'yaml' 검색 결과

Create reusable slash commands for Agent Zero using YAML configuration files paired with text templates or Python scripts. It helps choose project or global scope, update existing commands, and report the saved files and exact command to invoke.

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• Turn repeated requests into reusable slash commands
• Create commands available only within a project
• Create commands shared across projects

Create Vally evaluation specifications for skills, custom agents, and workflow packages. Design distinct test requests, prepare fixture files, define automated checks and outcome rubrics, and size comparisons to provide meaningful evidence without favoring the skill’s wording.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an eval.yaml for a skill or custom agent
• Define outcome-based checks and judging rubrics
• Prepare fixture files that reproduce specific failures

Improve validation errors in gh-aw so users can see what went wrong, what input is expected, and how to fix it. Provides writing patterns, valid YAML examples, Go error-handling guidance, and checks for message quality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rewrite vague validation errors with concrete fixes
• Add valid YAML examples to configuration errors
• Standardize messages for format, type, and choice errors

Create and edit EAS workflow YAML files to automate builds and deployment for Expo projects. The skill consults current documentation and validates configuration structure, required parameters, job dependencies, and expressions against the published schema.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an EAS workflow for builds and deployment
• Edit workflow triggers and job dependencies
• Validate existing workflow YAML files

HuggingFace router의 모델 목록과 chat-ui 설정을 비교해 미등록 모델을 조사합니다. 짧은 영어 설명을 작성하고 운영용·개발용 설정에 함께 추가합니다.

• 라우터의 새 모델을 추가할 때
• 모델 특징을 짧은 설명으로 정리할 때
• 운영용·개발용 모델 정보를 함께 갱신할 때

Create, review, migrate, or troubleshoot Azure Developer CLI projects. Align application settings, infrastructure definitions, deployment environments, secrets, and automated delivery workflows while checking that configuration files and deployment requirements agree.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an Azure Developer CLI project structure
• Reviewing azure.yaml against Bicep or Terraform definitions
• Organizing environment settings and secret handling

Check YAML frontmatter, the metadata at the top of knowledge pages, for formatting and identity errors. Explain why gbrain holds files during sync, preview proposed changes, and repair supported problems after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit metadata across knowledge pages
• Investigate files held during sync
• Preview and repair formatting errors

Deploy applications to Render by inspecting code and preparing build settings, environment variables, and required services. Generates render.yaml deployment configuration or creates services through MCP, then checks deployment status, logs, and basic health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a web application on Render
• Prepare deployment configuration for multiple services
• Set up databases and scheduled jobs

Manage shared iii configuration with JSON Schema, a definition of allowed value structures. Covers validated settings, automatic change notifications, YAML edits, temporary overrides, and default initialization that preserves existing values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing validated settings between workers
• Reacting to manual YAML configuration edits
• Initializing defaults while preserving existing values

Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding newly available router models to chat-ui
• Writing concise descriptions of model capabilities
• Updating production and development model entries together

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.

Turn recurring GUI workflows into macros that agents can call from the command line with parameters. Define and inspect macros, simulate runs before making changes, and review structured results and execution history.

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• Repeat export tasks with different output paths
• Check macro parameters before making changes
• Create a YAML macro for a recurring workflow

Create and edit Agent QA tests, test suites, and hooks, then validate their structure and tool-generated IDs before running them. Use MCP, an agent tool connection, or the CLI within a configured workspace.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create and validate a checkout test for staging
• Update an existing test suite
• Check YAML definitions and IDs

Add project-specific settings to Claude Code plugins using local Markdown files. Learn how to combine structured YAML settings with written context, read them from hooks and commands, and validate configuration values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add project-specific configuration to a plugin
• Control hook activation through settings
• Store agent state alongside task instructions

Generate Kubernetes YAML files that define how applications run, connect, receive configuration, and use persistent storage. Include resource limits, health checks, security settings, labels, and validation guidance for production-oriented deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating Deployment and Service manifests
• Separating configuration with ConfigMaps and Secrets
• Defining persistent storage for applications

Read and summarize local text files, including notes, configuration files, CSV tables, logs, and source code. Extract relevant sections, explain key fields or columns, and review recent errors without loading an entire large file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize text and Markdown files
• Inspect important fields in JSON or YAML
• Review CSV or TSV headers and sample rows

Read and summarize local text files, including configuration files, source code, tables, and logs. Inspect key fields or columns, extract relevant passages, and review recent errors or warnings without displaying an entire large file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing local notes and text documents
• Inspecting key fields in JSON or YAML files
• Checking CSV or TSV headers and column contents

Helps configure an iii engine for Compose management or direct supervision by tools such as systemd. Covers configuration file structure, ports, storage, and role-based access control through rbac-proxy, including requirements for public connections.

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• Configuring an engine managed by Compose
• Configuring an engine supervised by systemd or Kubernetes
• Setting authentication and access rules for public connections

Create a Wren MDL project, a model layer for database queries, from an existing database. Discover tables and relationships, normalize column types, generate YAML files, and validate and build the project before indexing its schema.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a Wren project from an existing database
• Add selected schemas and tables as a new data source
• Define model relationships from database constraints

Manage applications in KubeSphere, from Helm and YAML deployment templates to repository synchronization, version review, and publication. The skill also guides inspection of installed applications and troubleshooting of installation or upgrade issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding and synchronizing application repositories
• Reviewing and publishing application template versions
• Checking installed applications

Create and manage Volcano jobs and scheduling queues in KubeSphere. Use YAML templates for PyTorch, TensorFlow, MPI, and batch workloads, configure resource requests and execution policies, and investigate jobs that remain pending or fail to create pods.

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• Prepare distributed training jobs for PyTorch or TensorFlow
• Create MPI and batch processing jobs
• Configure queue capacity and scheduling weight

Create Kubernetes deployment files and Helm charts, reusable application packages. Configure permissions, network isolation, and persistent storage, then investigate pod failures and resource usage to adjust workloads and verify deployment health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create deployment YAML and Helm charts
• Configure access permissions and network isolation
• Set up persistent storage and sensitive configuration

Keep chat-ui model settings aligned with the HuggingFace router. Add descriptions for newly available models, check reasoning support, enable artifact panels based on model size, and remove settings for models no longer served.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add newly released models to chat-ui settings
• Remove settings for models no longer served
• Check reasoning support and artifact eligibility

Define reusable OpenRig agent setups, roles, and workflows in specification files. Review dependencies that prevent use on another host, distinguish specifications from bundles and extensions, and verify both file structure and actual execution.

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• Defining reusable agent roles and workflows
• Reviewing specifications for use on another host
• Testing specifications in a clean OpenRig environment