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git-worktrees

1.9k
heyitsnoahheyitsnoah

Work with git worktrees for isolated parallel development. Use when starting feature work in isolation, when needing a separate workspace without branch switching, or when cleaning up worktrees after PR merge.

193 days ago

systematic-debugging

1.9k
heyitsnoahheyitsnoah

ALWAYS use before attempting any fix. Never jump to solutions - investigate root cause first. Use when encountering any technical issue, bug, test failure, or unexpected behavior.

194 days ago

json-canvas

1.9k
heyitsnoahheyitsnoah

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

194 days ago

obsidian-bases

1.9k
heyitsnoahheyitsnoah

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

194 days ago

skill-creator

1.9k
heyitsnoahheyitsnoah

Guide for creating effective skills and commands. Use when users want to create a new skill or command, when updating an existing one, or when asking "how do I make a skill" or "create a command for X".

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.
Can't find your answer here? Get in touch

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