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GitOps ยท AI Skills ยท TypeScript Workflows

The AI Skill that gives your coding agent n8n superpowers.

Give your coding agent the full n8n map: nodes, schemas, docs, templates, and validation. Then keep the workflow itself in clean local code so pull requests stay readable and GitOps stays real.

GitOpsAI SkillsTypeScript Workflows
Workflow lifecycle
$ n8nac list
$ n8nac pull abc123
$ n8nac push workflows/instance/project/order-alert.workflow.ts --verify
AgentGrounded generation

Nodes, options, and examples come from the skill dataset, not from model guesswork.

GitOpsReadable workflow code

Local files stay diffable, reviewable, and much easier to maintain in pull requests.

VS CodePreview and validation

Inspect status, open the canvas, and validate structure before you decide to push.

SyncExplicit, not magical

List, pull, validate, and push stay intentional so local and remote state never get blurred.

The case for agentic workflow development

The argument is in the dataset.

n8n-as-code is useful because it does two things at once: it gives your agent real n8n knowledge, and it gives your team clean Git-friendly workflow files to review.

๐Ÿงฉ537 n8n nodes
Every official node indexed

433 core + 104 AI/LangChain nodes. Nothing missing from the official catalog.

๐Ÿ“‹100% schema coverage
Parameters your agent cannot hallucinate

10,209 properties and 17,155 option values packed into the skill.

๐Ÿ“š1,243 docs pages
Official documentation wired in

93% of nodes have linked docs across integrations, triggers, AI, hosting, and code.

๐Ÿ”„7,702 templates
Community workflows on tap

The full community library is searchable locally in about 5 ms with FlexSearch.

๐Ÿค–104 AI nodes
LangChain coverage included

Agents, chains, LLMs, tools, memory, vector stores, retrievers, and the rest.

๐Ÿ’ก170 example pages
Ready-to-use snippets extracted

Concrete code examples pulled from official n8n docs for faster generation and repair.

โœ…Built-in validation
Catch issues before production

Schema validation checks the workflow before you push and before your agent drifts.

What teams actually buy into

Better outputs for agents, better diffs for humans.

For Coding Agents

Your agent gets node schemas, option values, docs, templates, and validation instead of trying to guess how n8n works.

See the agent workflow

For GitOps

Workflows become readable local files you can diff, review, and merge cleanly in pull requests.

Read the GitOps flow

For VS Code

Use the extension to inspect status, preview the canvas, validate structure, and push only when you decide to.

Explore the VS Code experience

What the stack gives your agent and your team

A workflow system designed for AI execution and human review.

Explicit Git-like Workflow

Explicit Git-like Workflow

List current status, pull the workflow you want, edit locally, then push a specific filename back to n8n. Clear operations beat hidden background behavior.

AI Skill With Real Context

AI Skill With Real Context

Empower AI agents with schema-accurate node data, documentation, validation, and thousands of workflow examples packaged for fast local search.

TypeScript Workflows

TypeScript Workflows

Convert workflows into readable decorators and stable diffs so humans and coding agents can reason about automation as code instead of opaque JSON blobs.

Canvas Preview in VS Code

Canvas Preview in VS Code

Edit in code while keeping the n8n canvas close. The IDE becomes the place where review, validation, preview, and sync decisions happen together.

Deterministic Conflict Resolution

Deterministic Conflict Resolution

Three-way comparison detects real conflicts, avoids false positives, and keeps resolution visible through diffs and explicit keep-local or keep-remote actions.

Project-aware Local Structure

Project-aware Local Structure

Keep instances and projects separated on disk so teams can version the right workflows without cross-environment confusion.

How the loop works

Agentic automation, grounded in GitOps.

The goal is not to hand-author every workflow like traditional application code. The goal is to let agents build and update workflows from a trustworthy n8n knowledge base, while your team reviews clean local artifacts instead of opaque UI diffs.

1

Search

The skill lets your agent search nodes, docs, examples, and schemas before it writes anything.

2

Pull

Bring the workflow into a local Git-tracked file so the change becomes reviewable and reproducible.

3

Edit

Work in JSON or TypeScript with a structure that humans can read and agents can manipulate reliably.

4

Validate

Check the generated workflow against the real schema so bad parameters and fake options get caught early.

5

Push

Ship the exact local file back to n8n with an explicit action instead of pretending sync is magical.

Start here

Give your coding agent the full n8n map.

Start with the skill, wire it into your preferred agent, and keep every workflow change readable, validated, and reviewable from the first pull request.