fetch-jira-qa-notes

Extract QA Notes from Jira custom fields and render them as Markdown.

Updated Aug 6, 2025

Search Tags:#jira #atlassian #data-extraction #adf #qa-notes #customfield-10312 #issue-processing

Ready to run

npx skills add https://github.com/fabiano001/claude-config --skill fetch-jira-qa-notes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fetch-jira-qa-notes
Source: https://github.com/fabiano001/claude-config/tree/main/skills/fetch-jira-qa-notes
Command: npx skills add https://github.com/fabiano001/claude-config --skill fetch-jira-qa-notes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fetches QA Notes from a Jira ticket's custom field (customfield_10312) and renders them in readable Markdown for review and verification.

Core Features & Use Cases

Retrieve a Jira issue using mcp__atlassian__getJiraIssue
Extract QA Notes from customfield_10312 (ADF JSON) and render as Markdown
Handle empty or truncated fields by re-fetching with mcp__atlassian__fetch and presenting structured output
Present QA Notes with preserved headings, links, and lists for easy review

Quick Start

Ask the assistant to fetch QA Notes from a Jira ticket like TRIDENT-813 and render them in Markdown.

Frequently Asked Questions about fetch-jira-qa-notes

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

FAQPage Schema

How do I extract QA Notes from a Jira custom field and render them as Markdown?▼

To extract QA Notes from a Jira custom field, you need to retrieve the issue and parse the Atlassian Document Format stored in customfield_10312 into readable Markdown. This process preserves headings, links, and lists for rapid QA verification and review.

What is the best way to handle empty or truncated Jira custom fields during data extraction?▼

When Jira custom fields appear empty or truncated during data extraction, you can re-fetch the issue data using the Atlassian fetch API. This retrieves the complete Atlassian Document Format content, ensuring your structured output avoids missing information during issue processing.

Does this Jira data extraction approach work with Atlassian Document Format elements?▼

Yes, this Jira data extraction approach fully supports Atlassian Document Format elements. It parses the ADF JSON from the custom fields and renders the structured content, including headings, links, and lists, into readable Markdown for easy QA review.

How do I retrieve a specific Jira issue using its issue key for QA verification?▼

To retrieve a specific Jira issue for QA verification, you query the issue using its unique key, such as TRIDENT-813. The system then fetches the ticket data, validates the accessible Atlassian resources, and extracts the relevant QA notes from the designated custom field.

Why do I need to validate accessible Atlassian resources before fetching Jira issue data?▼

Validating accessible Atlassian resources before fetching Jira issue data ensures the user has the correct permissions to access the target ticket. This prerequisite check confirms resource availability, preventing unauthorized retrieval errors during the QA notes extraction process.