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ginkgo-cloud-lab

10.8k
K-Dense-AIK-Dense-AI

Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

195 days ago

writing-test-code

73
k8s-lynqk8s-lynq

Guidelines for writing BDD-style test code using Ginkgo/Gomega framework in Go. Use when writing tests for Kubernetes operators, controllers, or Go services. Focuses on behavior-driven development with Given-When-Then patterns and table-driven tests.

195 days ago

go-test-standards

6
iceleaf916iceleaf916

Golang unit testing standards and best practices guide

golanggo-test-standardsunit-test+3
195 days ago

ginkgo

1
otaviofotaviof

Run Ginkgo BDD tests with Kubernetes-aligned conventions.

195 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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