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markdown-writer

5
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Guidelines for creating Markdown documents. Used when creating or editing Markdown documents.

194 days ago

git-committer

5
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Guidelines for Git commits. Use before creating a commit.

194 days ago

java-dev

5
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Guidelines for Java development. Used when writing Java code or running tests.

194 days ago

steering

5
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A skill for recording the work plan and task list for each work instruction into documents. It is invoked/read during planning, implementation, and verification when triggered by user instructions.

194 days ago

reporting-doc-reviewer

5
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Review materials used to report design details or analysis results to others. Used when reviewing documents prepared for reporting.

194 days ago

tdd-workflow

5
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Used when developing new features, fixing bugs, or refactoring. Enforces test-driven development with unit, integration, and E2E tests while maintaining over 80% coverage.

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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