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oncall-toolkit

Automate TiDB Cloud oncall ticket management across Jira and Pingkai platforms.

Updated Jun 3, 2026
Search Tags:#reporting#diagnosis#jira#oncall#tidb#clinic#pingkai
One-click install
npx skills add https://github.com/alex-quan-001/nutshell-skills --skill oncall-toolkit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oncall-toolkit
Source: https://github.com/alex-quan-001/nutshell-skills/tree/main/skills/utilities/oncall-toolkit
Command: npx skills add https://github.com/alex-quan-001/nutshell-skills --skill oncall-toolkit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the tedious manual work of managing TiDB Cloud oncall tickets across Jira and Pingkai, automating report generation, root cause analysis, diagnosis routing, and ticket lifecycle operations for oncall engineers.

Core Features & Use Cases

  • Multi-ticket Reporting & RCA: Generate standardized English reports and root cause analysis payloads for Jira TCOC/GTOC tickets and Pingkai support tickets, using only assignee and L2 assignee comments to avoid speculative conclusions.
  • Evidence-Prioritized Diagnosis: Analyze individual tickets to extract slow logs, Clinic monitoring bundles, and Grafana metrics, then route to specialized TiKV/TiDB diagnosis skills automatically.
  • Evaluator-Ready Case Discovery: Build benchmark-ready case sets for TiKV slow incident evaluation, filtering candidates by Clinic link availability and owner scope to support diagnosis skill improvement.
  • Use Case: An oncall engineer can use this Skill to compile a weekly storage oncall report covering PD, TXN, and TiKV components from both Jira and Pingkai tickets in seconds, instead of manually aggregating data from multiple platforms.

Quick Start

Use the oncall-toolkit skill to generate a weekly storage oncall report for the last 7 days covering PD, TXN, and TiKV components from Jira and Pingkai tickets.

Frequently Asked Questions about oncall-toolkit

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

FAQPage Schema
How do I automate TiDB Cloud oncall ticket management and reporting?▼

Automate TiDB Cloud oncall ticket management by using this skill to generate standardized reports and root cause analysis across Jira and Pingkai platforms. It extracts assignee and L2 comments to build evidence-prioritized diagnoses without speculative conclusions.

Can I generate a weekly storage oncall report covering PD, TXN, and TiKV components?▼

Yes, you can generate a weekly storage oncall report covering PD, TXN, and TiKV components. The skill aggregates ticket data from both Jira and Pingkai platforms automatically, replacing manual data collection and report formatting workflows.

How does incident diagnosis routing work with Clinic and Grafana evidence?▼

Incident diagnosis routing works by extracting slow logs, Clinic monitoring bundles, and Grafana metrics from individual tickets. The skill then automatically routes this prioritized evidence to specialized TiKV or TiDB diagnosis skills for analysis.

Do I need Jira or Pingkai API access to generate root cause analysis payloads?▼

You need access to Jira and Pingkai platforms to generate root cause analysis payloads. The skill relies on assignee and L2 assignee comments from these platforms to ensure accurate, non-speculative RCA generation for TiDB Cloud oncall tickets.

What is the best way to build benchmark-ready case sets for TiKV slow incident evaluation?▼

Build benchmark-ready TiKV slow incident case sets by filtering candidate tickets based on Clinic link availability and owner scope. The skill constructs these cases with strict replay input boundaries to support diagnosis skill improvement and evaluator case discovery.

Does the oncall-toolkit replace manual report generation for TiDB Cloud tickets?▼

Yes, the oncall-toolkit replaces manual report generation for TiDB Cloud tickets. It automates report and RCA generation, incident diagnosis routing, and ticket closure operations across Jira and Pingkai, outputting standardized English reports for oncall engineers.

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