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#ai
debugging-executions
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.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=n8n-io-n8n-packages-n8n-instance-ai-skills-debugging-executions-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name debugging-executions description 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. recommended_tools ["executions","workflows"] Debugging Executions Use this skill when debugging workflow execution failures or successful runs with wrong or empty values. When the user reports it still fails 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. Testing event-triggered workflows 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 ${N8N_WORKSPACE_DIR}/knowledge-base/reference/trigger-input-data-shapes.md when a sandbox workspace is available. Failed execution 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. Successful execution with wrong or empty value 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.
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |