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advanced AI Agent Skills

Browse 5 skills related to advanced

Advanced Playwright E2E Framework

71
PramodDuttaPramodDutta

Enterprise-grade Playwright test automation framework using 8-layer architecture with Page Object Model, Module Pattern, custom fixtures, API testing layer, structured logging, data generators, multi-browser support, Docker, CI/CD pipelines, and custom HTML reporting.

playwrighte2eadvanced+12
142 days ago

Playwright Enhanced

71
PramodDuttaPramodDutta

Advanced Playwright automation with auto-detection, custom fixtures, trace debugging, visual testing, mobile emulation, and production-grade test architecture.

playwrighte2eadvanced+4
142 days ago

advanced-example

4
srprasannasrprasanna

Advanced example showing all available metadata fields and complex folder structure

exampletutorialadvanced+1
142 days ago

Playwright Enhanced

1
KaliBellionKaliBellion

Advanced Playwright automation with auto-detection, custom fixtures, trace debugging, visual testing, mobile emulation, and production-grade test architecture.

playwrighte2eadvanced+4
142 days ago

Advanced Playwright E2E Framework

1
KaliBellionKaliBellion

Enterprise-grade Playwright test automation framework using 8-layer architecture with Page Object Model, Module Pattern, custom fixtures, API testing layer, structured logging, data generators, multi-browser support, Docker, CI/CD pipelines, and custom HTML reporting.

playwrighte2eadvanced+12
142 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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