Neta Content Discovery

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Provides data-driven content research, keyword suggestions, and hierarchical category exploration via the Neta API.

The Neta Suggest Skill is a specialized tool for Claude Code designed to navigate and research the Neta creative ecosystem. It enables users and agents to discover trending topics, identify high-performing tags, and explore a structured three-level category taxonomy. By supporting a progressive exploration workflow—from broad keyword suggestions to precise, filtered content streams—this skill is indispensable for creators needing inspiration or developers building research-heavy agents that require accurate content classification and discovery capabilities.

주요 기능

01Advanced filtering with keyword exclusion and session-based pagination
02Multi-mode content engine supporting Recommend, Search, and Exact intents
03Real-time category path validation to ensure metadata accuracy
04Three-level hierarchical category navigation and taxonomy discovery
05Progressive exploration from broad keywords to specific content nodes
06674 GitHub stars

사용 사례

01Identifying trending themes and niche topics for creative content production
02Conducting market research on specific digital art and lifestyle categories
03Validating content taxonomies for automated tagging and classification systems