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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 1,273–1,296 of 12,625 skills
- Dan Bin Rose Of TimeA股但斌"时间的玫瑰"伟大企业投资法：长坡（营收CAGR成长跑道）、厚雪（高毛利率定价权）、复利引擎（连续5年ROE）、时间的玫瑰（持续分红）、盈利含金量、财务健康、成长质量七维打分，找"与伟大企业共成长"的传家生意 | A-share Dan Bin "Rose of Time" great-enterprise investing: long slope (revenue CAGR), thick snow (gross margin), compounding engine (5yr ROE), sustained dividends, cash quality, low leverage, growth consistency | A株但斌「時間の薔薇」偉大な企業投資法：長い坂（売上CAGR）、深い雪（粗利率）、複利エンジン（5年ROE）、持続配当、キャッシュの質、低負債、成長の一貫性の7次元Votes: 0GitHub stars: 19
- Bogle Index InvestingA股约翰·博格指数投资法：宽基指数PE/PB近10年分位估值温度计、博格公式预期收益三项拆解（股息率+盈利增速+估值回归）、定投档位参考、月定投vs一次性买入回测，践行"低成本、广分散、买入持有" | A-share John Bogle index investing: PE/PB 10-year percentile thermometer, Bogle's three-component expected return decomposition, DCA pacing guide, monthly DCA vs lump-sum backtest | A株ジョン・ボーグル・インデックス投資法：PE/PB10年パーセンタイル温度計、ボーグル式期待リターン3分解、積立レベル目安、月積立vs一括投資のバックテストVotes: 0GitHub stars: 19
- Optimize For GpuGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and...Votes: 0GitHub stars: 10
- Imaging Data CommonsQuery and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.Votes: 0GitHub stars: 10
- DaskDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.Votes: 0GitHub stars: 10
- ShapModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box mo...Votes: 0GitHub stars: 10
- Spikfax Second Order SnnSecond-order KFAC optimizer for SNN training (SpiKFAX).Votes: 0GitHub stars: 3
- W1 Robust Quantum SteinStein exponent robust to W1 Wasserstein almost-iid sources (arXiv 2609.17309).Votes: 0GitHub stars: 3
- Permutation Entropy Artifact Robust EegUse on raw EEG; ordinal entropy survives blink artifacts.Votes: 0GitHub stars: 3
- Ts Validation Impossible TrinityUse when validating time-series models. Prices the causality law.Votes: 0GitHub stars: 3
- Syndrome Mediated Deterministic T GatesUse when implementing fault-tolerant logical T gates on stabilizer codes.Votes: 0GitHub stars: 3
- Sensory Aligned Receptive Fields ExpressivityTask-aligned receptive fields are a computational prior beyond sparsity; value shrinks as single-neuron expressivity grows. Use for wiring priors in SNNs.Votes: 0GitHub stars: 3
- Prototrigger Atdm BciUse for ATDM BCI: prototype-based EEG evidence encoding.Votes: 0GitHub stars: 3
- AnalyticsUse this skill when the user needs to set up analytics, design event tracking, define key metrics, build funnels, or instrument their SaaS product for data-driven decisions. Covers event naming conventions, tracking strategy, funnel analytics, and data quality.Votes: 0GitHub stars: 251
- douyin-viral-analysis把一个抖音账号的爆款作品全流程拆解成数据 —— 采集作品与互动数据、按内容类型分类、量化画风（墨/留白/灰/彩色占比、色相、调色板）、量化文案（结构、句式、文字位置、高频词）、算指标相关性，产出通用「数据速览」页与 PDF，再由 AI 基于 JSON 撰写结论。当用户要「分析某个抖音账号的爆款 / 拆解某账号的内容规律 / 做抖音账号诊断 / 看某账号的画风文案数据 / 竞品内容分析」时使用。同时支持图文号和视频号（视频号自动跳过画面 OCR 与画风量化）。Votes: 0GitHub stars: 3
- Compensation BenchmarksThis skill should be used when the user asks about "salary ranges", "equity grants", "compensation benchmarks", "how much to pay", "competitive offer", "market rate", "startup compensation", "equity percentages", "option grants", or mentions specific compensation questions like "what should I pay a senior engineer" or "how much equity for a VP".Votes: 0GitHub stars: 2
- Cloudbase Document Database Web SdkUse CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.Votes: 0GitHub stars: 2
- Classify LifestylesClassify lifestyle categories for all biographical stories. Use when asked to classify or reclassify lifestyles.Votes: 0GitHub stars: 2
- Chart VisualizationThis skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a Python script.Votes: 0GitHub stars: 2
- Campaign AnalyticsAnalyze campaign content patterns, character relationships, and narrative developmentVotes: 0GitHub stars: 2
- Camera PruningCamera 微专家剪枝方法。基于微专家能量估计的 MoE 模型结构化剪枝。Votes: 0GitHub stars: 2
- Cache Components 1Ensure 'use cache' is used strategically to minimize CPU usage and ISR writes. Use when creating/modifying queries to verify caching decisions align with data update patterns and cost optimization.Votes: 0GitHub stars: 2
- Bv IntegrationBeads Viewer (BV) integration for visual task management and smart task selection. Use for Kanban views, dependency graphs, and the robot-plan API for auto-selecting next tasks. Keywords: beads, viewer, kanban, dependency graph, robot-plan, task selection, bottleneckVotes: 0GitHub stars: 2
- Business Analyst 2Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.Votes: 0GitHub stars: 2