azure-api-center
Expert knowledge for Azure Api Center development including best practices, security, configuration, integrations & coding patterns, and deployment. Use when automating API linting/registration, syncing with API gateways, customizing the portal, or managing API inventory, and other Azure Api Center related development tasks. Not for Azure API Management (use azure-api-management), Azure App Service (use azure-app-service), Azure Functions (use azure-functions).
What this skill does
# Azure Api Center Skill This skill provides expert guidance for Azure Api Center. Covers best practices, 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`), 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Best Practices | L33-L38 | Best practices for API governance in API Center: using managed linting for style compliance and applying shift-left checks via the VS Code extension. | | Security | L39-L44 | Configuring API authorization schemes for APIs in API Center and managing who can access the API Center portal via the VS Code extension | | Configuration | L45-L53 | Configuring and deploying Azure API Center: setup via ARM/Bicep/CLI, portal customization, API linting/analysis, metadata schemas, MCP/A2A agent setup, and inventory management. | | Integrations & Coding Patterns | L54-L60 | Patterns and scripts for syncing APIs between API Center and platforms like API Management, Amazon API Gateway, and Copilot Studio, plus automation via Azure CLI and Logic Apps/Teams | | Deployment | L61-L65 | Automating API linting and registration to Azure API Center (e.g., via GitHub Actions) and instructions for self-hosting the Azure API Center portal. | ### Best Practices | Topic | URL | |-------|-----| | Use managed linting to enforce API style compliance in Azure API Center | https://learn.microsoft.com/en-us/azure/api-center/enable-managed-api-analysis-linting | | Apply shift-left API governance with VS Code extension | https://learn.microsoft.com/en-us/azure/api-center/govern-apis-vscode-extension | ### Security | Topic | URL | |-------|-----| | Configure API authorization schemes in Azure API Center | https://learn.microsoft.com/en-us/azure/api-center/authorize-api-access | | Control API Center portal access via VS Code extension | https://learn.microsoft.com/en-us/azure/api-center/enable-api-center-portal-vs-code-extension | ### Configuration | Topic | URL | |-------|-----| | Configure metadata schema for Azure API Center governance | https://learn.microsoft.com/en-us/azure/api-center/metadata | | Create Azure API Center via ARM template | https://learn.microsoft.com/en-us/azure/api-center/set-up-api-center-arm-template | | Provision Azure API Center using Azure CLI | https://learn.microsoft.com/en-us/azure/api-center/set-up-api-center-azure-cli | | Deploy Azure API Center with Bicep templates | https://learn.microsoft.com/en-us/azure/api-center/set-up-api-center-bicep | | Define custom metadata schema in Azure API Center | https://learn.microsoft.com/en-us/azure/api-center/tutorials/add-metadata-properties | ### Integrations & Coding Patterns | Topic | URL | |-------|-----| | Import Azure API Management APIs into API Center | https://learn.microsoft.com/en-us/azure/api-center/import-api-management-apis | | Script API Center inventory management with Azure CLI | https://learn.microsoft.com/en-us/azure/api-center/manage-apis-azure-cli | | Automate API registration notifications with Logic Apps and Teams | https://learn.microsoft.com/en-us/azure/api-center/set-up-notification-workflow | ### Deployment | Topic | URL | |-------|-----| | Automate API linting deployment in Azure API Center | https://learn.microsoft.com/en-us/azure/api-center/enable-api-analysis-linting | | Automate API registration to API Center with GitHub Actions | https://learn.microsoft.com/en-us/azure/api-center/register-apis-github-actions |
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.