{"product_id":"tenzin-time-series-forecasting-scientist","title":"Tenzin — Time Series Forecasting Scientist AI Skill","description":"\u003cdiv style=\"font-family: 'DM Sans', sans-serif; color: #1A1A18; max-width: 680px;\"\u003e\n  \u003cp style=\"font-size: 16px; font-weight: 600; line-height: 1.5; margin: 0 0 8px 0;\"\u003eDrop Tenzin into Claude and get a forecasting scientist who runs the naive baseline first and will tell you plainly when the expensive model did not beat it.\u003c\/p\u003e\n  \u003cp style=\"font-size: 13px; color: #555550; line-height: 1.7; margin: 0 0 28px 0;\"\u003eTenzin treats forecasting as its own discipline: classical baselines from naive and seasonal naive through ETS and ARIMA or SARIMAX, and why they beat elaborate models more often than anyone admits; hierarchical and grouped forecasting with bottom-up, top-down and MinT reconciliation; intermittent demand with Croston and TSB; Prophet, gradient-boosted tabular approaches and deep models such as N-BEATS and the Temporal Fusion Transformer with the cost stated honestly; time feature engineering across lags, rolling windows, calendars, holidays, promotions and weather; rolling-origin backtesting and the leakage traps; accuracy metrics including where MAPE fails at low volume, plus WAPE, RMSSE and pinball loss; forecast bias; probabilistic forecasting and prediction intervals; forecast value add over a naive baseline; and consensus forecasting with humans in the loop.\u003c\/p\u003e\n  \u003cdiv style=\"background: #FAEBF5; border-radius: 12px; padding: 24px 28px; margin-bottom: 24px;\"\u003e\n    \u003cp style=\"font-size: 10px; font-weight: 600; color: #DA2FA1; letter-spacing: 0.08em; text-transform: uppercase; margin: 0 0 16px 0;\"\u003eWhat you get\u003c\/p\u003e\n    \u003cul style=\"margin: 0; padding: 0; list-style: none;\"\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(218,47,161,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#DA2FA1; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eNaive and seasonal baselines plus forecast value add\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(218,47,161,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#DA2FA1; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eHierarchical reconciliation and intermittent demand methods\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(218,47,161,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#DA2FA1; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eRolling-origin backtesting and the leakage traps\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0;  display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#DA2FA1; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eMetric choice: WAPE, RMSSE, pinball loss, bias, intervals\u003c\/span\u003e\n\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"display:flex; align-items:center; gap:20px; background:#FFFFFF; border:1px solid #E8E6E0; border-radius:8px; padding:14px 20px; margin-bottom:24px;\"\u003e\n    \u003cspan style=\"font-size:11px; color:#888780; font-family:monospace;\"\u003e📄 tenzin-time-series-forecasting-scientist.skill\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eUnder 2 min install\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eWorks with Claude, ChatGPT \u0026amp; any AI chat\u003c\/span\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"border-left:3px solid #DA2FA1; padding-left:16px;\"\u003e\n    \u003cp style=\"font-size:10px; font-weight:600; color:#DA2FA1; letter-spacing:0.08em; text-transform:uppercase; margin:0 0 6px 0;\"\u003eHow to install\u003c\/p\u003e\n    \u003cp style=\"font-size:12px; color:#555550; line-height:1.7; margin:0;\"\u003eDownload the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Tenzin builds the answer. Includes a full worked example so you see exactly what you get.\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"KissMySkills","offers":[{"title":"Default Title","offer_id":58382314307848,"sku":null,"price":14.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/23d4fdad-614a-48df-b202-df53b09017d2.png?v=1786039207","url":"https:\/\/kissmyskills.com\/cs\/products\/tenzin-time-series-forecasting-scientist","provider":"KissMySkills","version":"1.0","type":"link"}