
• 입출력 데이터 형식과 검증 정비
• 인증과 작업 권한 검토

Find the smallest set of tools suited to a task, check their required inputs and effects, and inspect the results. Use a small read-only check when the environment or target is uncertain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing suitable tools from a large collection
• Checking required inputs before a tool call
• Investigating failures caused by incorrect parameters

Create Markdown research notes, reports, and guides with Mermaid diagrams, which describe relationships as editable text. Choose suitable diagrams for workflows, timelines, or schemas, add accessible descriptions, and check rendering in the intended destination.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing research notes with workflow diagrams
• Diagramming data structures and relationships
• Creating project timelines

Create consistent records for evaluating AI agents, including task success, invalid tool calls, token use, and actual costs. Produce CSV tables, database definitions, and JSON validation schemas to support reproducible comparisons and checks for performance declines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording agent evaluation results in a shared format
• Comparing a candidate agent with a baseline
• Tracking actual cost per solved task

Turn notes, prose, code, schemas, or tables into editable diagrams, including flowcharts, architecture diagrams, and schedules. Choose Mermaid, Graphviz DOT, PlantUML, or SVG to suit the content, with image or PDF rendering when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn business procedures into flowcharts
• Diagram system architecture and dependencies
• Visualize database relationships and interactions

Generate a starting project for a subscription web app with Next.js, including sign-in, database schemas, billing routes, and a dashboard. The workflow also covers staged validation and reference documents for customization and common setup problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a subscription web app
• Setting up authentication and billing together
• Building a dashboard and pricing page

Develop TypeScript services and workflows with Effect v4 by checking its source and existing project examples. Guides data schemas, typed errors, explicit dependencies, and tests that follow the project's established patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing services with Effect v4
• Defining data schemas and typed errors
• Organizing dependencies and HTTP handlers

Define the structure and available components for AI-generated JSON screens or videos. Build generation prompts, process incremental updates, connect values to application state, and validate or repair definitions before passing them to a renderer.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define allowed components for AI-generated screens
• Build prompts for generating or editing JSON definitions
• Assemble definitions from streamed AI responses

Create editable draw.io diagrams from descriptions, code, infrastructure settings, or database schemas. Update existing diagrams while preserving manual layout, check their structure and architecture rules, and export them to image or document formats for sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a written description into an editable diagram
• Generate architecture diagrams from code or infrastructure settings
• Update a diagram while preserving manual layout

Build evaluation suites for AI features with the Axiom AI SDK. Generate test files, scoring functions, test cases, and configurable parameters from descriptions and existing code to compare changes and monitor output quality in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add regression evaluations for an AI feature
• Score classification, retrieval, and structured outputs
• Compare model and parameter configurations

Update Bifrost Helm charts, the packages used to configure deployments, while keeping settings, schemas, templates, and documentation aligned. Check the published release and group changes into the next unreleased version.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add Bifrost settings to the Helm chart
• Check configuration fields missing from the chart
• Combine changes into one unreleased version

Guide Nexent backend design, implementation, debugging, and review across database schemas, FastAPI endpoints, services, and configuration. Check existing interfaces, consult references for each affected layer, and verify successful and failed behavior while preserving public contracts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design relational tables, keys, and indexes
• Implement or review FastAPI endpoint changes
• Debug backend services and database access

Audit GraphQL APIs for exposed schemas, missing access checks, injection risks, and weak query limits. Combine automated tools with targeted checks to investigate data exposure, unauthorized operations, and resource exhaustion, then document findings with reproducible evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discover GraphQL schemas and hidden fields
• Check object and field access permissions
• Test batching, query depth, and complexity limits

Build and extend JavaScript or TypeScript apps with TinyBase, keeping active data in the app runtime. The skill guides project generation, UI connections, data storage, and synchronization, with checks for reloads, two-client updates, and reconnection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate a new TinyBase application
• Connect data schemas and UI components
• Keep saved data available after a reload

Use this skill to run a four-panel adversarial advisory review on any pull request that touches the OpenAPM specification artifact (docs/src/content/docs/specs/openapm-*.md), its inline / sidecar JSON Schemas (docs/src/content/docs/specs/schemas/*.schema.json), or the conformance fixture seed (tests/fixtures/spec-conformance/**). The panel fans out to four spec-ecosystem reviewers (swagger-openapi-editor, oci-distribution-editor, pkgmgr-registry-contract-editor, w3c-tag-architect), each running in its own agent thread, and a spec-editor synthesizer that produces a fold-now / defer-v0.1.1 / defer-v0.2 / reject list plus a ship decision keyed off a 1..10 shocked_meter scale. The orchestrator is the sole writer to the PR: ONE consolidated comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes folds, and renders a ship recommendation that the maintainer weighs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine, running compatibility assessments, navigating metadata trees, exporting converted DDL to S3, applying schema changes to a target database, and converting SQL statements between database engines. Applies when migrating database schemas between heterogeneous engines using AWS DMS Schema Conversion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use BEFORE editing any file in `supabase/migrations/` or `supabase/schemas/`, OR when the user runs a `/database` subcommand (`compact local migration`, `rls scenarios`, `align`). Encodes the three contracts that protect the Grida database layer: applied migrations are immutable, RLS implementation mirrors tests (never the reverse), `schemas/*.sql` is the human-readable end-state. Companion to `supabase/AGENTS.md` (RLS, grants, security boundaries).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.