Neta Suggest

What it does

Neta Suggest is a content-research and recommendation skill that helps agents discover topics, suggest keywords and tags, validate category paths, and fetch recommended content streams. It supports progressive exploration from broad discovery to precise category filtering, with ready-to-run CLI examples for each capability.

When to use it

Use this skill when a user needs help finding content ideas, trending topics, or building a targeted content feed. Typical scenarios: exploratory research, pre-creation topic discovery, validating taxonomy paths before queries, and filtering content by multi-level categories.

What's included

• Scripts: the repository exposes CLI commands and examples (npx usage shown in the SKILL.md) though there are no separate scripts bundled in the skill folder
• References: inline examples, parameter descriptions, and suggested flows for progressive exploration from categories → tags → content
• Instructions: detailed usage patterns for suggest_keywords, suggest_tags, suggest_categories, validate_tax_path, and suggest_content modes, plus parameter tips and pagination best-practices.

Compatible agents

Designed for developer/agent workflows that can invoke CLI or npm-based commands and parse JSON outputs; useful with multi-turn agents that maintain biz_trace_id for paging and continuity.