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dx-review

1.6k
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Review developer experience and API ergonomics

193 days ago

explore-references

1.6k
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Research how a feature works in reference libraries

193 days ago

implement-spec

1.6k
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Implement a specification from the plans directory

193 days ago

create-scratch

1.6k
LibPDF-jsLibPDF-js

Create a new scratch file in .agents/scratches/

193 days ago

code-review

1.6k
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Brutally honest code review assessing security, reliability, performance, and taste

192 days ago

continue-implementation

1.6k
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Continue implementing a spec from a previous session

192 days ago

create-plan

1.6k
LibPDF-jsLibPDF-js

Create a new plan file in .agents/plans/

192 days ago

create-documentation

1.6k
LibPDF-jsLibPDF-js

Generate markdown documentation for a module or feature

193 days ago

conventional-commit

1.6k
LibPDF-jsLibPDF-js

Add and commit changes using conventional commits

193 days ago

interview-spec

1.6k
LibPDF-jsLibPDF-js

Deep-dive interview to flesh out a spec or design document

193 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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