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Forecasting and time series
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | A skill your agent uses when targeting 《数量经济技术经济研究》(The Journal of Quantitative & Technological Economics, JQTE) — the CASS journal for quantitative economics, econometric methods, technical… | franklee16/ | 223 | 1 repo | ~595 | Automated safety check: Pass | No licence | 23 days ago |
| 194 | Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. | aiskillstore/ | 433 | — | ~2.9k | Automated safety check: Pass | No licence | yesterday |
| 195 | 195.Metrics Review Review and analyze product metrics with trend analysis and actionable insights. | aAAaqwq/ | 105 | 1 repo | ~4.5k | Automated safety check: Pass | MIT | 2 days ago |
| 196 | Financial analysis skill for AI agents. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 197 | SaaS churn and retention analysis: cohort-based churn rates, retention curves, revenue churn vs logo churn, at-risk customer identification, expansion vs contraction MRR, churn recovery playbooks… | LeoYeAI/ | 2.2k | — | ~5k | Automated safety check: Pass | MIT | 2 mo ago |
| 198 | 198.Hashtag Science A specialized skill for the hashtag-analyst agent covering hashtag science. | revfactory/ | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 199 | Comprehensive dimension analysis and reporting for CJA. An agent skill from adobe/skills. | adobe/ | 197 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 200 | 200.Browsing Bluesky Browse Bluesky content via API and firehose - search posts, fetch user activity, sample trending topics, read feeds and lists, analyze and categorize accounts. | oaustegard/ | 150 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 201 | 201.Prism Chart A skill your agent uses when asked to implement a chart, select a visualization type, or build a data display component. | jeremylongshore/ | 2.8k | — | ~627 | Automated safety check: Notes | MIT | yesterday |
| 202 | Reduce SerpAPI search consumption through measured demand, exact-query caching, admission budgets, and current account pricing evidence. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 203 | Manage time series decomposer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~570 | Automated safety check: Pass | MIT | yesterday |
| 204 | Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than… | cbrock84/ | 2k | — | ~846 | Automated safety check: Pass | MIT | 23 days ago |
| 205 | 205.Fred API Federal Reserve Economic Data API for US economic indicators | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 206 | Innovation metrics, R&D management research, and technology forecasting | wentorai/ | 298 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 207 | Apply ARIMA, VAR, cointegration, and time series econometric methods | wentorai/ | 298 | 1 repo | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 208 | Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities. | 40RTY-ai/ | 194 | — | ~1.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 209 | 209.Pp Sendgrid Every Twilio SendGrid endpoint, plus offline suppression diffs, stats time-series rollups, and a template-variable... | mvanhorn/ | 2.1k | — | ~17k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 210 | 210.Pp Ynab Every YNAB feature, plus a local mirror that makes reconciliation, payee trend analysis, and a ready-made ProjectionLab export instant instead of manual. | mvanhorn/ | 2.1k | — | ~7.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 211 | Statistical analysis, ML, NLP, time series forecasting, network analysis for political intelligence data | Hack23/ | 239 | — | ~7.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 212 | Election forecasting models, campaign analysis, coalition prediction, voter behavior analysis for Swedish elections | Hack23/ | 239 | — | ~6.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 213 | Interrogate a demand forecast before the business commits supply and inventory to it. | mohitagw15856/ | 1.4k | — | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 214 | Build a structured sales forecast framework for any business or team. | mohitagw15856/ | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | 2 days ago |
| 215 | Analyze sprint velocity data and produce an engineering team health report covering delivery trends, capacity utilization, and improvement recommendations. | mohitagw15856/ | 1.4k | — | ~3.4k | Automated safety check: Pass | MIT | 2 days ago |
| 216 | 216.Informer2020 A skill your agent uses for Informer2020 long-sequence time-series forecasting training, evaluation, custom CSV preparation, and prediction workflows. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 217 | 217.Promql CLI CLI for querying Prometheus and PromQL-compatible engines (Thanos, Cortex, VictoriaMetrics, Grafana Mimir, Grafana Tempo...) — instant queries, range queries, metric discovery (metrics/labels/meta… | samber/ | 227 | — | ~1.9k | Automated safety check: Pass | MIT | 10 days ago |
| 218 | Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. | sandbaseai/ | 203 | — | ~943 | Automated safety check: Pass | Apache-2.0 | 15 days ago |
