Automation Flows

Workflow Exception and Recovery Manager

Design automation recovery paths for failures, retries, dead letters, manual intervention, evidence, ownership, and safe resumption.

Last updated Jul 12, 2026
FreeClaudeChatGPT
TL;DR

Workflow Exception and Recovery Manager is a free AI skill for automation flows. Design automation recovery paths for failures, retries, dead letters, manual intervention, evidence, ownership, and safe resumption. It works with Claude, ChatGPT and is ready to use out of the box.

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About this skill

Design automation recovery paths for failures, retries, dead letters, manual intervention, evidence, ownership, and safe resumption. It applies a structured professional workflow, makes assumptions visible, and produces implementation-ready guidance with ownership, controls, edge cases, and validation.

What it does

The skill analyzes goals, users, workflows, evidence, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.

What is included

  • Workflow context
  • Failure taxonomy
  • Detection rules
  • Retry policy
  • Manual intervention
  • Dead-letter handling
  • Data consistency
  • Recovery ownership

How to use it

1. Download the workflow-exception-and-recovery-manager-SKILL.md file
2. Upload it to your AI, operational, or project workspace
3. Provide the current process, users, goals, evidence, and constraints
4. Add ownership, approval, risk, and implementation requirements
5. Use the output for design, review, testing, and rollout

Examples

Example input
Design recovery logic for an order workflow that can fail during payment, inventory allocation, shipping-label creation, or customer notification.
Example output
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.

FAQ

What is this skill for?
It creates a professional workflow exception and recovery manager deliverable.
Will it invent facts or results?
No. Missing evidence, assumptions, and unknowns are labeled clearly.
Can it improve an existing process?
Yes. It can audit the current process before redesigning it.
Does it include edge cases?
Yes. Exceptions, failures, escalation, and fallback behavior are included.
Can it assign ownership?
Yes. Roles, decision rights, and handoffs are made explicit.
How is this different from generic advice?
It produces a structured, testable, implementation-ready system.

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