{"id":5818,"plugin_id":"plugin_asdk_app_6a322b52a82c8191b7fb653f9e9f7891","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T22:46:37.932Z","digest":"9d0b7096b95d84d758bcc7ed4aa332c2e1579c0cb3c104f1f0da78c55f9fe0ee","against":null,"payload":{"name":"long-term-trends","description":"Use when the user asks how a metric recorded in their freddy account changed over months or years — history charts, progress since a date, seasonal patterns, year-over-year comparisons. Not for a single week (use weekly-health-review).","included_files":[],"skill_md_contents":"---\nname: long-term-trends\ndescription: Use when the user asks how a metric recorded in their freddy account changed over months or years — history charts, progress since a date, seasonal patterns, year-over-year comparisons. Not for a single week (use weekly-health-review).\n---\n\n# Long-term trends\n\nThis skill uses the freddy app's MCP tools (get_profile, list_metrics, query_metrics, connect_source, sync_source) to chart the user's own recorded wellness data over time. It is a factual presentation of historical numbers, not medical advice, diagnosis, or a clinical assessment.\n\nShow how my freddy data changed over time.\n\n1. Call list_metrics to find the exact metric names — never guess generic English names. Prefer daily-summary variants (names containing avg/min/max) over per-reading metrics.\n2. For multi-month or multi-year windows, call query_metrics with granularity: \"month\" (or \"week\" for finer detail) and explicit start / end dates (YYYY-MM-DD). This returns avg/min/max/count buckets so years of data fit in one response.\n3. If a response reports truncation or omitted buckets, follow its continuation hint — it names the exact start and end to pass next.\n4. Present the numbers factually: the overall direction, notable changes with their dates, seasonal patterns if visible, and — when enough history exists — the most recent 3 months side by side with the same period a year earlier. State which aggregation level the numbers come from. Do not characterize the data as a health status and do not draw medical conclusions from it.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}