Azure Architecture Autopilot
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…
Install Azure Data Factory
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-data-factory .claude/skills/azure-data-factory && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .claude/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-data-factory .agents/skills/azure-data-factory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .agents/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-data-factory .cursor/skills/azure-data-factory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .cursor/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MicrosoftDocs/Agent-Skills.git --path skills/azure-data-factory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-data-factory .gemini/skills/azure-data-factory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .gemini/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-data-factory .github/skills/azure-data-factory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .github/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-data-factory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-data-factory .opencode/skills/azure-data-factory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-data-factory" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-data-factory into .opencode/skills/azure-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-data-factory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
azure-data-factory- GitHub stars
- 775
- Used in
- 1 other repo
- Token cost
- ~16k tokens
- SKILL.md length
- 3,982 words
- Files
- 1
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…
- Configuring IR/SSIS/SHIR
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Mapping data flows
What it does
Azure Data Factory is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IR/SSIS/SHIR, mapping data flows, SAP/SaaS connectors, CI/CD deployments, or secure VNets/Key Vault, and other Azure Data Factory related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use…
Its SKILL.md is about 16k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in DevOps & Cloud, covering Test data and fixtures, Deployment and Design patterns. It works with Microsoft Azure and Databricks. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
When your agent uses it
- Configuring IR/SSIS/SHIR
- Mapping data flows
- SAP/SaaS connectors
- CI/CD deployments
Example prompts
- “/azure-data-factory”
Requirements
- Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
What it can do on your machine
Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Context cost
Azure Data Factory loads about 16k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 3,982 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 3,982 words, ~15,723 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-data-factory/SKILL.md (or your agent's skills folder).- name
- azure-data-factory
- description
- Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IR/SSIS/SHIR, mapping data flows, SAP/SaaS connectors, CI/CD deployments, or secure VNets/Key Vault, and other Azure Data Factory related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure Databricks (use azure-databricks).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-09-27
- metadata.generator
- docs2skills/1.0.0
Azure Data Factory Skill
This skill provides expert guidance for Azure Data Factory. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L91 | Diagnosing and fixing ADF failures: connector/format errors, CDC, pipelines, triggers, data flows, SHIR/SSIS IR, performance, security, and known issues with concrete error patterns and workarounds. |
| Best Practices | L92-L114 | Performance tuning, schema drift/error handling, reusable patterns, and migration best practices for Data Factory mapping data flows, copy activity, runtimes, and data lake writes. |
| Decision Making | L115-L133 | Guidance for cost, architecture, and migration decisions: choosing IR and compute, managing connector upgrades, planning ADF/Synapse→Fabric or SSIS→ADF moves, and optimizing pricing/capacity. |
| Architecture & Design Patterns | L134-L142 | Patterns and architectures for ADF: efficient mapping data flows, metadata‑driven copy, SSIS IR with SQL MI/failover/VNet, Cosmos DB migration, and SAP CDC design. |
| Limits & Quotas | L143-L150 | Configuring Until/Wait activity limits and timeouts, understanding data flow reservation discounts, and reviewing ADF service quotas and capacity constraints. |
| Security | L151-L182 | Securing Data Factory: auth, roles, encryption, Key Vault, managed identities, VNets/private endpoints, firewall/Policy configs, and secure access to SQL, Purview, and SSIS IR. |
| Configuration | L183-L294 | Configuring ADF: integration runtimes, SSIS/SHIR, triggers, monitoring/logging, copy/data flows, formats/connectors, parameters/expressions, and pipeline/control activities. |
| Integrations & Coding Patterns | L295-L463 | Patterns and how-tos for connecting ADF to many data sources (SAP, SaaS apps, DBs, files), using mapping data flow functions, running SSIS, Databricks/ML/Synapse jobs, and pipeline templates. |
| Deployment | L464-L477 | CI/CD and deployment for ADF: ARM/linked templates, Azure DevOps pipelines, hotfix flows, pre/post scripts, SSIS job migration, and integration runtime install/migration. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design efficient pipelines using mapping data flows | https://learn.microsoft.com/en-us/azure/data-factory/concepts-data-flow-performance-pipelines |
| Configure Azure-SSIS IR with SQL failover groups | https://learn.microsoft.com/en-us/azure/data-factory/configure-bcdr-azure-ssis-integration-runtime |
| Build metadata-driven large-scale copy pipelines | https://learn.microsoft.com/en-us/azure/data-factory/copy-data-tool-metadata-driven |
