TQL stands for Tenzir Query Language, a domain-specific language designed for building data pipelines and performing high-performance transformations within the Tenzir platform.

Does it follow Tenzir best practices?

Yes, the skill is specifically instructed to strictly adhere to idiomatic TQL patterns and best practices as defined in the official Tenzir documentation.

How does this skill help with TQL syntax?

The skill has built-in knowledge of TQL types, expressions, and statements, and can spawn a documentation subagent to fetch live syntax details for any operator or function.

Can I use this for building security data pipelines?

Absolutely. This skill is ideal for writing the TQL required to process, filter, and transform security telemetry and observability data.

Tenzir TQL Writing

Name: Tenzir TQL Writing
Author: tenzir

bytenzir

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分析と監視

Generates idiomatic Tenzir Query Language (TQL) programs for sophisticated data pipelines and transformations.

概要

This skill enables Claude to architect, write, and optimize Tenzir Query Language (TQL) programs for advanced data processing tasks. By integrating directly with official Tenzir documentation, the skill ensures that all generated code adheres to idiomatic best practices for types, statements, and expressions. It is an essential tool for developers building telemetry pipelines or real-time data transformations, providing instant syntax guidance and operator lookups through a specialized documentation subagent.

主な機能

2 GitHub stars
Live documentation lookup via docs:reader subagent
Syntax validation for TQL expressions and statements
Data pipeline architecture and design guidance
Idiomatic TQL code generation
Optimization of complex data transformation logic

ユースケース

Building real-time security telemetry and observability pipelines
Debugging complex TQL query logic and operator usage
Transforming heterogeneous data sources into standardized formats

概要

主な機能

2 GitHub stars
Live documentation lookup via docs:reader subagent
Syntax validation for TQL expressions and statements
Data pipeline architecture and design guidance
Idiomatic TQL code generation
Optimization of complex data transformation logic

ユースケース

Building real-time security telemetry and observability pipelines
Debugging complex TQL query logic and operator usage
Transforming heterogeneous data sources into standardized formats