TM Forum
Official@tmforum-oda
Standardizes Open Digital Architecture Canvas operations through Kubernetes orchestration, Helm packaging, and behavior-driven development documentation practices.
Agent Skills by TM Forum
Showing 7 vetted skills indexed across 1 GitHub repositories.
github-actions-debugging
Diagnose GitHub Actions CI/CD workflow failures in the ODA Canvas project.
canvas-ops-tutorial
Guide users through ODA Canvas operations on Kubernetes with interactive menus and kubectl commands.
helm-chart-development
Create Helm umbrella charts with standardized templates and versioning for ODA Canvas.
write-bdd-feature
Draft BDD feature files and step definitions using Gherkin and Cucumber.js conventions.
canvas-usecase-documentation
Standardize ODA Canvas documentation across Markdown, PlantUML, and Helm-chart docs.
skill-creator
Automate the lifecycle of creating, testing, and refining Claude skills.
create-oda-operator
Automate Kubernetes operator creation for ODA Canvas with Python KOPF.
Frequently Asked Questions About TM Forum
FAQPage SchemaWhat specific tasks does the ODA Canvas skill set enable?▼
These skills enable the deployment of Kubernetes operators, the creation of standardized Helm umbrella charts, and the drafting of BDD feature files. Users can also manage technical documentation using Markdown and PlantUML to ensure consistency across ODA Canvas project environments.
Which technical personas benefit from these ODA Canvas skills?▼
Platform engineers, site reliability engineers, and telecommunications systems architects benefit most from these skills. They are designed for professionals managing complex ODA Canvas deployments who require standardized packaging, rigorous testing documentation, and operational oversight within Kubernetes-based environments.
What are the prerequisites for implementing these ODA Canvas operations?▼
Implementation requires an existing Kubernetes cluster and familiarity with Helm packaging standards. Users should also have a working knowledge of Gherkin syntax for BDD feature files and be prepared to manage KOPF-based operator logic for custom resource definitions within the ODA ecosystem.