Search Notion pages and databases using natural-language queries.
npx skills add https://github.com/makenotion/cursor-notion-plugin --skill search-makenotion
Please help me install this Agent Skill. Skill: search Source: https://github.com/makenotion/cursor-notion-plugin/tree/main/skills/search Command: npx skills add https://github.com/makenotion/cursor-notion-plugin --skill search-makenotion
Notion search can be slow or noisy when you have large workspaces. This skill helps you quickly locate pages, databases, and content using natural-language queries and concise results.
Search my Notion workspace for pages or databases related to a keyword.
High-intent search queries and answers about installing and using this skill.
You can search your Notion workspace using natural-language queries to instantly locate pages and databases. The skill returns concise results with titles, types, and key fields, summarizing multiple matches into a scannable list.
Natural-language search works across both Notion pages and databases to surface relevant content. It operates against the Notion MCP server to locate entries and returns key fields, making it easy to find specific database records.
The best way to locate related content in a large Notion workspace is using natural-language search to quickly find pages and databases. It reduces noise by summarizing multiple results into a short list with titles and key fields for quick reference.
Yes, when multiple results are found, the search skill summarizes them into a short, scannable list showing titles, types, and key fields. This helps you quickly review and identify the most relevant Notion pages or databases.
If a Notion workspace search finds nothing, the skill offers query refinements to help you adjust your natural-language terms. This addresses the common problem of noisy or slow searches in large workspaces by suggesting better search approaches.
Yes, the skill operates against the Notion MCP server to locate pages, databases, and related content. This connection is required to execute natural-language searches and retrieve titles, types, and key fields from your workspace.
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