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git-worktree-workflow

5
asonasasonas

Use git-wt to manage Git Worktrees for efficient parallel development. Handle feature branches, bug fixes, and experimental work in isolated worktrees for faster context switching.

194 days ago

legacy-code-improvement

5
asonasasonas

Incrementally improve legacy code. Transform the codebase into a highly maintainable and extensible one through test automation, model separation, and architecture reorganization.

194 days ago

pr-review

5
asonasasonas

Review GitHub Pull Requests. When given a PR URL, fetches diff and comments using gh command, then performs objective and critical code review.

194 days ago

frontend-design

5
asonasasonas

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

194 days ago

commit

5
asonasasonas

Create a commit using git ai-commit. Use this when the user asks to commit changes, make a commit, or save changes to git. Ensures each commit contains a single logical context.

194 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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