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recommendation AI Agent Skills

Browse 6 skills related to recommendation

E-commerce Recommendation Agent

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E-commerce intelligent shopping guide/product recommendation agent that helps users discover products and provides personalized purchase suggestions

ecommercerecommendationshopping
142 days ago

demand_analysis

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Analyze user requirements and extract constraints such as product category, budget, brand preferences, and usage scenarios.

recommendationnludemand
142 days ago

shopping_assistant

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Smart Shopping Assistant - a truly intelligent shopping assistant powered by LLMs

shoppingecommercerecommendation+1
142 days ago

demand_analysis

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Analyze user requirements and extract constraint conditions such as product category, budget, brand preferences, and usage scenarios

ecommercerecommendationanalysis
142 days ago

product_search

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Search the product database based on requirement constraints to obtain a list of candidate products

recommendationsearchproducts
142 days ago

recommendation_explanation

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Generate natural-language recommendation explanations that tell users why these items are recommended.

recommendationexplanationllm
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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