cloudevents

Design and review event payloads per the CloudEvents v1.0 specification.

Updated Sep 9, 2026
One-click install
npx skills add https://github.com/DeepSpaceCartel/skills --skill cloudevents-deepspacecartel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudevents
Source: https://github.com/DeepSpaceCartel/skills/tree/main/skills/cloudevents
Command: npx skills add https://github.com/DeepSpaceCartel/skills --skill cloudevents-deepspacecartel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Event-driven systems break down when every producer invents its own envelope format, forcing consumers and brokers to write source-specific parsing logic. This Skill provides the CloudEvents v1.0 specification knowledge needed to design interoperable event envelopes that any router, broker, or consumer can handle uniformly. ## Core Features & Use Cases - Context Attribute Design: Apply the required attributes (id, source, specversion, type), optional attributes (time, subject, datacontenttype, dataschema), and documented extensions (distributed tracing, partitioning, sequence, sampledrate, dataref) with correct naming and typing rules. - Event Format & Protocol Binding Guidance: Choose between JSON structured and batched modes, handle data vs. data_base64 correctly, and map events onto HTTP, Kafka, AMQP, MQTT, NATS, or WebSockets bindings. - Versioning & Interoperability Review: Apply the primer's versioning guidance for type and dataschema evolution, respect the 64 KiB interoperability floor, and avoid common pitfalls like nested extension objects or wrong header prefixes. - Use Case: When designing a webhook payload or Kafka message format for a microservices platform, use this Skill to produce a spec-compliant CloudEvents envelope that consumers on any transport can process without custom parsing. ## Quick Start Review my event payload schema and make it compliant with the CloudEvents v1.0 specification.

Frequently Asked Questions about cloudevents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a CloudEvents-compliant event payload?▼

Include the four required context attributes: id, source, specversion (always the literal "1.0"), and type. Add optional attributes like time, subject, datacontenttype, and dataschema as needed, and place any extension attributes flat at the top level following lowercase [a-z0-9] naming rules.

What is the difference between CloudEvents binary and structured mode?▼

In binary mode, data goes in the transport body and each context attribute becomes a transport-native metadata field (e.g. ce- prefixed HTTP headers). In structured mode, the entire event is serialized by an event format like JSON into one body with the format's media type as content-type.

When should I use data versus data_base64 in CloudEvents JSON format?▼

Use data_base64 only for arbitrary binary payloads, with datacontenttype naming the decoded payload's real media type. Use data for everything else: a raw JSON value for JSON media types, or a string for non-JSON content. The two members are mutually exclusive.

Does CloudEvents work with Kafka and HTTP?▼

Yes, CloudEvents defines protocol bindings for HTTP, Kafka, AMQP, MQTT, NATS, and WebSockets. Note the header prefixes differ: HTTP uses ce- (hyphen) while Kafka uses ce_ (underscore), and datacontenttype always maps to the transport's native content-type field.

How do I version CloudEvents event types on breaking changes?▼

Keep the same type while data changes stay backward-compatible, and bump the type (e.g. a .v2 suffix) on breaking changes. Producers should emit both old and new types during a transition window, and update dataschema alongside incompatible changes.

What is the maximum size of a CloudEvents event?▼

Intermediaries must forward events up to 64 KiB, which is the safe interoperability floor rather than a hard ceiling. For larger payloads, keep events compact and reference data externally using the dataref extension instead of inlining it.