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Get Started Free →n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
.claude/skills/nicepkg-n8n-skills/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | 62% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 45% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 39% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -33% | 0% |
This skill helps with:
This skill includes:
Here are some common workflow patterns you can use as a starting point:
Fetch data from APIs and process it
Nodes used:
Example: Use HTTP Request node to fetch data from external APIs, Set node to transform formats, and IF node for conditional logic
Monitor emails and auto-respond or forward
Nodes used:
Example: Use Email Trigger to monitor inbox, IF node to filter specific conditions, and Gmail node to auto-reply or forward
Sync data between different systems
Nodes used:
Example: Scheduled trigger to read data from one database, transform it, and write to another database
Receive external webhooks and trigger actions
Nodes used:
Example: Receive webhook events, process data, and send notifications to Slack or other systems
Use AI models to process and generate content
Nodes used:
Example: Build AI assistants to handle user queries, integrate vector databases for semantic search
Automatically process and transform files
Nodes used:
Example: Monitor Google Drive for new files, extract and process content, then upload to Dropbox
We have collected 20 popular workflow templates from n8n.io, categorized by use case:
See the complete template index for all available templates.
This skill pack project is licensed under the MIT License. See: https://github.com/haunchen/n8n-skills/blob/main/LICENSE
This is an unofficial educational project and is not affiliated with n8n GmbH.
This skill content is generated based on the following resources:
For detailed attribution information, please refer to the ATTRIBUTIONS.md file in the project.
n8n is an open-source workflow automation platform developed and maintained by n8n GmbH.
When using n8n software, you must comply with n8n's license terms. See: https://github.com/n8n-io/n8n/blob/master/LICENSE.md
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-11 | fail→pass | 4,457 | 1,460 | -67% | 1 | 1 | 0% | 723 | 1,174 | +62% | 0 | 0 | — |
case-01 | pass→pass | 16,423 | 11,616 | -29% | 1 | 1 | 0% | 2,564 | 2,837 | +11% | 0 | 0 | — |
case-02 | pass→pass | 5,563 | 4,718 | -15% | 1 | 1 | 0% | 914 | 1,750 | +91% | 0 | 0 | — |
case-03 | pass→pass | 3,109 | 3,684 | +18% | 1 | 1 | 0% | 447 | 1,534 | +243% | 0 | 0 | — |
case-04 | pass→pass | 4,162 | 4,112 | -1% | 1 | 1 | 0% | 638 | 1,534 | +140% | 0 | 0 | — |
case-05 | pass→pass | 6,932 | 3,712 | -46% | 1 | 1 | 0% | 1,138 | 1,550 | +36% | 0 | 0 | — |
case-06 | pass→pass | 3,639 | 4,827 | +33% | 1 | 1 | 0% | 605 | 1,764 | +192% | 0 | 0 | — |
case-07 | pass→pass | 10,416 | 9,194 | -12% | 1 | 1 | 0% | 1,735 | 2,491 | +44% | 0 | 0 | — |
case-08 | pass→pass | 5,793 | 4,028 | -30% | 1 | 1 | 0% | 869 | 1,657 | +91% | 0 | 0 | — |
case-09 | pass→pass | 4,353 | 4,919 | +13% | 1 | 1 | 0% | 680 | 1,688 | +148% | 0 | 0 | — |
case-10 | pass→pass | 7,265 | 8,170 | +12% | 1 | 1 | 0% | 1,111 | 2,288 | +106% | 0 | 0 | — |
case-12 | fail→pass | 6,301 | 2,711 | -57% | 1 | 1 | 0% | 966 | 1,404 | +45% | 0 | 0 | — |
case-13 | fail→pass | 5,884 | 2,010 | -66% | 1 | 1 | 0% | 921 | 1,276 | +39% | 0 | 0 | — |
case-14 | fail→pass | 11,552 | 2,526 | -78% | 1 | 1 | 0% | 1,611 | 1,357 | -16% | 0 | 0 | — |
case-15 | fail→pass | 11,380 | 2,188 | -81% | 1 | 1 | 0% | 1,867 | 1,242 | -33% | 0 | 0 | — |
case-16 | pass→pass | 7,266 | 2,795 | -62% | 1 | 1 | 0% | 1,094 | 1,400 | +28% | 0 | 0 | — |
case-17 | pass→pass | 3,717 | 3,877 | +4% | 1 | 1 | 0% | 549 | 1,518 | +177% | 0 | 0 | — |
case-18 | pass→pass | 3,975 | 3,333 | -16% | 1 | 1 | 0% | 559 | 1,482 | +165% | 0 | 0 | — |
case-19 | pass→pass | 6,405 | 5,050 | -21% | 1 | 1 | 0% | 1,030 | 1,741 | +69% | 0 | 0 | — |
case-20 | pass→pass | 14,425 | 12,248 | -15% | 1 | 1 | 0% | 2,563 | 3,342 | +30% | 0 | 0 | — |
case-21 | pass→pass | 15,170 | 16,433 | +8% | 1 | 1 | 0% | 2,713 | 4,040 | +49% | 0 | 0 | — |
case-22 | pass→pass | 13,883 | 14,665 | +6% | 1 | 1 | 0% | 2,785 | 3,929 | +41% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +23 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.