Automate OceanBase cluster root-cause analysis with a standard SOP.
npx skills add https://github.com/oceanbase/obdiag --skill obdiag-rca
Please help me install this Agent Skill. Skill: obdiag-rca Source: https://github.com/oceanbase/obdiag/tree/main/plugins/agent/skills/obdiag-rca Command: npx skills add https://github.com/oceanbase/obdiag --skill obdiag-rca
帮助运维人员在 OceanBase 集群的根因分析中提供统一的操作流程与降级分析路径，提高诊断的一致性和效率。
在检测到问题时，先执行 rca_run(scene=<scene_name>)，若未给出结论则按降级手动分析路径进行诊断。
High-intent search queries and answers about installing and using this skill.
You can diagnose long transactions or lock waits by triggering the automated RCA workflow, which applies a standardized SOP to identify the root cause and provide structured diagnostic conclusions.
When automated root-cause analysis yields no conclusion, you should follow the manual downgrade analysis path, which provides structured steps and on-demand data collection methods for further diagnosis.
This diagnostics process covers common OceanBase cluster failure scenarios including transaction timeouts, memory pressure, disconnections, DDL failures, and log disk full incidents.
Yes, the root-cause analysis SOP supports diagnosing DDL failures in OceanBase clusters by applying structured workflows and optional data collection components to isolate the failure cause.
The root-cause analysis workflow targets predefined scenarios like memory pressure and lock waits; incidents outside these defined scenes require manual downgrade analysis using the provided structured data collection steps.
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