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jirali

Perform Jira operations via a protocol-compliant CLI with JSON exchanges.

2|Updated Feb 22, 2026
Search Tags:#automation#cli#agent#json#jira#rich-text
One-click install
npx skills add https://github.com/weisberg/agent_tools --skill jirali
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jirali
Source: https://github.com/weisberg/agent_tools/tree/main/tools/jirali
Command: npx skills add https://github.com/weisberg/agent_tools --skill jirali

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a streamlined, protocol-compliant command-line tool enabling autonomous AI agents and human users to efficiently interact with Jira, reducing latency, complexity, and error-prone API handling.

Core Features & Use Cases

  • Structured Machine-First Communication: Emission of explicit JSON stdout and structured stderr for reliable automation.
  • Rich Issue Management: Create, view, edit, transition, and bulk-update Jira issues with minimal overhead.
  • Rich Text Handling: Convert Markdown to Atlassian Document Format (ADF) and vice versa, supporting rich comments and descriptions.
  • Natural Language Interaction: Expose high-level commands for querying, reporting, and managing Jira projects, sprints, and assets.
  • Use Case: Automate triaging new bug reports by extracting key information and updating issues directly from an agent script.

Quick Start

Use the jirali CLI to list recent issues in the ENG project and transition an issue from "In Progress" to "Review" with a single command.

Frequently Asked Questions about jirali

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

FAQPage Schema
How do I automate Jira issue management from a command-line interface?▼

Automate Jira issue management by using a deterministic command-line interface that enables creating, viewing, editing, and transitioning issues with strict JSON outputs and granular exit codes for reliable pipelines.

Can AI agents interact with Jira using structured JSON without complex API schemas?▼

Yes, AI agents can interact with Jira using structured JSON without complex API schemas by utilizing a protocol-compliant interface that enforces strict JSON stdout and structured stderr for reliable automation.

How do I convert Markdown to Atlassian Document Format for Jira descriptions?▼

Convert Markdown to Atlassian Document Format (ADF) and vice versa using built-in rich text handling features, enabling rich comments and descriptions within Jira issues directly from command-line operations.

What is the best way to bulk-update Jira issues in automation pipelines?▼

The best way to bulk-update Jira issues in automation pipelines is through a machine-first command-line interface that provides deterministic JSON exchanges and secure authentication without middleware overhead.

Does this Jira CLI tool support querying projects and sprints using natural language?▼

Yes, this Jira CLI tool supports querying projects and sprints by exposing high-level commands designed for natural language interaction, allowing AI agents and users to report and manage assets efficiently.

Why use a command-line tool for Jira automation instead of direct API integration?▼

Use a command-line tool for Jira automation to reduce latency and error-prone API handling, ensuring quick, reliable, and secure interaction through structured machine-first communication without middleware overhead.

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