| 219 | Build ARIMA models for time series forecasting with trend and seasonality decomposition. | asgard-ai-platform/ | 242 | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 220 | Combine multiple forecasting models into ensemble predictions for improved accuracy. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 221 | Apply exponential smoothing methods for time series forecasting with weighted moving averages. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 222 | Build forecasting models with Meta's Prophet for business time series with holidays and changepoints. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 223 | 223.Fin Modeling Build three-statement financial models (Income Statement, Balance Sheet, Cash Flow) with revenue forecasting, assumption management, and scenario analysis. | asgard-ai-platform/ | 242 | — | ~1.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 224 | Design predictive maintenance strategies using sensor data, ML models for remaining useful life (RUL), and the P-F curve framework. | asgard-ai-platform/ | 242 | — | ~1.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 225 | A skill your agent uses to stress-test predictions by assuming they failed and working backward to identify why. | nicepkg/ | 285 | — | ~4.1k | Automated safety check: Pass | MIT | 8 mo ago |
| 226 | Multi-location inventory — transfers, low stock alerts, demand forecasting, safety stock, ABC analysis | nexscope-ai/ | 1.1k | — | ~480 | Automated safety check: Pass | MIT | 1 mo ago |
| 227 | Inventory management for TikTok Shop — demand forecasting, viral stock planning, FBT optimization | nexscope-ai/ | 1.1k | — | ~444 | Automated safety check: Pass | MIT | 1 mo ago |
| 228 | Track and analyze e-commerce sales performance across platforms. | nexscope-ai/ | 1.1k | — | ~578 | Automated safety check: Pass | MIT | 1 mo ago |
| 229 | Performs end-of-iteration review with quality grading, metrics, and trend analysis. | ash1794/ | 163 | — | ~497 | Automated safety check: Pass | MIT | 3 days ago |
| 230 | A skill your agent uses to judge whether a manuscript fits 《数量经济技术经济研究》 (JQTE) and to decide how to frame its contribution — measurement, forecasting, or method-application versus clean causal… | franklee16/ | 223 | 1 repo | ~464 | Automated safety check: Pass | No licence | 23 days ago |
| 231 | 231.Jqte Forecasting A skill your agent uses when a 《数量经济技术经济研究》 (JQTE) manuscript makes a forecasting or prediction claim — macro forecasting, business-cycle / sentiment indices, mixed-frequency nowcasting, or… | franklee16/ | 223 | 1 repo | ~413 | Automated safety check: Pass | No licence | 23 days ago |
| 232 | A skill your agent uses when writing the policy / practice implications of a 《数量经济技术经济研究》 (JQTE) manuscript — translating measurement, forecasting, or decomposition results into concrete guidance… | franklee16/ | 223 | 1 repo | ~377 | Automated safety check: Pass | No licence | 23 days ago |
| 233 | A skill your agent uses to sharpen a topic for 《数量经济技术经济研究》 (JQTE) — turning a vague empirical idea into a measurement / forecasting / method-application question with a clear quantitative object, a… | franklee16/ | 223 | 1 repo | ~339 | Automated safety check: Pass | No licence | 23 days ago |
| 234 | Fix Monte Carlo project completion simulations that give identical dates for all sub-groups (milestones, priorities, epics). | divinevideo/ | 266 | — | ~1.5k | Automated safety check: Pass | MPL-2.0 | yesterday |
| 235 | A skill your agent uses when designing the real-data validation of a 《中国管理科学》 (Chinese Journal of Management Science) manuscript — forecasting and financial-engineering strands: data provenance… | brycewang-stanford/ | 1.2k | — | ~783 | Automated safety check: Pass | MIT | 14 days ago |
| 236 | A skill your agent uses when the cross-country/time-series data construction, sample, frequency, or measurement of a Journal of International Money and Finance (JIMF) manuscript is the bottleneck. | brycewang-stanford/ | 1.2k | — | ~2.4k | Automated safety check: Pass | MIT | 14 days ago |
| 237 | Multi-regime options spread analysis engine with quantitative rigor. | LeoYeAI/ | 2.2k | — | ~5.7k | Automated safety check: Notes | MIT | 2 mo ago |
| 238 | Distinguish genuine seasonal products from short-lived trends using multi-year search-volume cycles, BSR swings, and competitor price patterns, then map the confirmed cycle into staging, growth… | xjli360/ | 251 | — | ~721 | Automated safety check: Pass | MIT | 13 days ago |
| 239 | Screen product candidates against ten risk classes that commonly hurt first-time sellers (low price band, fragility, electronics, apparel sizing, batteries, patents, seasonality, food and… | xjli360/ | 251 | — | ~903 | Automated safety check: Pass | MIT | 13 days ago |
| 240 | Narrow blue-ocean product candidates using a combined filter of search-demand floor, competing-listing count ceiling, minimum price floor, non-seasonality, click-concentration ceiling and an ad-cost… | xjli360/ | 251 | — | ~828 | Automated safety check: Pass | MIT | 13 days ago |
