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installation AI Agent Skills

Browse 4 skills related to installation

skill-manager

220
buzhangsanbuzhangsan

A Claude Code skill that allows you to search, browse, and install skills from a database of 31,767+ community skills with intelligent folder-level downloads. Supports SVN export, Git sparse checkout, and HTTP fallback methods for complete skill folder installation.

skill-managementpackage-managersearch+3
188 days ago

setup

100
adaptyvbioadaptyvbio

First-time setup for protein design tools. Use this skill when: (1) User is new and hasn't run any tools yet, (2) Commands fail with "file not found" or "modal: command not found", (3) Modal authentication errors occur, (4) User asks how to get started or set up the environment, (5) biomodals directory is missing or tools aren't working.

setuponboardinginstallation
188 days ago

skillsmith

29
smith-hornsmith-horn

Discover, install, compare, and manage Claude Code skills. Search the registry, get recommendations, validate skill quality, and manage your installed skills.

skillsdiscoveryregistry+2
188 days ago

GitHub Copilot CLI Expert

28
rysweetrysweet

Expert knowledge of GitHub Copilot CLI — installation, configuration, usage, custom agents, MCP servers, and version management. Use when asking about Copilot CLI, Copilot commands, installing Copilot, updating Copilot, or Copilot features.

github-copilotcliinstallation+3
188 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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