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Workflows / ChatGPT → Linear issue auto-creator
Engineeringn8n~15 min setupv2.3.10 Editor's pick

ChatGPT → Linear issue auto-creator

Production-ready engineering workflow. Imports cleanly into n8n / Make.

n8nLinear
Runs
3.3k
Forks
78
Cost / run
~$0.020
Updated
5d ago

Node graph preview

6 nodes · n8n
n8n node graph
preview
okerr
Trigger
n8n webhook
Validate
sanitize + enrich
AI Step
n8n
Branch
route by result
Deliver
Linear
Observe
alert on failure

How it works

  1. 1
    Trigger
    Webhook / schedule / form submission fires the workflow.
  2. 2
    Validate & Enrich
    Inputs are sanitized; missing data is enriched via API lookups.
  3. 3
    AI Step
    GPT or Claude classifies, summarizes, or generates the next action.
  4. 4
    Branch & Route
    Conditional logic routes to the right downstream system.
  5. 5
    Write to Destination
    Final payload is delivered to CRM / DB / Slack / email.
  6. 6
    Observability
    Failures route to an alert channel with full payload context.

Preconfigured for every model

Swap the model node in one click. Local-first variants included where possible.

OpenAILocal Local-first variant

Env vars templated

Fill these in your n8n workspace — we never touch your keys.

  • OPENAI_API_KEY=•••
  • ANTHROPIC_API_KEY=•••
  • WEBHOOK_URL=•••

Changelog

  1. v2.3.10
    Bumped model node to latest Claude Sonnet + Groq fallback.
    2d ago
  2. v2.2.0
    Added env-var templating for API keys.
    3w ago
  3. v1.0.0
    Initial public release.
    2mo ago

Requirements

  • Active n8n instance (self-hosted or cloud)
  • API keys for: n8n, Linear
  • Basic understanding of webhooks and JSON
  • Optional: A Slack channel for alerts

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Every new GitHub issue gets labels, priority, owner suggestion, and a Linear mirror.

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