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atpm-triage

Analyze TSSD tickets and generate triage briefs for PMs.

Updated Mar 26, 2026
Search Tags:#technical analysis#triage#ticket analysis#PM tool#TSSD
One-click install
npx skills add https://github.com/arjunrattan-lab-ai/AICopilot-Projects --skill atpm-triage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: atpm-triage
Source: https://github.com/arjunrattan-lab-ai/AICopilot-Projects/tree/main/00%20Workstreams/backup/skills/atpm-triage
Command: npx skills add https://github.com/arjunrattan-lab-ai/AICopilot-Projects --skill atpm-triage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Jira API, Confluence API, Glean, Snowflake, Salesforce, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the triage process for TSSD tickets, providing PMs with a detailed, technical analysis of the issue, saving time and improving accuracy.

Core Features & Use Cases

  • Ticket Analysis: Automatically reads and analyzes TSSD tickets, including comments and related Jira issues.
  • Technical Research: Researches the technical context, including related engineering tickets, Glean knowledge, Snowflake data, and customer context.
  • Triage Brief: Generates a comprehensive triage brief for PMs, detailing the issue, blast radius, impact, and next steps.
  • Use Case: A PM receives a TSSD ticket for triage. The Skill analyzes the ticket, researches the context, and produces a detailed brief that the PM can use to understand the issue and decide on the next steps.

Quick Start

Use the atpm-triage skill to analyze the TSSD ticket with key 'TSSD-12345'.

Frequently Asked Questions about atpm-triage

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

FAQPage Schema
How do I automate Jira ticket triage for technical product analysis?▼

You can automate Jira ticket triage by using a Skill that reads ticket details and comments, researches technical context across Confluence and Snowflake, and generates a triage brief detailing impact and next steps.

What is TSSD ticket triage and how does technical analysis work?▼

TSSD ticket triage involves analyzing support tickets to determine technical impact and next steps. The Skill automates this by extracting context from Jira, Confluence, Glean, Snowflake, and Salesforce to produce a detailed triage brief.

Do I need Jira API and Snowflake access to automate product ticket analysis?▼

Yes, full functionality requires access to Jira API, Confluence API, Glean, Snowflake, and Salesforce. These integrations allow the Skill to gather ticket details, engineering context, and customer data for comprehensive analysis.

Can I use Confluence and Glean to research technical context for Jira issues?▼

Yes, the Skill researches technical context by querying Confluence for documentation and Glean for internal knowledge, alongside analyzing related Jira issues and Snowflake data to build a complete picture of the ticket's blast radius.

What's the best way to generate a triage brief for product managers?▼

The best way to generate a PM triage brief is to automate the analysis process. The Skill reads the TSSD ticket, correlates data from Salesforce and Snowflake, and outputs a brief detailing the issue, blast radius, impact, and recommended next steps.

How do I analyze a TSSD ticket to find its blast radius and impact?▼

To analyze blast radius and impact, the Skill reads the TSSD ticket and cross-references it with related engineering tickets, customer context from Salesforce, and internal knowledge from Glean to produce a comprehensive triage brief.

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