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ShareX Workflow and Versioning

200
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Canonical Git, commit/push, and Directory.Build.props versioning workflow for XerahS. Use for any task that changes version numbers or requires commit/push.

195 days ago

ShareX Feature Specifications

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Detailed specifications for Uploader Plugin System and Annotation Subsystem features

195 days ago

design-ui-window

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Redesigns any Avalonia .axaml view/window to best-in-class UI/UX quality. Enforces consistent layout, spacing, typography, interaction, accessibility and visual hierarchy. Only changes visuals, layout and styles — never business logic, bindings or public view-model API. Reusable by updating target_view_path.

195 days ago

ShareX Architecture and Porting

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Platform abstraction rules, porting guidelines, and architecture standards for XerahS

195 days ago

ShareX Core Standards

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License headers, build configuration rules, SkiaSharp version constraints, and general coding standards for XerahS

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.
Can't find your answer here? Get in touch

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