Skill

Manage Jira Issues Programmatically

A LlamaIndex tool that performs Jira issue operations including search, creation, commenting, deletion, and modifications of summary, assignee, status, and due

Works with jira

77
Spark score
out of 100
Updated 3 months ago
Version 1.0.0
Models

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Why it matters

Automate your Jira issue management by programmatically searching, creating, updating, and deleting issues. Streamline bug tracking and project management tasks directly from your applications.

Outcomes

What it gets done

01

Create new Jira issues with specified details.

02

Search for existing Jira issues based on various criteria.

03

Update issue summaries, assignees, statuses, and due dates.

04

Delete Jira issues.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/li-tool-tools-jira-issue | bash

Capabilities

What this skill does

Extract

Pulls structured data fields from unstructured text.

Notify

Sends alerts or messages via email, Slack, or other channels.

Overview

Jira Issue Tool

What it does

Jira Issue Tool

How it connects

When you need to perform Jira issue operations from within a LlamaIndex agent workflow

Source README

Jira Issue Tool

This tool performs basic Jira issue operations, including search, creation, commentation, deletion, and modifications of summary, assignee, task status, and due date.

Usage

Example:

from llama_index.tools.jira_issue import JiraIssueToolSpec
from llama_index.llms.openai import OpenAI

llm = OpenAI(model="gpt-4o-mini", api_key=OPENAI_API_KEY, temperature=0.0)

tool_spec = JiraIssueToolSpec(
    server_url=SERVER, email=EMAIL, api_token=API_KEY
)

agent_name = "Jira Issue Agent"
project_key = "YOUR_PROJECT_KEY"
system_prompt = f"""You are a helpful assistant that answers JIRA-related questions with a list of JIRA tools available for use. Your project key is '{project_key}'."""

agent = ReActAgent.from_tools(
    jira_tools,
    llm=llm,
    callback_manager=callback_manager,
    name=agent_name,
    system_prompt=system_prompt,
    verbose=True,
    max_iterations=20,
)

### Multi-step bug issue creation
response = await agent.achat(
    "Create a test bug due by Aug 2 2025 and assign it to John Doe. this bug addresses the wrong temperature setting in the LLMs."
)
print(response)

### Search & Reassign an issue
response = await agent.achat(
    "There's an issue about building a jira agent, assigned to John Doe. Find it and reassign it to Jane Doe."
)
print(response)

### Search & Mark an issue 'Done'
response = await agent.achat(
    "Find an issue about llamaindex due on Aug 2 2025. Change its status to Done."
)
print(response)

### Delete issues
response = await agent.achat("Delete all issues assigned to John Doe")
print(response)

Discussion

Questions & comments · 0

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