azure-face
Expert knowledge for Azure AI Face development including troubleshooting, best practices, decision making, limits & quotas, security, and integratio…
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
Azure AI Face Skill
This skill provides expert guidance for Azure AI Face. Covers troubleshooting, best practices, decision making, limits & quotas, security, and integrations & coding patterns. 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), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools 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 | L34-L38 | Diagnosing and fixing Azure Face API failures by interpreting error codes, understanding causes (quota, auth, input issues), and applying recommended resolutions. |
| Best Practices | L39-L47 | Guidance on enrolling faces, scaling PersonGroup/PersonDirectory, optimizing performance/latency, and building consent-aware, high-capacity Azure Face enrollment workflows. |
| Decision Making | L48-L53 | Guidance on choosing, configuring, and tuning Azure Face detection and recognition models, including model types, capabilities, parameters, and selection trade-offs. |
| Limits & Quotas | L54-L59 | Scaling PersonGroup for large face datasets and understanding Face API quotas, rate limits, and maximum sizes for persons, faces, and training operations. |
| Security | L60-L69 | Security and compliance for Face and liveness: abuse monitoring, token-based access control, network isolation, encryption/CMK, shared responsibility, and secure SDK version management. |
| Integrations & Coding Patterns | L70-L73 | How to call Azure Face API endpoints, use key operations (detect, identify, verify, find similar), and structure requests/responses in your applications. |
Troubleshooting
| Topic | URL |
|-------|-----|
| Resolve Azure Face API errors using error codes | https://learn.microsoft.com/en-us/azure/ai-services/face/reference-face-error-codes |
Best Practices
| Topic | URL |
|-------|-----|
| Apply best practices for Azure Face enrollment | https://learn.microsoft.com/en-us/azure/ai-services/face/enrollment-overview |
| Add many faces to PersonGroup efficiently | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/add-faces |
| Optimize Azure Face performance and reduce latency | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/mitigate-latency |
| Use PersonDirectory for high-capacity face storage | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/use-persondirectory |
| Implement consent-focused Face enrollment app | https://learn.microsoft.com/en-us/azure/ai-services/face/tutorials/build-enrollment-app |
Decision Making
| Topic | URL |
|-------|-----|
| Choose and specify Azure Face detection models | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/specify-detection-model |
| Select and configure Azure Face recognition models | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/specify-recognition-model |
Limits & Quotas
| Topic | URL |
|-------|-----|
| Scale PersonGroup objects to large Face datasets | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/use-large-scale |
| Review Azure Face service quotas and limits | https://learn.microsoft.com/en-us/azure/ai-services/face/identity-quotas-limits |
Security
| Topic | URL |
|-------|-----|
| Configure abuse monitoring for Face liveness detection | https://learn.microsoft.com/en-us/azure/ai-services/face/concept-liveness-abuse-monitoring |
| Manage Face API access with limited tokens | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/identity-access-token |
| Use Face liveness detection with network isolation | https://learn.microsoft.com/en-us/azure/ai-services/face/how-to/liveness-use-network-isolation |
| Configure encryption and CMK for Azure Face data | https://learn.microsoft.com/en-us/azure/ai-services/face/identity-encrypt-data-at-rest |
| Secure Face liveness solutions with shared responsibility | https://learn.microsoft.com/en-us/azure/ai-services/face/liveness-detection-shared-responsibility |
| Manage liveness client SDK versions for security | https://learn.microsoft.com/en-us/azure/ai-services/face/sdk/understand-the-liveness-sdk-versions |
Integrations & Coding Patterns
| Topic | URL |
|-------|-----|
| Use Azure Face API endpoints and operations | https://learn.microsoft.com/en-us/azure/ai-services/face/identity-api-reference |
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