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Expert knowledge for Azure IoT Hub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Passed 15 of 19 test cases with the skill, and 10 of 19 without it.
and 6 more in the full report
8 fixed10 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to fetch the official Azure documentation page for Azure IoT Hub device connectivity troubleshooting. Which documentation tool should be used when retrieving the content?
| Checked | Without skill | With skill |
|---|---|---|
| The response recommends using mcp_microsoftdocs:microsoft_docs_fetch as the primary tool. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides expert guidance for Azure IoT Hub. 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.
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:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L53 | Diagnosing and fixing IoT Hub, DPS, and Device Update issues: connectivity, routing, provisioning errors, error codes, and collecting/using device and service diagnostic logs. |
| Best Practices | L54-L61 | Best practices for secure, scalable IoT Hub/DPS deployments: device provisioning at scale, OEM security, cert renewal/ADR, resilient reconnection, auto device config, and IoT Hub hardening. |
| Decision Making | L62-L74 | Guidance for choosing IoT Hub vs alternatives, DR usage, routing options, C2D/D2C patterns, pricing and tiers, and methods for monitoring device connections. |
| Architecture & Design Patterns | L75-L81 | Design patterns for DPS lifecycle/HA/DR, VNet connectivity, secure device streams, and reliably persisting ordered IoT Hub events with Cosmos DB. |
| Limits & Quotas | L82-L88 | Limits, quotas, and throttling for IoT Hub, Device Provisioning Service, and Device Update, including per‑service caps, scaling behavior, and what happens when limits are exceeded. |
| Security | L89-L126 | Securing IoT Hub, DPS, and Device Update: auth (Entra ID, RBAC, SAS, X.509), certificates/keys, TLS/ciphers, network isolation (IP filters, private endpoints, VNet), and policy/compliance best practices. |
| Configuration | L127-L158 | Configuring IoT Hub and DPS behavior: device/module twins, jobs, messaging, routing, enrichments, protocols, IPs/endpoints, Device Update manifests, file upload, and monitoring settings. |
| Integrations & Coding Patterns | L159-L183 | Patterns and code samples for connecting devices/DPUs to IoT Hub/DPS (MQTT/HTTPS/AMQP), managing identities, twins, methods, jobs, file upload, and message formats/endpoints. |
| Deployment | L184-L198 | Deploying and updating IoT devices and IoT Hub: Device Update setup/agents, delta/image/package updates, failover, platform support, migrations, and job scheduling. |
test cases passed, vs 10 / 19 without
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