tenzir-docs

Query Tenzir documentation for TQL syntax, operators, and deployment configurations.

3|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/tenzir/skills --skill tenzir-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tenzir-docs
Source: https://github.com/tenzir/skills/tree/main/skills/tenzir-docs
Command: npx skills add https://github.com/tenzir/skills --skill tenzir-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users find specific information within the extensive Tenzir documentation, saving them time and effort when looking for answers about Tenzir's features, syntax, or deployment.

Core Features & Use Cases

  • Documentation Search: Quickly locate relevant sections of the Tenzir documentation based on user queries.
  • Contextual Information Retrieval: Provides detailed explanations and examples for TQL syntax, operators, functions, and integrations.
  • Use Case: A user asks, "How do I parse JSON data in Tenzir?" This Skill would find the relevant guide or operator reference and provide the necessary information.

Quick Start

Use the tenzir-docs skill to find information about TQL pipeline operators.

Frequently Asked Questions about tenzir-docs

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

FAQPage Schema
How do I parse JSON data in a Tenzir pipeline?

To parse JSON data in a Tenzir pipeline, you can use specific TQL operators designed for data parsing and normalization. The documentation provides detailed guides and examples for structuring these ingestion pipelines correctly.

What is TQL syntax and how do pipeline operators work?

TQL syntax is the query language used to build data pipelines in Tenzir, utilizing various operators to process events. The documentation offers comprehensive references explaining each operator's function and how to chain them effectively.

Does Tenzir support OCSF mapping for data normalization?

Yes, Tenzir supports OCSF mapping for data normalization, allowing you to standardize security events. The documentation provides operational guidance on configuring schemas and applying normalization functions to your data streams.

How do I configure Tenzir deployment settings and integrations?

Configuring Tenzir deployment settings and integrations is documented extensively, covering various environment setups. You can find specific references for connecting external systems and managing your deployment configurations.

Where can I find reference guides for Tenzir functions and operators?

Reference guides for Tenzir functions and operators are available within the documentation, providing detailed syntax and usage examples. You can query the knowledge base to quickly locate specific TQL commands and their parameters.

What are the limitations of TQL operators for data parsing?

The documentation outlines specific operational guidance and constraints for TQL operators used in data parsing and normalization. It is important to check the references for individual operator limitations and supported data formats.