What does this skill do, and when should you use it?
This skill supports Python applications that publish events through the Azure Event Grid SDK. It covers CloudEvents 1.0, Azure Event Grid Schema events, synchronous and asynchronous clients, batching, event properties, and namespace topics. It recommends DefaultAzureCredential and deterministic client cleanup through context managers. It is a focused publishing guide for event-driven applications, not a complete subscription-consumer or deployment solution.
Shows how to install azure-eventgrid and azure-identity; configure topic or namespace endpoints; create and send single or batched CloudEvent and EventGridEvent objects; set event types, sources, subjects, payloads, timestamps, schemas, and extensions; use synchronous or asynchronous EventGridPublisherClient instances; authenticate with DefaultAzureCredential; set AZURE_TOKEN_CREDENTIALS for production; and manage clients and asynchronous credentials with context managers.
- A Python developer needs to publish business events such as order-created notifications to an Azure Event Grid topic.
- A team wants to use CloudEvents 1.0 as an interoperable event format for a new application.
- An application needs to publish batches of events with meaningful subjects for routing and filtering.
- A high-throughput publisher needs the asynchronous azure.eventgrid.aio client.
- A developer is publishing to an Event Grid Namespace topic using namespace_topic.
How do you install this skill?
- The examples publish external events to Azure Event Grid; in real use, confirm the endpoint, permissions, payload, and duplicate-delivery risks first.
- The main document and references disagree on the CloudEvent import path and Namespace Topics usage; verify against the current SDK documentation or pin a package version.
- Dependencies are unpinned, and receiving/subscription flows, error handling, dead-lettering, and compensation are not covered; this should not be treated as a complete production solution.
- Mainland-China network reachability, proxy requirements, and regional service limitations are not documented and require separate validation.
- Shell / CLI
- Network access
Pythonazure-eventgridazure-identity
Install the SDK dependencies in the target Python environment:
pip install azure-eventgrid azure-identity
To install the repository collection, run npx skills add microsoft/skills and select the required skill in the wizard. The collection installs into the chosen agent directory. This skill is located at .github/plugins/azure-sdk-python/skills/azure-eventgrid-py/.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/microsoft/skills.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/.github/plugins/azure-sdk-python/skills/azure-eventgrid-py" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Use this skill when the task mentions “event grid,” “EventGridPublisherClient,” “CloudEvent,” “EventGridEvent,” or “publish events.” Set EVENTGRID_TOPIC_ENDPOINT for topic publishing, or EVENTGRID_NAMESPACE_ENDPOINT for namespace operations. Create the client with DefaultAzureCredential and wrap it in with or async with. For production, set AZURE_TOKEN_CREDENTIALS=prod or a specific credential name.
What are this skill's strengths and limitations?
- Covers both CloudEvents 1.0 and the Azure-native Event Grid Schema.
- Provides synchronous, asynchronous, and namespace-topic publishing examples.
- Gives explicit guidance on DefaultAzureCredential and deterministic resource cleanup.
- Includes practical advice on batching, event attributes, routing filters, and retries.
- The scope is centered on publishing and does not provide a complete subscription or event-consumer implementation.
- The examples do not pin azure-eventgrid or azure-identity versions.
- Using the guidance requires an Azure Event Grid endpoint and Entra authentication setup; detailed permission configuration is not provided.
- The README describes a collection of roughly 190 skills, so capabilities of sibling skills should not be attributed to this one.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Azure Event Grid for Python this page ✓ Microsoft · Official | 52 · Use with care | ★ 2.7k | 3mo ago | MIT |
| Azure Event Grid for .NET ✓ Microsoft · Official | 53 · Use with care | ★ 2.7k | 3mo ago | MIT |
| Azure Event Grid for Java ✓ Microsoft · Official | 47 · Use with care | ★ 2.7k | 3mo ago | MIT |
| Azure Event Hubs for Python ✓ Microsoft · Official | 49 · Use with care | ★ 2.7k | 3mo ago | MIT |
| Azure Identity for Python ✓ Microsoft · Official | 60 · Recommended | ★ 2.7k | 3mo ago | MIT |
How did FollowSkills review this skill?
The documentation recommends DefaultAzureCredential, constrains the production credential chain, and discourages connection strings and API keys, showing good credential hygiene and least-privilege intent. However, publishing events creates an external side effect without user confirmation, data-flow disclosure, sensitive-data guidance, or rollback/compensation guidance, so points are deducted.
It documents sync and async clients, deterministic cleanup, and retry guidance, and the main publishing paths are plausible. However, CloudEvent import locations differ across files, the Namespace Topics examples are not fully consistent in client arguments and invocation, and no skill-specific tests or abnormal-input handling are provided; static evidence therefore supports only a conservative score.
The name, scenarios, and trigger phrases are reasonably specific, covering CloudEvents, EventGridEvent, sync/async publishing, and Namespace Topics. Boundaries such as receiving events or managing subscriptions are not clearly marked as non-fit, and Chinese-language use and mainland-China network reachability are not addressed, limiting confidence in semantic triggering and environment fit.
The skill has clear sections for installation, environment variables, authentication, event types, examples, best practices, and references, with MIT licensing, an author, and version 1.0.0 stated. Dependencies are unpinned, and changelog, maintenance responsibility/update path, troubleshooting, and known limitations are incomplete; some reference material also duplicates or conflicts with the main document.
The examples provide directly reusable starting points for common Python Event Grid publishing tasks, including single and batch events, both event formats, async usage, and Namespace Topics. However, handling CloudEvents and broader event-driven architecture support are not fully demonstrated, while retry/error handling, validation, and production observability are thin; API consistency concerns and the static-review ceiling reduce the score.
The files provide concrete code, package names, environment variables, and API-reference pointers, while the repository context shows general CI and test infrastructure. The supplied material does not include skill-specific tests, real execution results, or independent third-party corroboration, so the assessment remains primarily a static document review and stays below the static ceiling.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →