Borrowing it
Nothing to install: this file belongs to gabry-ts/n8n-starter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gabry-ts/n8n-starter/main/.claude/skills/n8n-skills/SKILL.mdgit clone --depth 1 https://github.com/gabry-ts/n8n-starterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gabry-ts/n8n-starter/n8n-skills)<a href="https://agentmods.dev/skills/gabry-ts/n8n-starter/n8n-skills"><img src="https://agentmods.dev/badge/skills/gabry-ts/n8n-starter/n8n-skills/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gabry-ts/n8n-starter/n8n-skills"><img src="https://agentmods.dev/badge/skills/gabry-ts/n8n-starter/n8n-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.01005 |
| Opus 5 | $0.00037 | $0.00502 |
| Sonnet 5 | $0.00015 | $0.00201 |
| Haiku 4.5 | $0.00007 | $0.00101 |
Grade A, and why
n8n-skills scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to n8n-skills — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Workflow Automation Skill Pack
Overview
This skill helps with:
- Understanding n8n node functionality and usage
- Finding nodes suitable for specific tasks
- Learning common workflow patterns
- Getting node configuration examples
- Solving workflow design problems
This skill includes:
- Detailed information on the 10 most commonly used built-in n8n nodes
- 30+ popular community packages for extended functionality
- Node configuration examples and best practices
- Common workflow patterns
- Node categorization and indexing for both built-in and community nodes
Table of Contents
Common Workflow Patterns
Here are some common workflow patterns you can use as a starting point:
1. HTTP Data Fetching
Fetch data from APIs and process it
Nodes used:
- HTTP Request
- Set
- IF
Example: Use HTTP Request node to fetch data from external APIs, Set node to transform formats, and IF node for conditional logic
2. Email Automation
Monitor emails and auto-respond or forward
Nodes used:
- Email Trigger (IMAP)
- Gmail
- IF
Example: Use Email Trigger to monitor inbox, IF node to filter specific conditions, and Gmail node to auto-reply or forward
3. Database Synchronization
Sync data between different systems
Nodes used:
- Schedule Trigger
- HTTP Request
- Postgres
- MySQL
Example: Scheduled trigger to read data from one database, transform it, and write to another database
4. Webhook Processing
Receive external webhooks and trigger actions
Nodes used:
- Webhook
- Set
- HTTP Request
- Slack
Example: Receive webhook events, process data, and send notifications to Slack or other systems
5. AI Assistant Integration
Use AI models to process and generate content
Nodes used:
- AI Agent
- OpenAI
- Vector Store
- Embeddings OpenAI
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- resources/community/apify-n8n-nodes-apify.md 3.5 KB
- resources/community/devlikeapro-n8n-nodes-chatwoot.md 1.9 KB
- resources/community/devlikeapro-n8n-nodes-waha.md 2.4 KB
- resources/community/elevenlabs-n8n-nodes-elevenlabs.md 1.9 KB
- resources/community/mendable-n8n-nodes-firecrawl.md 2.0 KB
- resources/community/n8n-nodes-aistudio.md 1.2 KB
- resources/community/n8n-nodes-apify.md 8.9 KB
- resources/community/n8n-nodes-chatwoot.md 1.7 KB
- resources/community/n8n-nodes-cronlytic.md 1.2 KB
- resources/community/n8n-nodes-datastore.md 1.6 KB
- resources/community/n8n-nodes-deepseek.md 1.6 KB
- resources/community/n8n-nodes-elevenlabs.md 1.8 KB
- resources/community/n8n-nodes-evolution-api-media-downloader.md 1.2 KB
- resources/community/n8n-nodes-evolution-api.md 2.4 KB
- resources/community/n8n-nodes-firecrawl.md 2.4 KB
- resources/community/n8n-nodes-globals.md 1.1 KB
- resources/community/n8n-nodes-imap.md 2.1 KB
- resources/community/n8n-nodes-kommo.md 1.4 KB
- resources/community/n8n-nodes-mcp.md 1.8 KB
- resources/community/n8n-nodes-mtai-zalo-test-trial.md 7.3 KB
- resources/community/n8n-nodes-pdfkit.md 1.2 KB
- resources/community/n8n-nodes-puppeteer.md 2.9 KB
- resources/community/n8n-nodes-qrcode.md 999 B
- resources/community/n8n-nodes-rd-station-crm.md 15 KB
- resources/community/n8n-nodes-serpapi.md 1.9 KB
- resources/community/n8n-nodes-text-manipulation.md 1.1 KB
- resources/community/n8n-nodes-thong-zalo-test-trial.md 496 B
- resources/community/n8n-nodes-zohozeptomail.md 1.7 KB
- resources/community/README.md 3.7 KB
- resources/community/splainez-n8n-nodes-phonenumber-parser.md 1.3 KB
- resources/community/tavily-n8n-nodes-tavily.md 1.5 KB
- resources/compatibility-matrix.md 12 KB
- resources/guides/how-to-find-nodes.md 4.2 KB
- resources/guides/usage-guide.md 7.6 KB
- resources/INDEX.md 71 KB
- resources/input/input-merged.md 372 KB
- resources/input/nodes-base.airtable.md 4.0 KB
- resources/input/nodes-base.asana.md 3.2 KB
- resources/input/nodes-base.automizy.md 2.9 KB
- resources/input/nodes-base.autopilot.md 3.6 KB
- resources/input/nodes-base.dropbox.md 3.2 KB
- resources/input/nodes-base.github.md 3.1 KB
- resources/input/nodes-base.googleDrive.md 3.9 KB
- resources/input/nodes-base.googleSheets.md 4.2 KB
- resources/input/nodes-base.mySql.md 5.1 KB
- resources/input/nodes-base.postgres.md 4.6 KB
- resources/input/nodes-base.set.md 4.3 KB
- resources/input/README.md 2.4 KB
- resources/misc/misc-merged.md 528 B
- resources/misc/README.md 252 B
- resources/organization/organization-merged.md 10 KB
- resources/organization/README.md 292 B
- resources/output/nodes-base.affinity.md 3.5 KB
- resources/output/nodes-base.awsCertificateManager.md 3.9 KB
- resources/output/nodes-base.awsCognito.md 3.9 KB
- resources/output/nodes-base.awsComprehend.md 3.7 KB
- resources/output/nodes-base.awsElb.md 4.1 KB
- resources/output/nodes-base.awsIam.md 3.7 KB
- resources/output/nodes-base.awsLambda.md 3.0 KB
- resources/output/nodes-base.awsRekognition.md 3.6 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 151 lines · 74 tokens per session scan A 58771ca73d96
n8n-skills is a skill published in the GitHub repository gabry-ts/n8n-starter (9 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,005 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to n8n-skills, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
build-workflow
Full 3-phase pipeline (Research → Write+Validate → Deploy+Test) for shipping an n8n workflow end-to-end. Wraps Etienne's n8n-as-code:n8n-architect skill for schema research + authoring, adds repo-scoped orchestration — community-template lookup, validate-push-test loop, mcpTrigger publish gate, execution inspection…
n8n-to-langgraph
INVOKE THIS SKILL when converting n8n workflows to LangGraph applications, analyzing n8n workflow JSON files for conversion, or reviewing an n8n-to-LangGraph conversion. Covers the full pipeline: workflow analysis, architecture planning, implementation via ralph-loop, and review.
post-build-flow
Handles workflow verification and setup after build-workflow succeeds, or when the message contains workflow-verification-follow-up or workflow-setup-required. Load after direct builds, when verificationReadiness requires action, or on orchestrator verify/setup follow-up turns.
intent-recognition
Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother (whether the other primitive appears embedded inside — an agent step inside a workflow, or a workflow invoked as an…
planned-task-runtime
Handles system follow-up turns: planned-task-follow-up (synthesize, replan, build-workflow, checkpoint), background-task-completed, running-tasks context, and create-tasks silence rules. Load whenever any of these tags appear or after calling create-tasks.
config-evals
Builds and maintains configuration-based evaluations on a workflow with the eval-config tool. Use when the user asks to set up, add, view, change, or remove an evaluation, score, grade, or judge a workflow's output, or measure answer quality against a test dataset. This is the only eval form Instance AI handles — it…