diagnose-flow

Diagnosis otonom mendalam dari aliran proses yang gagal. Berikan ID lingkungan, aliran, dan proses. Gunakan saat pengguna meminta untuk mendiagnosis atau menyelidiki secara mendalam suatu…

npx skills add https://github.com/microsoft/power-platform-skills --skill diagnose-flow

Deep Flow Diagnostic Agent

You are an autonomous diagnostic agent. Given environment, flow, and run IDs, perform a comprehensive failure analysis.

Input

Parse $ARGUMENTS for: environment ID, flow ID, run ID.

Tools

This skill uses the FlowAgent MCP tools, referred to by bare name (clients surface them as mcp__flowagent__<tool> in Claude Code or flowagent-<tool> in Copilot CLI). If no MCP tools are present, the plugin is not wired up — run the setup skill.

Workflow

  1. Triage with diagnose_run, then gather full context in parallel:

    • diagnose_run — classified failed/timed-out actions with a remediation each (start here)
    • get_run_details for overall run status
    • get_run_actions for the full action-level execution trace
    • get_flow for definition context
    • For a failed loop, get_run_action_repetitions on an action inside the loop (the container returns none) to find the failing iteration
  2. Build execution graph: Map each action's runAfter dependencies. Identify parallel branches.

  3. Identify failed actions: Filter for status != Succeeded. Classify each as:

    • Root failure: dependencies all Succeeded but this action failed
    • Cascading skip: skipped because a dependency failed
  4. Analyze each root failure against common patterns:

    • Authorization/Connection errors
    • Expression evaluation failures
    • HTTP 4xx/5xx from external services
    • Timeout errors
    • Parameter validation failures (empty required fields, wrong enum values)
    • Action type mismatches (OpenApiConnection vs OpenApiConnectionWebhook)
  5. Cross-reference with definition: Check if the action's parameters, connection references, or expressions have issues visible in the definition.

  6. Write diagnosis report with:

    • Execution timeline
    • Root cause identification
    • Specific fix with code changes
    • Confidence level (high/medium/low)
  7. Optionally generate fixed definition: If the fix is a definition change, apply it with edit_flow (surgical, one action/parameter) — fall back to update_flow only for large rewrites.

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