Durable execution infrastructure for reliable, fault-tolerant workflows across distributed systems.
Works with
Covers sequential, parallel, and orchestrator-worker patterns with support for event-driven and scheduled task execution
Compares four major platforms (n8n, Temporal, Inngest, DBOS) with explicit tradeoffs between accessibility, performance, and operational complexity
Highlights critical sharp edges: idempotency keys for external calls, checkpointed steps, activity timeouts, and expone
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionworkflow-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches workflow-automation from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate workflow-automation. Access via /workflow-automation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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
Steps execute in order, each output becomes next input
Independent steps run simultaneously, aggregate results
Central coordinator dispatches work to specialized workers
| 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: |
Works well with: multi-agent-orchestration, agent-tool-builder, backend, devops, dbos-*
This skill is applicable to execute the workflow or actions described in the overview.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: workflow-automation is focused, and the summary matches what you get after install.
workflow-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: workflow-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
workflow-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
workflow-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
workflow-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: workflow-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend workflow-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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