| Migrate Azure SQL schemas to Azure Cosmos DB with ADF | https://learn.microsoft.com/en-us/azure/data-factory/how-to-sqldb-to-cosmosdb |
| Decide when and how to join Azure-SSIS integration runtime to a virtual network | https://learn.microsoft.com/en-us/azure/data-factory/join-azure-ssis-integration-runtime-virtual-network |
Limits & Quotas
| Topic | URL |
|---|---|
| Configure Until activity loops and timeouts in ADF | https://learn.microsoft.com/en-us/azure/data-factory/control-flow-until-activity |
| Configure Wait activity durations in Data Factory | https://learn.microsoft.com/en-us/azure/data-factory/control-flow-wait-activity |
| Understand reservation discounts for ADF data flows | https://learn.microsoft.com/en-us/azure/data-factory/data-flow-understand-reservation-charges |
| Review Azure Data Factory limits and quotas from FAQ | https://learn.microsoft.com/en-us/azure/data-factory/frequently-asked-questions |
Security
Configuration
Show full SKILL.md (1,574 more words)Show less
Integrations & Coding Patterns
Deployment
© MicrosoftDocs, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/azure-data-factory of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in MicrosoftDocs/Agent-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Azure Data Factory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Data Factory this skillMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~16k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Letta Configurationletta-ai/skills | 147 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Adf MasterKilo-Org/kilo-marketplace | 189 | — | ~3.2k | Automated safety check: Pass | MIT | |
| CD Pipeline GeneratorArabelaTso/Skills-4-SE | 253 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Azure Bicep Skill
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
Letta Configuration
letta-ai/skills
Configure LLM models and providers for Letta agents and servers.
Adf Master
Kilo-Org/kilo-marketplace
Azure Data Factory (ADF) CI/CD, deployment, and pipeline development.
CD Pipeline Generator
ArabelaTso/Skills-4-SE
Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).
Deploying Cloud Deception With Decoy Resources
mukul975/Anthropic-Cybersecurity-Skills
Deploy cloud-native deception across AWS, Azure, and GCP using decoy (honey) resources whose only purpose is to generate a high-fidelity alert the instant an attacker touches them: canary IAM access…
More from MicrosoftDocs/Agent-Skills
All 149 skills in this repo- Official
Azure Personalizer
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
- Official
Azure Architecture Advisor
MicrosoftDocs/Agent-Skills
Guides Azure solution design by category, from reference architectures and design patterns to technology choices and migrations, fetching current Microsoft Learn pages over the network.
- Official
Azure Advisor Guidance
MicrosoftDocs/Agent-Skills
Reference guidance for Azure Advisor work: recommendations, alerts and digests, workbooks, RBAC access and sovereign-cloud limits, fetched from Microsoft Learn.
- Official
Azure AI Vision Reference
MicrosoftDocs/Agent-Skills
Looks up Microsoft Learn guidance for Azure AI Vision: Image Analysis, Read OCR containers, smart-crop thumbnails, background removal and video frame analysis, plus limits and deployment.
- Official
Azure Analysis Services
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Analysis Services development including troubleshooting.
- Official
Azure Anomaly Detector
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment.
Related
Works with
Categories
Questions about Azure Data Factory
What does Azure Data Factory do?
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations…. Azure Data Factory is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
When should I use Azure Data Factory?
Azure Data Factory fits situations like: configuring IR/SSIS/SHIR; mapping data flows; SAP/SaaS connectors; CI/CD deployments.
How do I install Azure Data Factory in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a claude-code`. Or copy the skill folder (skills/azure-data-factory in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-data-factory in your project. Claude Code loads it when a task matches its description.
How do I install Azure Data Factory in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a codex`. Or copy the skill folder (skills/azure-data-factory in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-data-factory in your project. Codex loads it when a task matches its description.
Can I use Azure Data Factory in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-data-factory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-data-factory, .gemini/skills/azure-data-factory, .github/skills/azure-data-factory and .opencode/skills/azure-data-factory in your project.
What does Azure Data Factory need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Data Factory is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
Does Azure Data Factory access the network?
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Is Azure Data Factory safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Azure Data Factory use?
Azure Data Factory is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Azure Data Factory use?
About 16k tokens (SKILL.md is roughly 63k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Azure Data Factory?
Skills that share tags, products or a category with Azure Data Factory: Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Azure Bicep Skill (timothywarner-org/claude-code, 224 stars), Letta Configuration (letta-ai/skills, 147 stars) and Adf Master (Kilo-Org/kilo-marketplace, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Data Factory?
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.