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functional

5
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Functional programming patterns with immutable data. Use when writing logic or data transformations.

195 days ago

typescript-strict

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TypeScript strict mode patterns. Use when writing any TypeScript code.

195 days ago

planning

5
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Planning work in small, known-good increments. Use when starting significant work or breaking down complex tasks.

195 days ago

front-end-testing

5
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DOM Testing Library patterns for behavior-driven UI testing. Framework-agnostic patterns for testing user interfaces. Use when testing any front-end application.

195 days ago

testing

5
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Testing patterns for behavior-driven tests. Use when writing tests or test factories.

195 days ago

refactoring

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Refactoring assessment and patterns. Use after tests pass (GREEN phase) to assess improvement opportunities.

195 days ago

tdd

5
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Test-Driven Development workflow. Use for ALL code changes - features, bug fixes, refactoring. TDD is non-negotiable.

195 days ago

expectations

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Working expectations and documentation practices. Use when capturing learnings or understanding how to work with this codebase.

195 days ago

exploration

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Debugging, prototyping, and learning mode. Use when investigating bugs, exploring APIs, or spiking solutions before committing to TDD implementation.

195 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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