数据与研究

troubleshooting-flows

celigo/ai

Diagnose and resolve Celigo flow failures -- total failures, partial errors, stuck jobs, empty runs, and performance issues. Use when a flow is failing, producing errors, returning no data, or running slowly.

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安装命令

npx skills add https://github.com/celigo/ai --skill troubleshooting-flows

SKILL.md

Troubleshooting Flows

A flow is broken when it fails to move data correctly. This skill covers systematic diagnosis: identifying the problem type, isolating the failing step, inspecting errors, and resolving them.

Troubleshooting concerns:

  • Job status -- understanding what completed, failed, canceled, and retrying mean for the flow
  • Error analysis -- grouping errors by pattern to find root causes instead of reading them one-by-one
  • Request/response inspection -- seeing exactly what was sent and returned at each step
  • Execution logs -- record-level tracing through every stage of the pipeline
  • Retry and resolution -- fixing error data and retrying vs bulk resolving
  • Delta/state issues -- lastExportDateTime drift, stuck deltas, re-processing windows

How to Run the Steps

This skill names each diagnostic step by what it reads or changes; the exact calls depend on how you reach the account. Read the one reference that matches your tools -- both follow the step numbers of the Diagnostic Workflow below: