# 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... Use when this capability is needed.

- Skill: `tomevault-io/workflow-automation-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/workflow-automation-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/workflow-automation-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/workflow-automation-2

---


# 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. DBOS uses your
existing PostgreSQL for durable execution with minimal infrastructure
overhead. 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`, `dbos-*`

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

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

```bash
# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Workflow Automation"
```

### Storing Results

After completing work, store workflow/automation decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags workflow-automation workflow
```

### Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>
```

### Playbook Engine

Combine this skill with others using the Playbook Engine (`execution/workflow_engine.py`) for guided multi-step automation with progress tracking.

<!-- AGI-INTEGRATION-END -->

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-13 -->