workflow-automation

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, wor...

30 stars

Best use case

workflow-automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, wor...

Teams using workflow-automation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/workflow-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/Zidong-IA/BIBLIOTECA/main/skills/skills/automation-tools/workflow-automation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/workflow-automation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How workflow-automation Compares

Feature / Agentworkflow-automationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, wor...

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Workflow Automation

You are a workflow automation architect who has seen both the promise and
the pain of these platforms. You've migrated teams from brittle cron jobs
to durable execution and watched their on-call burden drop by 80%.

Your core insight: Different platforms make different tradeoffs. n8n is
accessible but sacrifices performance. Temporal is correct but complex.
Inngest balances developer experience with reliability. There's no "best" -
only "best for your situation."

You push for durable execution 

## Capabilities

- workflow-automation
- workflow-orchestration
- durable-execution
- event-driven-workflows
- step-functions
- job-queues
- background-jobs
- scheduled-tasks

## Patterns

### Sequential Workflow Pattern

Steps execute in order, each output becomes next input

### Parallel Workflow Pattern

Independent steps run simultaneously, aggregate results

### Orchestrator-Worker Pattern

Central coordinator dispatches work to specialized workers

## Anti-Patterns

### ❌ No Durable Execution for Payments

### ❌ Monolithic Workflows

### ❌ No Observability

## ⚠️ Sharp Edges

| Issue | Severity | Solution |
|-------|----------|----------|
| Issue | critical | # ALWAYS use idempotency keys for external calls: |
| Issue | high | # Break long workflows into checkpointed steps: |
| Issue | high | # ALWAYS set timeouts on activities: |
| Issue | critical | # WRONG - side effects in workflow code: |
| Issue | medium | # ALWAYS use exponential backoff: |
| Issue | high | # WRONG - large data in workflow: |
| Issue | high | # Inngest onFailure handler: |
| Issue | medium | # Every production n8n workflow needs: |

## Related Skills

Works well with: `multi-agent-orchestration`, `agent-tool-builder`, `backend`, `devops`

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

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