Does this skill support monorepos?

Yes, the skill can generate multiple entity definitions within a single file or separate files to accommodate monorepo structures.

What entity types can I generate?

The skill supports Service, Datastore, Queue, API, and System entity kinds using the official Datadog v3 schema.

What is the Datadog Software Catalog?

It is a centralized hub within Datadog for managing metadata, ownership, and dependencies of your services, APIs, and infrastructure.

Are Datadog API keys required?

Yes, to fetch existing context and validate team data, you need to provide DD_API_KEY and DD_APP_KEY in your environment.

How does it handle existing configuration files?

It performs a deep merge of new data with existing YAML files, allowing you to preserve custom extensions while updating core metadata.

Datadog Entity Generator

Name: Datadog Entity Generator
Author: JantonioFC

byJantonioFC

•

分析与监控

Automates the creation and validation of Datadog Software Catalog entity definitions by analyzing source code and interviewing engineers.

The Datadog Entity Generator skill streamlines the management of Datadog's Software Catalog by generating exhaustive, schema-compliant v3 YAML definitions. It works by scanning project metadata from files like package.json or Dockerfiles, fetching existing environment data via the Datadog API, and guiding engineers through a structured interview to fill critical gaps. By automating the extraction of dependencies, ownership, and integration details, it ensures high-quality service mapping and observability metadata with minimal manual effort, making it essential for teams maintaining complex microservices architectures.

主要功能

01Automated project metadata analysis for language and dependency detection

02Intelligent YAML merging with diff previews to protect custom configurations

03Interactive engineer interview workflow to capture human-only insights

04Official v3 schema validation for services, datastores, queues, and APIs

05Datadog API integration to sync existing teams and service context

062 GitHub stars

使用场景

01Updating legacy service metadata during cloud migrations or re-platforming

02Bootstrapping new services in the Datadog Software Catalog

03Standardizing observability tags and ownership across a microservices architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank datadog-entity-generator

For use in Claude.ai and ChatGPT

主要功能

01Automated project metadata analysis for language and dependency detection

02Intelligent YAML merging with diff previews to protect custom configurations

03Interactive engineer interview workflow to capture human-only insights

04Official v3 schema validation for services, datastores, queues, and APIs

05Datadog API integration to sync existing teams and service context

062 GitHub stars

使用场景

01Updating legacy service metadata during cloud migrations or re-platforming

02Bootstrapping new services in the Datadog Software Catalog

03Standardizing observability tags and ownership across a microservices architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank datadog-entity-generator

For use in Claude.ai and ChatGPT