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writing-skills

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Use when creating new skills, editing existing skills, or verifying skills work before deployment

194 days ago

systematic-debugging

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ALWAYS read before debugging any bug, test failure, or unexpected behavior. Use before reading source code to understand a problem. Use before proposing any fix. Use when investigating how existing code actually behaves at runtime. Use when modifying code you haven't run yet.

194 days ago

tdd

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Use when implementing features, fixing bugs (including P0 hotfixes and production incidents), or refactoring. Use when user mentions TDD, red-green-refactor, test-first, or when tempted to write code before tests. Use when fixing any bug — even trivial ones. Use when encountering or modifying existing code that lacks tests.

194 days ago

shaping

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Use when planning features, designing changes, or scoping work before implementation. Use when user says plan, design, think through, shape, or how should we approach. Use before building anything non-trivial in a brownfield codebase.

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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