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...
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/workflow-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How workflow-automation Compares
| Feature / Agent | workflow-automation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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