filterql-builder

Translate structured conditions into valid FilterQL expressions with AND/OR groups.

4|1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/lytics/agent-skills --skill filterql-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: filterql-builder
Source: https://github.com/lytics/agent-skills/tree/main/filterql-builder
Command: npx skills add https://github.com/lytics/agent-skills --skill filterql-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translate structured conditions into valid FilterQL expressions. This section describes how to convert field/operator/value tuples into a syntactically correct FilterQL string, enabling dynamic filtering without manual scripting.

Core Features & Use Cases

  • Maps field types and operators to FilterQL syntax using a deterministic translation matrix.
  • Supports AND/OR/NOT groupings to compose complex filters for real-world data queries.
  • Generates a slug-friendly alias for the target table and validates the final FilterQL.
  • Use Case: Build and validate filters over user data, events, or logs before deployment.

Quick Start

Provide a list of field/operator/value conditions and grouping; the tool outputs a valid FilterQL expression.

Frequently Asked Questions about filterql-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build FilterQL queries from structured conditions?

To build FilterQL queries, you translate structured field, operator, and value tuples into a syntactically correct FilterQL string using a deterministic translation matrix, enabling dynamic filtering without manual scripting.

What is the best way to compose AND/OR groupings for data queries in FilterQL?

Composing AND/OR groupings for data queries in FilterQL involves combining multiple field and operator conditions into nested logical structures, allowing you to construct complex filters for real-world user data and events.

Can I validate FilterQL syntax and generate a slug-friendly alias before deployment?

You can validate FilterQL syntax and generate a slug-friendly alias for the target table prior to deployment, ensuring that your constructed data filters are syntactically correct and environment-agnostic.

Does building FilterQL filters require external dependencies or specific environment setup?

Building FilterQL filters requires no external dependencies or specific environment setup, utilizing a dependency-light and environment-agnostic implementation to construct and validate data query conditions.

What field types and operators are supported for FilterQL condition mapping?

FilterQL condition mapping supports field types and operators for equality, containment, and set membership checks, mapping them to the correct syntax for filtering user data, events, or logs.