Convert natural-language audience descriptions into validated, sized segments.
npx skills add https://github.com/lytics/agent-skills --skill audience-builder
Please help me install this Agent Skill. Skill: audience-builder Source: https://github.com/lytics/agent-skills/tree/main/audience-builder Command: npx skills add https://github.com/lytics/agent-skills --skill audience-builder
Converts natural-language audience descriptions into validated, sized, and ready-to-use segments, reducing guesswork and iteration.
Describe your target audience in natural language and I will generate a validated segment and present a confirmation gate.
High-intent search queries and answers about installing and using this skill.
Create audience segments from natural language by describing your target audience in plain text. The system parses your intent, discovers the data schema, generates a FilterQL segment, estimates size, and presents a confirmation gate for validation.
Update existing audience segments by re-running intent parsing and refining filters. The system processes your new natural language description and applies transparent feedback to adjust the segment parameters without manual rewriting.
Generate validated segments using configurable inputs including segment name, target table, kind, and tags. These flexible inputs allow the segment to integrate directly into analytics pipelines after the confirmation gate finalizes the sizing.
Schema discovery works automatically across common data schemas. The system inspects your target table structure to map available fields, ensuring the generated FilterQL filters accurately reflect your underlying data before segment sizing.
Size and validate segments before deployment using the confirmation gate. After converting your natural language description into a FilterQL segment, the system estimates the segment size and requires validation to finalize the result.
Natural language audience descriptions may fail to convert if the intent parsing cannot map the description to the discovered schema fields. Ensure your target table contains the relevant fields and re-run the intent parsing to refine the filters.
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