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Zhangbai

Community

@crystalzhangbai · 中国

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4Public Repos
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14Published Skills

Tsinghua-Computational Law Microsoft-Cloud Solution Architect summer intern NanJing University of Posts and Telecommunication-Software Engineer

Skills Distribution
DomainCloud & Comp...Azure VM & IaaS Tr.. (40%)Kusto KQL Telemetr.. (25%)Network Packet & C.. (15%)AKS Cluster Diagno.. (10%)

Agent Skills by Zhangbai

Showing 14 vetted skills indexed across 1 GitHub repositories.

crystalzhangbaicrystalzhangbai

playwright-cli

Automate browser interactions and test web pages using Playwright CLI commands.

Community
Advanced
crystalzhangbaicrystalzhangbai

network-trace

Analyzes pcap, pcapng, tcpdump, and CSV capture files for TCP, IPsec, and ICMP issues.

Community
Advanced
crystalzhangbaicrystalzhangbai

css

Query Microsoft internal Kusto databases and automate browser workflows for support case operations.

Community
Advanced
crystalzhangbaicrystalzhangbai

confidence-score

Appends structured confidence assessment tables to every naniteAgent troubleshooting response.

Community
Intermediate
crystalzhangbaicrystalzhangbai

wiki

Guides creation of progressive-disclosure Agent Skills for Azure wiki and MCP knowledge bases.

Community
Intermediate
crystalzhangbaicrystalzhangbai

aks

Diagnose Azure Kubernetes Service cluster issues using Kusto queries and wiki search.

Community
Advanced
crystalzhangbaicrystalzhangbai

b01

Provides KQL, MDM, and DGrep queries for troubleshooting Azure Networking resources.

Community
Advanced
crystalzhangbaicrystalzhangbai

vm-log-analyzer

Analyzes Azure VM guest OS logs, SAP HANA traces, and packet captures for root cause diagnosis.

Community
Advanced
crystalzhangbaicrystalzhangbai

vm-knowledge-search

Searches Azure VM troubleshooting knowledge across internal wikis, MS Learn, ICM, and vendor KBs.

Community
Advanced
crystalzhangbaicrystalzhangbai

vm-kusto-query

Investigate Azure VM, disk, storage, and networking incidents using Kusto KQL queries.

Community
Advanced
crystalzhangbaicrystalzhangbai

vm-performance-diagnosis

Diagnose Azure VM performance bottlenecks from private IP and time window metrics.

Community
Intermediate
crystalzhangbaicrystalzhangbai

vm-lab

Validate commands and troubleshooting steps by executing them on real Azure lab VMs.

Community
Advanced
crystalzhangbaicrystalzhangbai

vm-resource-identification

Resolve Azure VM identity from resource ID, name, or private IP.

Community
Basic
crystalzhangbaicrystalzhangbai

vm-case-triage

Triage Azure VM and Storage support cases into structured troubleshooting directions and routing recommendations.

Community
Advanced

Frequently Asked Questions About Zhangbai

FAQPage Schema
What tasks can I accomplish with Zhangbai's Azure support skills?▼

You can analyze Azure VM logs and packet captures, run Kusto/KQL investigations across internal clusters like AzureCM and CRP, troubleshoot AKS clusters, triage and route support cases, validate fixes in a live Azure lab, and automate browser testing with Playwright.

Who are these skills designed for?▼

They target Microsoft CSS (Customer Service & Support) engineers and cloud solution architects handling Azure VM, Storage, Networking, and AKS incidents. Bilingual Chinese/English triggers support PRC-based support teams working ICM cases and DFM customer replies.

What are the runtime prerequisites and dependencies?▼

Skills require MCP servers defined in plugins/naniteagent/.mcp.json, including kusto/azuremcp, csswiki, mslearn, azurewiki, and optionally eagleai and icm. Read access to Kusto databases such as AKSprod, AKSinfra, and AzureCM is needed; Playwright skills require npx/npm.

Are these skills open source and what license applies?▼

The aks and vm-performance-diagnosis skills carry an explicit MIT license. Other skills in the manifest do not declare a license, and several depend on Microsoft-internal resources (csswiki, ICM, Geneva Metrics), so they are usable only within Microsoft's support environment.

How does the confidence-score skill work with troubleshooting output?▼

It mandates appending a structured confidence assessment table to every response, scoring Data Source, Query Accuracy, and Diagnosis dimensions with green/yellow/red ratings. It serves as the authoritative scoring reference across all naniteAgent troubleshooting outputs.