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Transformation

transformation AI Agent Skills

Browse 5 skills related to transformation

qe-consultancy-practices

215
proffesor-for-testingproffesor-for-testing

Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.

consultingadvisoryclient-engagement+2
141 days ago

middleware-testing-patterns

215
proffesor-for-testingproffesor-for-testing

Enterprise middleware testing patterns for message routing, transformation, DLQ, protocol mediation, ESB error handling, and EIP patterns. Use when testing middleware layers, message brokers, ESBs, or integration buses.

middlewareesbsoap+5
141 days ago

consultancy-practices

215
proffesor-for-testingproffesor-for-testing

Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.

consultingadvisoryclient-engagement+2
141 days ago

test-idea-rewriting

215
proffesor-for-testingproffesor-for-testing

Transform passive "Verify X" test descriptions into active, observable test actions. Use when test ideas lack specificity, use vague language, or fail quality validation. Converts to action-verb format for clearer, more testable descriptions.

test-ideasrewritingaction-verbs+2
141 days ago

file-converter

novas10novas10

Convert files between formats including PDF, CSV, JSON, YAML, Markdown, HTML, images, and more

converterpdfcsv+3
141 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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