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data-analysis

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Analyze CSV data and produce summary statistics with a chart

191 days ago

multi-file-output

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Produces multiple file artifacts — tests artifact collection

191 days ago

text-summary

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Produce a summary of input text using extractive summarization

190 days ago

bash-echo

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Echoes input back as output — tests input/output round-trip

190 days ago

slow-skill

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Sleeps for a configurable duration — tests timeout enforcement

190 days ago

exit-nonzero

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Exits with a non-zero code — tests failure handling

190 days ago

pdf-extract

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Extract text content from a base64-encoded PDF

191 days ago

env-check

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Reports sandbox environment variables — tests env injection

191 days ago

word-counter

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Count word frequencies in text

191 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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