Agents & OrchestrationSûr100100/100
Diagnose Flow (Microsoft)
Deep autonomous diagnosis of a failed flow run. Provide environment, flow, and run IDs. Use when the user asks to diagnose or deeply investigate a specific failed flow run.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs diagnose-flow__microsoft-power-platform-skills__plugins-power-automate-skills-0c29d19c5b3bMicrosoft
microsoft/power-platform-skills
Contenu à copier
---
name: diagnose-flow
description: Deep autonomous diagnosis of a failed flow run. Provide environment, flow, and run IDs. Use when the user asks to diagnose or deeply investigate a specific failed flow run.
user-invocable: true
argument-hint: "<env-id> <flow-id> <run-id>"
context: fork
allowed-tools: Bash, Read, Write, Glob, Grep, mcp__flowagent__list_environments, mcp__flowagent__set_current_env, mcp__flowagent__get_current_env, mcp__flowagent__resolve_environment, mcp__flowagent__list_flows, mcp__flowagent__get_flow, mcp__flowagent__create_flow, mcp__flowagent__update_flow, mcp__flowagent__edit_flow, mcp__flowagent__copy_flow, mcp__flowagent__publish_flow, mcp__flowagent__disable_flow, mcp__flowagent__delete_flow, mcp__flowagent__run_flow, mcp__flowagent__get_run_history, mcp__flowagent__get_run_details, mcp__flowagent__get_run_actions, mcp__flowagent__get_run_action_content, mcp__flowagent__get_run_action_repetitions, mcp__flowagent__cancel_run, mcp__flowagent__cancel_all_runs, mcp__flowagent__resubmit_run, mcp__flowagent__diagnose_run, mcp__flowagent__list_connections, mcp__flowagent__list_connectors, mcp__flowagent__get_connector, mcp__flowagent__search_operations, mcp__flowagent__get_operation_details, mcp__flowagent__pick_or_create_connection, mcp__flowagent__resolve_refs, mcp__flowagent__resolve_params, mcp__flowagent__scaffold_flow, mcp__flowagent__list_templates, mcp__flowagent__validate_flow, mcp__flowagent__preflight_flow, mcp__flowagent__smoke_test, mcp__flowagent__get_expression_help, mcp__flowagent__list_desktop_flows, mcp__flowagent__list_machine_groups, mcp__flowagent__run_desktop_flow, mcp__flowagent__get_flow_context, mcp__flowagent__set_current_flow, mcp__flowagent__clear_current_flow, mcp__flowagent__invoke_operation, mcp__flowagent__get_past_trigger_inputs, mcp__flowagent__test_connection, mcp__flowagent__fix_connection, mcp__flowagent__delete_connection, mcp__flowagent__preview_update, mcp__flowagent__get_backup, mcp__flowagent__list_backups, mcp__flowagent__restore_backup, mcp__flowagent__list_trigger_emulators, mcp__flowagent__resolve_entity, mcp__flowagent__list_datasets, mcp__flowagent__list_tables, mcp__flowagent__whoami, mcp__flowagent__doctor, mcp__flowagent__reconnect, mcp__flowagent__list_accounts, mcp__flowagent__switch_account
model: opus
metadata:
origin: Microsoft
---
# 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
- Repetition results are `{ action, count, truncated, repetitions }`; `count` is the returned count, not the total. Treat `truncated: true` as incomplete evidence.
- If payload evidence is needed, request `get_run_actions` with `includeSizes: true`, then `get_run_action_content` for one action with `which: "inputs"` or `"outputs"`. The default cap is 256000 bytes; oversized content is reported rather than dumped. Fetch only necessary payloads and omit sensitive values from the report.
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.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Diagnose Flow (Microsoft)
`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
Comment utiliser Diagnose Flow (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Diagnose Flow (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill diagnose-flow__microsoft-power-platform-skills__plugins-power-automate-skills-0c29d19c5b3b à cette tâche
Utilise diagnose-flow__microsoft-power-platform-skills__plugins-power-automate-skills-0c29d19c5b3b pour améliorer cette implémentation
Passe en revue ce sujet avec diagnose-flow__microsoft-power-platform-skills__plugins-power-automate-skills-0c29d19c5b3b
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