n8n

Load immediately after an Agent intent. Then call build-agent with the user's request after any required orchestrator-owned prerequisites are ready. Agent Builder owns Agent setup and implementation questions. Governs prerequisite creation, faithful handoff, targeting, testing, and publishing. Use directly for routine Agent follow-ups; rerun intent-recognition only when the requested artifact is no longer clear.

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 does not touch on-canvas evaluation nodes.

Lookup procedure for Simplified Custom Auth recipe fields — sources the auth template, the key-issuing docsUrl and an auth-rejecting testUrl from the provider's real documentation instead of memory. Load before composing credentialHints for a service without a dedicated credential type (the post-build-flow setup step), or when asked to fix a recipe whose template, key page or test endpoint is wrong.

Guides n8n credential setup through Computer Use browser tools. Use when a user needs OAuth apps, API keys, client IDs, client secrets, or other credential values from an external service console.

Load before calling data-tables or parse-file. Use for natural standalone requests like "what data tables do I have?", "show/list my tables", or "what columns are in this table?", and whenever the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments. Also load before building or planning workflows that create or write to Data Tables (then load workflow-builder before build-workflow).

Debug failed or wrong-output workflow executions using executions tools. Load when the user reports execution failures, unexpected node output, empty parameter values after a successful run, or a node showing a red or failed expression error.

Load when the request depends on what is already on this instance rather than on what the user just typed: a short or ambiguous opener ("fix it", "carry on", "what should I look at"), a reference to earlier work in a new conversation, or any question about what has recently run or broken.

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 embeds_other (whether the other primitive appears embedded inside — an agent step inside a workflow, or a workflow invoked as an agent tool). Must be used whenever the current turn requires choosing or reconsidering the intent of an automation request, including compound requests, independent automations introduced mid-build, one-off questions or reports that need external systems you cannot query directly, and requests that need clarification before an anchor can be chosen. An explicit Agent request routes to agent-builder before ask-user. Do not load for routine edits or extensions when the conversation already targets a workflow or Agent.

Guides AI model choices in new workflows, existing workflows, pasted workflow JSON, and model-availability questions. Load before recommending, selecting, replacing, or judging a model. Preserve working or explicitly requested IDs. An unfamiliar name or generic 404 does not establish that a model is invalid. Do not claim otherwise or suggest a replacement without provider evidence. Prefer credential-specific resource lookup when available. Use searchModels only to choose an unspecified model without a relevant credential or suitable named recommendation, never to validate a supplied ID or diagnose an existing failure. For a new choice, do not narrow discovery to a remembered model ID. Do not choose GPT-4-family or Claude 3.x for an unspecified model unless verified access constraints require them. Also activated when inspecting a model-bearing node.

Design or review Agent Builder interfaces. Use for Agent configuration patterns, modal flows, responsive behavior, status treatments, and other Agent-only UI work.

Use the n8n CLI to manage workflows, credentials, executions, and more on an n8n instance. Use when the user asks to interact with n8n, automate workflows, manage credentials, or operate their instance from the command line.

Checks if a community pull request is ready for human review. Verifies CLA signature, PR title format, description completeness, test coverage, and cubic-dev-ai issues, then triages to the right Linear team or recommends a close. Use when given a PR number or branch name to review, or when the user says /community-pr-readiness-check, or asks to check if a PR is ready for review.

Product content designer for UI copy. Use when writing, reviewing, or auditing user-facing text: button labels, error messages, tooltips, empty states, modal copy, placeholder text, confirmation dialogs, onboarding flows, or i18n strings. Also use when the user says /copy, /content, or /ux-copy.

Quick reference for n8n patterns. Full docs /AGENTS.md

Authors and calibrates Instance AI evaluations that build standalone n8n Agents through Agent Builder. Use when a change under packages/cli/src/modules/agents affects build-agent routing, Agent setup, model or credential selection, tools, MCP servers, integrations, skills, tasks, testing, or user-facing build responses. Requires LangTracer access before authoring so each finished case can be published.

Create new ESLint rules for the @n8n/eslint-plugin-community-nodes package. Use when adding a lint rule, creating a community node lint, or working on eslint-plugin-community-nodes. Guides rule implementation, tests, docs, and plugin registration.

Authors a new Instance AI workflow or Agent eval case — written locally as JSON, calibrated against a real build, then pushed to the LangTracer suite CI runs — build cases, behaviour/process cases, credential cases, and seeded (mid-conversation) cases — with intent-driven expectations. Use when adding or changing an Instance AI eval, or debugging why one is flaky.

Create Linear tickets or GitHub issues following n8n conventions. Use when the user asks to create a ticket, file a bug, open an issue, or says /create-issue.

Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.

Guides users through creating effective Agent Skills. Use when you want to create, write, or author a new skill, or asks about skill structure, best practices, or SKILL.md format.