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cfo-acao-composta

Automate multi-step workflows with checkpointing and resume capabilities.

1|Updated May 5, 2026
Search Tags:#workflow#python#orchestration#checkpoint#cfo#multistep
One-click install
npx skills add https://github.com/MindOpsTeam/agente-cfo --skill cfo-acao-composta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cfo-acao-composta
Source: https://github.com/MindOpsTeam/agente-cfo/tree/main/skills/cfo-acao-composta
Command: npx skills add https://github.com/MindOpsTeam/agente-cfo --skill cfo-acao-composta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Gerencia fluxos de trabalho multi-step com checkpoints para retomada, garantindo continuidade mesmo em falhas de etapas.

Core Features & Use Cases

  • Orquestração de ações compostas entre várias etapas com persistência de estado.
  • Retomada automática de workflows após falhas, mantendo histórico de cada passo.
  • Persistência local de checkpoints para continuar de onde parou em sessões futuras.

Quick Start

Inicie um workflow com o comando iniciar_workflow.py --nome "nome-do-workflow" --steps "listar,confirmar,executar" para criar e acompanhar o processamento.

Frequently Asked Questions about cfo-acao-composta

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-step workflows with checkpointing and resume capabilities in Python?▼

Multi-step workflows with checkpointing and resume capabilities are automated by orchestrating composite actions through persistent state storage. This allows processes to automatically resume from the last successful checkpoint after failures, maintaining step history.

What is the best way to handle batch billing and delinquent account collections without losing progress?▼

Batch billing and delinquent account collections require ordered steps with state persistence to prevent data loss. Using a workflow orchestration approach with local checkpoints allows processes to recover and continue from the exact point of failure.

How do I start a multi-step workflow with named states for step-level reporting?▼

To start a multi-step workflow with named states, execute the initialization script with a defined workflow name and a comma-separated list of steps. This creates the process structure and enables tracking of step-level success or failure reporting.

Do I need Python 3 and persistent storage to run a multi-step workflow with checkpoints?▼

Python 3 and persistent storage are required to run a multi-step workflow with checkpoints. These prerequisites enable state persistence for local checkpoints, allowing the workflow to resume seamlessly in future sessions after interruptions.

Why does a multi-step workflow fail to resume correctly after a step interruption?▼

A multi-step workflow fails to resume correctly if persistent storage for checkpoints is missing or improperly configured. Proper state persistence is required to save the exact sequence of named states, ensuring recovery starts from the correct step.

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