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using-agent-relay

534
AgentWorkforceAgentWorkforce

Use when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features

190 days ago

using-beads-bv

534
AgentWorkforceAgentWorkforce

Use when coordinating dependency-aware task planning with beads (bd) CLI and bv graph sidecar - covers ready work selection, priority management, and robot flags for deterministic outputs

190 days ago

creating-claude-hooks

534
AgentWorkforceAgentWorkforce

Use when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure

190 days ago

browser-testing-with-screenshots

534
AgentWorkforceAgentWorkforce

Use when testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionality

190 days ago

implementing-command-palettes

534
AgentWorkforceAgentWorkforce

Use when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-renders from reference instability

190 days ago

github-oauth-nango-integration

534
AgentWorkforceAgentWorkforce

Use when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handling

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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