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data-contracts

Enforce consumer-producer data contracts across REST, GraphQL, gRPC, and streaming protocols.

Updated May 11, 2026
Search Tags:#asyncapi#contract-testing#dlq#schema-registry#data-contracts#pii-annotation
One-click install
npx skills add https://github.com/resultakak/argos --skill data-contracts-resultakak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-contracts
Source: https://github.com/resultakak/argos/tree/main/skills/data-contracts
Command: npx skills add https://github.com/resultakak/argos --skill data-contracts-resultakak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data contracts define the exact structure and semantics of data exchanged between producers and consumers, ensuring schema consistency, versioning discipline, and reliable integration across services.

Core Features & Use Cases

  • Schema-driven contracts for REST/GraphQL/gRPC/AsyncAPI with Avro/Protobuf backends.
  • Explicit versioning and backward-compatibility guarantees to prevent breaking changes.
  • DLQ handling and idempotent consumers to ensure at-least-once delivery and poison-message remediation.
  • Backstage catalog integration and schema-registry coordination for centralized governance.

Quick Start

Validate a service against the defined data contracts and publish drift reports to the catalog.

Frequently Asked Questions about data-contracts

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

FAQPage Schema
What are data contracts and how do they prevent breaking schema changes?▼

Data contracts define the exact structure and semantics of data exchanged between producers and consumers, enforcing explicit versioning and backward-compatibility guarantees to prevent breaking changes across services.

How do I enforce consumer-producer data contracts across REST and streaming protocols?▼

You can enforce consumer-producer data contracts across REST, GraphQL, gRPC, and streaming protocols by applying schema-driven contracts with automated CI tests using Pact, AsyncAPI, and drift checks.

Can I use this to handle poison messages and ensure idempotent consumers?▼

Yes, this handles poison messages by integrating Dead Letter Queue remediation and enforcing idempotent consumers to ensure at-least-once delivery for streaming and event-driven architectures.

Does this support PII annotation and latency SLAs within schema definitions?▼

Yes, the contract framework specifically satisfies requirements for explicit versioning, PII annotation, and latency SLAs within versioned schemas integrated with a schema registry.

How do I validate services against data contracts and publish drift reports?▼

You validate a service against defined data contracts by running automated CI contract tests, then publish the resulting drift reports to the Backstage catalog for centralized governance.

What is the best way to manage schema consistency across Avro and Protobuf backends?▼

The best way to manage schema consistency is by applying schema-driven contracts for Avro and Protobuf backends, coordinating through a schema registry to centralize governance and compatibility checks.

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