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A Skill that converts n8n workflow requirements into structured Goals. Through four layers of interview alignment and a 9-element contract, it solves common issues like unclear requirements, unfinished projects, and deviated functionality when AI Agents build n8n workflows.
Section 01
A Skill that converts n8n workflow requirements into structured Goals. Through four layers of interview alignment and a 9-element contract, it solves common issues like unclear requirements, unfinished projects, and deviated functionality when AI Agents build n8n workflows.
Section 02
Section 03
When using AI Agents (e.g., Claude Code, Codex) to build n8n workflows, developers often face a core issue: starting work without clear requirements, leading to unfinished workflows, deviated functionality, and endless revisions.
As a low-code automation platform, n8n has numerous nodes and complex data flows. Without clear requirement definitions, Agents easily fall into a chaotic "step-by-step" state. Field mapping errors, missing error handling, and single-point failures dragging down entire batches of tasks—these problems often stem from incomplete initial requirements.
Section 04
n8n-goal-loop is a Goal generation Skill for n8n workflow development. It does not directly build or run workflows; instead, through a structured requirement alignment process, it helps users clarify the workflow's goals, node links, and delivery results, then generates a ready-to-use 9-element Goal to drive Agents to complete the full closed loop from construction to testing.
The project is based on the agent-skills standard and compatible with mainstream Agent environments like Claude Code, Codex, Cursor, and OpenClaw.
Section 05
Based on the general 7 elements, n8n-goal-loop adds two key elements for n8n scenarios to form a complete 9-element contract:
| No. | Element | Core Question | Description |
|---|---|---|---|
| 1 | Goal Outcome | What workflow to build? | Node links (input→processing→output) + final delivery |
| 2 | Data Flow Contract | How does data flow between nodes? | Field mapping, input/output formats—the biggest pain point in n8n |
| 3 | Error Handling | What to do if a node fails? | continueOnFail, fallback storage, degradation strategy |
| 4 | Validation | How to prove it's done? | Layered testing: script testing + end-to-end testing |
| 5 | Constraints | What can't be touched? | n8n red lines: no database damage, no hard-coded keys, etc. |
| 6 | Boundaries | Where can only be modified? | Only modify the target workflow; do not touch other workflows or credentials |
| 7 | Iteration Strategy | How to proceed after failure? | First run through small samples, refresh cache after PUT, max 3 rounds |
| 8 | Completion Conditions | When is it considered done? | All end-to-end tests passed + business fields have real values |
| 9 | Pause Conditions | When to stop and ask for help? | Need real credentials, release activation, fund involvement, instance exceptions |
The ⭐-marked "Data Flow Contract" and "Error Handling" are exclusive additions for n8n. These two elements are exactly where n8n workflows are most prone to problems: field loss leading to downstream node failures, silent failures causing data inconsistency, and single-point failures dragging down entire batches of tasks.
Section 06
n8n workflows are complex; one cannot expect to generate a perfect Goal in one go. The Skill uses a four-layer interview mechanism to ensure full requirement alignment:
First Layer: Goals & Delivery Clarify what problem the workflow solves and what results to finally deliver.
Second Layer: Node Links Sort out the complete input→processing→output links and determine the responsibility of each node.
Third Layer: Specific Service Confirmation Clarify specific technical selections like table services, AI models, API access methods, etc.
Fourth Layer: Red Line Definition Clarify absolute boundaries that cannot be touched, such as production databases, sensitive credentials, etc.
This four-layer interview ensures that users and Agents have a common understanding of requirements before writing code.
Section 07
The Skill has 11 built-in reference knowledge bases covering:
These knowledge bases are automatically referenced when generating Goals, pre-encoding past pitfalls into constraints and iteration strategies to achieve "prevention is better than cure".
Section 08
The generated Goal undergoes lint checks to ensure:
This control mechanism prevents Agents from entering the execution phase with incomplete Goals.
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