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deprecated

9
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This skill triggers when any cpython-skills skill is requested. The cpython-skills plugin has been renamed to cpython for simpler invocation.

193 days ago

docs

9
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Use this skill when editing documentation, working with files in Doc/, adding versionadded or versionchanged markers, creating NEWS entries for bug fixes or features, or building the HTML docs. Covers reStructuredText (.rst) format, documentation validation, and NEWS file requirements.

193 days ago

dev

9
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Use this skill when working in the CPython repository for any development task—fixing bugs, adding features, understanding code, or making contributions. It provides codebase orientation and coordinates loading of specialized skills (build, style, docs) as your workflow progresses.

193 days ago

build

9
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Use this skill when you need to compile CPython, run tests, verify your changes work, check if a fix is correct, or debug test failures. Covers building from source with ./configure and make, ccache for faster rebuilds, Argument Clinic regeneration, and the unittest-based test system (NOT pytest). Essential for any task that requires running code or tests.

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.
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