>- 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.
npx skills add https://github.com/n8n-io/n8n --skill debugging-executions
Use this skill when debugging workflow execution failures or successful runs
with wrong or empty values.
Re-run the failing path with executions(action="run") (or
verify-built-workflow) and inspect the real result before responding. Do not
restate that the workflow is "fixed", "verified", or "working", and do not
attribute the reported failure to a test-harness artifact, stale state, or "it
works in production" without a re-run against the failing path. Treat live
signals as real: an execution error, partial coverage (nodesNotReached), an
empty node, or a missing node is a real defect to investigate, not something to
explain away. If you genuinely cannot re-run the failing path, say so plainly and
name what is unconfirmed instead of repeating a success claim.
Use executions(action="run") with inputData matching the trigger's output
shape — do not rebuild the workflow with a Manual Trigger. For trigger
inputData shapes, read knowledge-base/reference/trigger-input-data-shapes.md
when a sandbox workspace is available.
executions(action="debug") already includes failedNode.resolvedParameters —
start there. That bundle has parameters (raw, with expressions intact),
resolved (substituted), failedExpressions (those that threw), and
emptyResolutions (those that resolved to null/undefined/"" silently).
The offending expression is usually visible without a follow-up call. Entries in
either list tagged with reason: "unreconstructable-context" are NOT real bugs —
they reference variables we don't reconstruct in replay ($vars, $secrets,
$response, $request, $pageCount, $ai). The value existed at execution
time; we just don't have it here.
When debug doesn't apply because nothing errored, call
executions(action="get-resolved-node-parameters", executionId, nodeName) on the
node whose output looks off — do this unprompted, don't ask the user for
permission first. It's a cheap read-only inspection and the only reliable way to
confirm whether an empty value came from an expression silently resolving to
nullish. Check emptyResolutions first; most "this parameter is empty" cases are
expressions resolving to null/undefined/"", not thrown errors.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take n8n-io/debugging-executions from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.