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Data & Analytics · Forecasting and time series
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training. | google-research/ | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | 9 days ago |
| 2 | Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | 4 mo ago |
| 3 | Zero-shot time series forecasting with Google's TimesFM foundation model. | zLanqing/ | 4.7k | 3 repos | ~7.5k | Automated safety check: Notes | Apache-2.0 | 4 mo ago |
| 4 | Add a new Redis command (or command variant) to node-redis end-to-end — the <NAME.ts Command file, its registration with JSDoc in the package commands/index.ts, and a co-located <NAME.spec.ts with… | redis/ | 18k | — | ~5k | Automated safety check: Pass | MIT | today |
| 5 | A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. | timescale/ | 1.9k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | Search the user's local Pensieve screenshot archive by text, app, or time range. | arkohut/ | 1.4k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 7 | Market prediction skill using Kronos. An agent skill from ninehills/skills. | ninehills/ | 280 | 1 repo | ~531 | Automated safety check: Pass | No licence | 3 mo ago |
| 8 | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. | Raidriar7170/ | 125 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | 13 days ago |
| 9 | 9.Charlie Your AI CFO for bootstrapped startups, named after Charlie Munger who embodied the principle that capital discipline is a competitive advantage. | EveryInc/ | 324 | — | ~1.4k | Automated safety check: Pass | MIT | 8 mo ago |
| 10 | 10.Regime Detect the market regime (Bull / Bear / Sideways) for ANY asset and turn it into a tradeable signal or a risk filter. | jackson-video-resources/ | 483 | — | ~1.6k | Automated safety check: Pass | Unknown | 4 mo ago |
| 11 | Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. | lamm-mit/ | 244 | 4 repos | ~3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 12 | Casts and interprets a question-time Vedic horary chart for one concrete question, using the exact time and place it was asked. | CNWU16/ | 941 | — | ~2.5k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 13 | 13.Chart Image Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. | zebbern/ | 4.7k | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 14 | 14.Tufte Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic. | aref-vc/ | 307 | — | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 15 | 15.Garch Method Volatility forecasting and position sizing via walk-forward GARCH(1,1). | milesdeutscher/ | 191 | — | ~1k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | Refresh GitNexus indexing and regenerate local GitNexus skills when repository status is stale. | ML4ITS/ | 166 | — | ~264 | Automated safety check: Pass | MIT | 7 mo ago |
| 17 | KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools. | microsoft/ | 131 | — | ~6.2k | Automated safety check: Pass | MIT | 8 days ago |
| 18 | Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from… | open-edge-platform/ | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 19 | Helps video creators pick topics from their own experience, diagnose how a script may spread and compare its expected performance with their own baseline. | Colinjqq/ | 189 | — | ~412 | Automated safety check: Pass | MIT | 29 days ago |
| 20 | 20.Company Cfo Monthly CFO workflow for a company or agency — pull raw data from bank + payment processor + payroll + expense management, categorize and reconcile, compute end-of-month cash via transaction-sum… | coreyhaines31/ | 850 | — | ~4k | Automated safety check: Notes | MIT | today |
| 21 | Turns content creation into a calibrated loop of scoring, blind prediction, post-publish review and rubric evolution, with a built-in rubric for opinion videos. | XBuilderLAB/ | 7.2k | — | ~2.7k | Automated safety check: Notes | MIT | 3 days ago |
| 22 | Structured Chinese-style divination and fate-reading skill for questions about current fortune, relationships, career choices, project momentum, and personal tendencies. | tradecatlabs/ | 202 | — | ~1.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 23 | Cognitive AI tools for HyperspaceDB: Chain-of-Thought stability analysis, Koopman momentum prediction, trust scoring, and Lyapunov convergence for agent reasoning. | YARlabs/ | 162 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 24 | Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that… | openforecast-org/ | 107 | — | ~1.1k | Automated safety check: Pass | LGPL-2.1 | today |
