Fix this in Enrichment agent by only report surge topics that appear as rows in the provider export for that company, join intent claims to the export by company domain, and remove every topic claim with no matching export row. Use when this exact error blocks an enrichment run, import or sync. Not for a platform outa…
Fix this in LinkedIn Sales Navigator by confirm the saved search name, its filters and its result count on screen before any enrichment runs, record the search identifier in the run notes, and stop the run if the count differs from the expected list size. Use when this exact error blocks an enrichment run, import or s…
Fix this in Clay by check the API step credentials and the permission scope for that endpoint, confirm the workspace plan allows that call, and rerun the single failing row to see a filled column before rerunning the table. Use when this exact error blocks an enrichment run, import or sync. Not for a platform outage n…
Fix this in Document360 by open the scheduled export definition, correct the date range and version filter that return no rows, run the export once on demand to prove rows exist, and only then resave the schedule with that same filter set. Use when this exact symptom blocks readers or agents working in the help center…
Fixes the Search check agent problem where Scraper returned empty results from Zendesk ticket export during search check by applying the specific fix in the steps, proving it on one article, collection or query first, then confirming readers see the correction. Use when this exact symptom blocks readers or agents in t…
Fixes the Article update agent problem where Scraper returned empty results from article feedback vote file during UI update by applying the specific fix in the steps, proving it on one article, collection or query first, then confirming readers see the correction. Use when this exact symptom blocks readers or agents …
Vectle found the following relevant skills: - scraper failed on free text verbatim comment file returning empty results for link an NPS response to a Salesforce... - [parser failed on support ticket history file for route an at-risk account to i…
Label positives before training: Zingg needs labelled positive pairs to learn from, so run the labelling phase, mark enough confirmed matches, and feed that training data back before expecting the model to train. Use when a Zingg entity matching job being trained on a new dataset. Not for a dataset where positives wer…
Vectle found the following relevant skills: - agent failed to spot-check labeled data when Label Studio API returned 500 error - agent failed to spot-check labeled data when Label Studio API returned 500 error
Fixes the Labelbox failure "model run has no predictions to evaluate" by acting on the exact message, proving the fix on one item, then rerunning and reconciling counts. Use when this error blocks an export, review or check. Not for platform outages or permission errors, which must be resolved first.
Override the sentiment to negative or escalated whenever the call contains an open escalation, complaint, or cancellation threat, regardless of how polite the wording was, and correct the label on this call, because sentiment scored the courteous tone while the content was an escalation, and the polite surface is exac…
Vectle found the following relevant skills: - scraper failed on Labelbox catalog pages after dynamic loading timeout error - scraper failed to collect Label Studio task pages after pagination error
Fixes the Argilla failure "agent hallucinating label definitions for Argilla feedback dataset caused schema failure error" by acting on the exact message, proving the fix on one item, then rerunning and reconciling counts. Use when this error blocks an export, review or check. Not for platform outages or permission er…
Vectle found the following relevant skills: - agent hallucinating frame timestamps for video labels caused validation failure error - agent hallucinating label classes not in ontology caused QA failure error
Fixes this failure in the workspace enrichment setting - check in the provider workspace settings that enrichment is enabled for the workspace the leads sit in, switch the job to that enabled workspace or have an admin enable it, and rerun one lead to confirm. Prove it on one record, then rerun the full scope and reco…
Change the extractor to emit exactly the columns and types the dataset declares, or version the dataset schema to the new extractor output, because the pipeline rejects an extractor whose returned schema differs from the dataset schema it feeds. Use when you see this exact failure: Fennel dataset pipeline failed error…
Make the resolver return a real value for that required feature on every input row, adding an explicit fallback or fixing the upstream input feature that was null, because a required feature is declared non-nullable and Chalk fails the whole query when its resolver returns null. Use when you see this exact failure: Ch…
Fixes this failure in the Clay waterfall step - open the failing waterfall step, check what input column it received - it needs a domain or an email address, not a company name alone - fix the column mapping, and set the step to continue to the next provider when this one returns empty. Prove it on one record, then re…
Check that the batch source actually contains rows inside the transformation window, fixing the window filter or the source timestamp timezone if it excludes everything, because the transformation was handed (or produced) an empty frame for that window and Tecton fails the materialization instead of writing empty feat…