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chronos

styrene-labstyrene-lab

Authoritative date and time context from system clock. Use before any date calculations, weekly/monthly reporting, relative date references, quarter boundaries, or epoch timestamps to eliminate AI calculation errors.

194 days ago

styrene-topology

styrene-labstyrene-lab

Styrene mesh network topology, component architecture, and device map. Use when asking about system components, how repos relate, device capabilities, or mesh network layout.

194 days ago

cleave

styrene-labstyrene-lab

Recursive task decomposition system. Splits complex directives into subtasks, executes in isolation, reunifies results. Use for multi-system implementations requiring careful breakdown.

195 days ago

date-context

styrene-labstyrene-lab

Authoritative date context from system clock. Use before any date calculations, weekly reporting, or relative date references to eliminate AI calculation errors.

195 days ago

git

styrene-labstyrene-lab

Git conventions for styrene-lab. Conventional commits, semantic versioning, branch naming, tagging, changelogs, and release workflow. Use when committing, branching, tagging, or managing releases. Separate from GitHub operations (PRs, issues, Actions).

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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