AF n8n
Use when the user wants to build, debug, or extend an n8n workflow - generating workflow JSON from a description, scaffolding a custom TypeScript node, building an AI agent (LangChain cluster), iterating over items, writing Code-node JS, linting an existing workflow, diagnosing a failed execution, or driving a live n8n instance via REST.
As a process F 39/100 · Will not run — References files that are not bundled: references/expressions.md, references/ai-agents.md, references/code-node.md
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/expressions.md - warning
missing-refreference to a missing file: references/ai-agents.md - warning
missing-refreference to a missing file: references/code-node.md - warning
missing-refreference to a missing file: references/workflow-json.md - warning
missing-refreference to a missing file: references/iteration.md - warning
missing-refreference to a missing file: references/deprecations.md - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 39/100
- 0Tools and files. 6 referenced file(s) missing: references/expressions.md, references/ai-agents.md, references/code-node.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 6 mutating operations with no state check
- 40Consistency. Frontmatter name (n8n) differs from the folder (automatelab-n8n)
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 1100 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +3Description length 339: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 23 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.