{"id":53585,"plugin_id":"plugins_6ab368352eac819185c235df962b1b1c","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-24T13:54:29.408Z","digest":"72ea8fb815da11bd01f15550d67f80c2e191811ef03587df3e62fffa53b0d993","against":null,"payload":{"description":"Inventory customer feedback sources, assess data quality, and build a practical, revisable coding taxonomy.","included_files":[],"name":"feedback-ingestion-and-taxonomy","skill_md_contents":"---\nname: feedback-ingestion-and-taxonomy\ndescription: Inventory customer feedback sources, assess data quality, and build a practical, revisable coding taxonomy.\n---\n\n# Feedback Ingestion and Taxonomy\n\nInventory supplied files/channels, field meanings, time coverage, product/version, language, and sampling method. Check missingness, duplicate rows, malformed dates, repeated imports, channel imbalance, and anonymization. Preserve source provenance and do not combine datasets with incompatible definitions without explaining the transformation.\n\nBuild a compact hierarchical taxonomy suited to the analysis question: product area, feedback type (bug, friction, request, praise, question, other), user goal/need, and optional urgency/context. Allow multiple labels; retain an uncategorized/ambiguous bucket. Avoid premature taxonomy complexity. Explain coding rules and representative examples. If the taxonomy changes across analysis, note versioning so future comparisons remain interpretable.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}