'yaml' 검색 결과

Helps integrate YAML output into json-render, turning incoming text into incremental UI updates. Covers prompt generation, streaming parsing, and targeted edits to existing UI specifications through merge, patch, or diff formats.

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• Render UI updates as YAML arrives
• Generate prompts for YAML output
• Apply partial edits to existing UI specifications

Develop and troubleshoot Apache Beam's YAML SDK. Understand its source files, run data processing pipelines locally or on Dataflow, test changes, and investigate provider issues or mismatched record fields.

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• Find source files for Beam YAML changes
• Run a YAML pipeline locally or on Dataflow
• Run unit tests and external service integration tests

Generate FrontendIntegration YAML for frontend-forge from a simplified configuration containing one menu and one or more pages. Define resource tables or embedded iframe pages, with the bundled generator expanding menu placements into the required YAML structure.

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• Generating integration YAML for a CRD resource table
• Defining an embedded iframe page
• Converting a single-menu configuration into canonical YAML

Axolotl로 대규모 언어 모델을 추가 학습하는 데 필요한 YAML 설정, 데이터 형식과 학습 방법을 안내합니다. 여러 GPU의 설정과 학습 오류, 속도 문제 조사에도 활용합니다.

• 추가 학습용 YAML 설정 작성
• LoRA와 QLoRA 학습 방법 확인
• 데이터 형식과 API 사용법 확인

Run a YAML workflow, a file defining tasks and roles, using the AI in the current session. Resolve inputs and step dependencies, carry out each role's work, and save individual outputs and the final result.

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• Running a workflow defined in a YAML file
• Reviewing a PRD with product manager and architect roles
• Creating a story with narratologist and psychologist roles

코드의 구문 구조를 바탕으로 함수와 호출을 찾고 여러 파일을 한꺼번에 수정합니다. 적용 전에 변경 내용을 미리 확인하고 YAML 규칙으로 검사와 자동 수정을 수행합니다.

• 특정 구조의 함수와 호출 검색
• 여러 파일의 코드를 일괄 치환
• 수정 전에 변경 내용 미리 확인

View and change shared project settings and personal overrides without editing YAML manually. See which values actually apply, where they come from, which allow personal overrides, and which are stored without affecting behavior.

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• Checking effective settings and their sources
• Changing settings shared by the team
• Applying personal overrides

Create and refine YAML prompts for AI assistants using structured roles, requirements, and output instructions. Organize reusable templates with variable placeholders, and check indentation, braces, headings, and formatting for consistency.

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• Creating system prompts for AI assistants
• Building prompt templates with replaceable variables
• Reviewing YAML prompt syntax and formatting

Write and review GitHub Actions workflows for syntax and structural correctness. Check quoting around expressions and special characters, then validate with actionlint, a workflow checker, to catch errors that ordinary YAML parsing can miss.

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• Reviewing new or edited GitHub Actions workflow files
• Checking quotes around expressions containing special characters
• Investigating workflow failures before any jobs start

Finds and rewrites code by its syntax structure across 25 languages. Use it to locate matching calls or declarations, preview bulk changes, and run reusable YAML rules that check code or apply fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding calls or functions with a specific structure
• Previewing and applying bulk code changes
• Checking code with reusable YAML rules

Get guidance on adapting large language models with Axolotl. Covers YAML configuration files, LoRA and QLoRA methods for training fewer parameters, distributed training settings, dataset formats, and debugging training code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write YAML settings for model fine-tuning
• Explore training with LoRA or QLoRA
• Configure training across multiple GPUs

Operate FrontendIntegration resources from existing YAML definitions using kubectl, the Kubernetes command-line tool. Manage updates and enabled state, inspect build output, troubleshoot failures, and install or manage the frontend-forge extension.

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• Create a FrontendIntegration from existing YAML
• Update, enable, or disable a FrontendIntegration
• Inspect build output and troubleshoot failures

Guides LLM fine-tuning with Axolotl, from YAML configuration and dataset formats to distributed training across GPUs. Covers LoRA and QLoRA, methods that train on preferences, multimodal support, and troubleshooting using documentation references and code examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare YAML settings for LLM fine-tuning
• Explore LoRA, QLoRA, and preference training options
• Check dataset formats and input handling

Helps add Apache 2.0 license headers to new Apache Beam files using the correct comment format and placement. Covers source files, configuration, documentation, and local checks for missing license notices.

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• Adding license headers to new source and test files
• Checking license placement in YAML frontmatter
• Investigating missing headers with RAT

Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.

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• Publish a web application or static site on Render
• Prepare deployment settings for apps with databases or workers
• Generate and validate render.yaml

Guide changes to gh-aw internals, including workflow validation, session scoring, and GitHub output handling. Find implementation locations and design rules for configuration checks, YAML compatibility, and limits on log responses returned to agents.

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• Choose where to add workflow validation
• Review changes to session scoring
• Investigate YAML parsing differences

TAKTのワークフローYAMLとファセット（ペルソナ・ポリシー・ナレッジ・インストラクション・出力契約）を作成・更新する。スタイルガイドに準拠したファセット分離とYAMLスキーマに準拠したワークフロー設計を行う。トリガー：「ワークフローを作りたい」「ピースを作りたい」「ファセットを追加」「TAKTのペルソナを作成」「ポリシーを更新」「ナレッジを追加」「出力契約を作成」「ワークフローYAMLを設計」「ピースYAMLを設計」といったTAKTファセット・ワークフロー関連リクエストで起動。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up and troubleshoot disposable runtime environments that Orca creates for each workspace. Review recipe settings in orca.yaml, scaffold scripts that create and dispose of environments, and investigate failures reported by the recipe diagnostic command.

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• Setting up a new environment recipe from start to finish
• Reviewing environmentRecipes settings in orca.yaml
• Scaffolding provider lifecycle scripts

Create YAML test scenarios for web applications and run them in a real browser with Playwright. Use image matching and text recognition to check screens, then organize failure findings for investigation.

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• Test a checkout flow in a real browser
• Check screens with image matching and text recognition
• Investigate browser test failures

Create or update Kubernetes YAML configuration files for GKE Autopilot and Standard. Translates application requirements into manifests covering container permissions, CPU and memory allocation, health checks, storage, external routing, and GPU resources for AI model serving.

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• Creating GKE application deployment manifests
• Reviewing container security and resource settings
• Configuring external routes with GKE Gateway API

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.

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• 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.

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

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.

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