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release

111
MelbourneDeveloperMelbourneDeveloper

Prepare and execute a release to pub.dev. Bumps versions, validates changelogs, checks pub.dev status, and guides through the tiered publishing process.

190 days ago

test

111
MelbourneDeveloperMelbourneDeveloper

Run tests and coverage for dart_node packages. Automatically detects which packages to test based on changed files.

190 days ago

create-pr

111
MelbourneDeveloperMelbourneDeveloper

Create a pull request using the dart_node PR template

190 days ago

website

111
MelbourneDeveloperMelbourneDeveloper

Build, serve, and test the dart_node documentation website (Eleventy + Playwright)

190 days ago

setup

111
MelbourneDeveloperMelbourneDeveloper

Install development tools (claude | playwright)

190 days ago

pub-get

111
MelbourneDeveloperMelbourneDeveloper

Install all Dart and npm dependencies in dependency order

190 days ago

taskflow

111
MelbourneDeveloperMelbourneDeveloper

Build and run the full TaskFlow demo stack (Express backend + React frontend + mobile)

190 days ago

build-extension

111
MelbourneDeveloperMelbourneDeveloper

Build, test, and package VSCode extensions in the dart_node repo

190 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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