| 25 | Reference knowledge for AI forecasting: superforecasting principles, a signal taxonomy, confidence calibration rules and reasoning chains for making and tracking predictions. | RightNow-AI/ | 18k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 26 | 26.Honey Ccr Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context. | Green-PT/ | 313 | — | ~674 | Automated safety check: Pass | MIT | 1 mo ago |
| 27 | Kickstart Many Models Forecasting (MMF) projects on Databricks — explore data, profile series, configure clusters, run forecasting pipelines, and evaluate results. | databricks-industry-solutions/ | 111 | — | ~6k | Automated safety check: Pass | Unknown | today |
| 28 | Port a feature from the R smooth package to the Python port, or check how an R name maps to Python. | openforecast-org/ | 107 | — | ~2.2k | Automated safety check: Pass | LGPL-2.1 | today |
| 29 | Zero-shot time series forecasting with Google's TimesFM foundation model. | agent-skills-hub/ | 111 | 1 repo | ~7.8k | Automated safety check: Notes | Apache-2.0 | 6 days ago |
| 30 | 30.Elodin DB Work with Elodin-DB, the time-series telemetry database. An agent skill from elodin-sys/elodin. | elodin-sys/ | 547 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | today |
| 31 | Guides time series machine learning with the aeon toolkit: classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search. | davila7/ | 32k | 13 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 32 | A skill your agent uses when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. | timescale/ | 1.9k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 33 | Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks. | smilehanCN/ | 119 | — | ~667 | Automated safety check: Pass | No licence | 4 mo ago |
| 34 | 34.Ab Testing A skill your agent uses when designing or analyzing a controlled experiment — falsifiable hypothesis, sample size from an MDE, reading significance/CI/power, CUPED, or rescuing tests that won't go… | ericrisco/ | 174 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 35 | Methodology for probabilistic forecasting of when and whether a future event will occur. | pymc-labs/ | 199 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 36 | TimescaleDB - PostgreSQL extension for high-performance time-series and event data analytics, hypertables, continuous aggregates, compression, and… | 2025Emma/ | 23k | 1 repo | ~750 | Automated safety check: Pass | MIT | 9 mo ago |
| 37 | Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file. | ML4ITS/ | 166 | — | ~178 | Automated safety check: Pass | MIT | 7 mo ago |
| 38 | 盒子原创行业研究 Skill 组合中的趋势分析专项。判断行业、技术、需求或商业化变化所处阶段、驱动机制、核心变量、时间关系、经营后果与证伪条件。用于“分析行业趋势或未来走向”“判断技术扩散阶段”“研究供需、需求演变或景气变化”等问题。 | hexiaofeier/ | 304 | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 39 | Looks up US and global macro series from St. Louis Fed FRED, such as CPI, GDP, Fed funds, yields, M2 and the dollar index, and reports them with units and dates. | kansoku-trade/ | 328 | — | ~1.1k | Automated safety check: Notes | Unknown | 12 days ago |
| 40 | Advanced chart types, D3.js/Vaadin Charts patterns, political data visualization, time series analysis | Hack23/ | 239 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 41 | Annual and quarterly revenue plan construction, top-down vs bottoms-up reconciliation, plan versioning, stretch goal handling, and FP&A-RevOps collaboration for B2B revenue teams. | swan-gtm/ | 171 | — | ~7.2k | Automated safety check: Pass | MIT | yesterday |
| 42 | This skill should be used when the user asks to "learn from Kaggle", "study Kaggle solutions", "analyze Kaggle competitions", or mentions Kaggle competition URLs. | Galaxy-Dawn/ | 5.7k | 1 repo | ~940 | Automated safety check: Pass | MIT | 16 days ago |
| 43 | Analyzes sales pipeline coverage and risk, tracks forecast accuracy with MAPE, and measures go-to-market efficiency for SaaS revenue teams, with text or JSON output. | alirezarezvani/ | 28k | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 44 | This skill should be used when the user asks to "analyze trends in a research area", "what is trending in X", "research landscape for topic Y", "topic trend analysis", "emerging themes in machine… | jerry609/ | 108 | — | ~904 | Automated safety check: Pass | MIT | 3 mo ago |
| 45 | Expert data scientist for advanced analytics, machine learning, and statistical modeling. | davila7/ | 32k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 46 | Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention. | Mindrally/ | 269 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 47 | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. | google/ | 22k | — | ~946 | Automated safety check: Pass | Apache-2.0 | today |
| 48 | Set up conditions for PINA problems. An agent skill from PINA-org/PINA. | PINA-org/ | 798 | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |