Update to Customer Review Analyzer

{
  "name": "review-trends-and-action-planning",
  "description": "Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses.",
  "included_files": [],
  "skill_md_contents": "---\nname: review-trends-and-action-planning\ndescription: Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses.\n---\n\n# Review Trends and Action Planning\n\nCompare periods or segments only when timestamps, segment fields, and adequate data are present. Normalize for changing volume where relevant, show denominators, and warn about seasonality, channel mix, product-version changes, survivorship, and selection bias. Do not infer that a change caused an outcome.\n\nTranslate pain points into testable hypotheses: observed signal, affected aspect, likely user need, proposed investigation/action, owner role if supplied, effort assumptions, success metric, and follow-up window. Separate operational fixes, product discovery questions, and communication opportunities. Draft responses only when requested; make them empathetic, factual, non-defensive, and never ask for a positive rating in exchange for compensation. Do not reveal private customer details in public response drafts.\n"
}