Data & Analytics

Analyze Field Labs coaching transcription data, calculate session metrics, and generate daily summaries. Use for processing Fieldy voice transcriptions and creating coaching reports.

Archive and retrieve field session data for cross-session memory continuity.

Complete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale co...

Expert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, or conducting hypothesis tests. Covers regression types (OLS, Ridge, Lasso, GAMs), Monte Carlo frameworks, regression-to-mean analysis, and statistical best practices for player performance modeling.

Expert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting appropriate ML algorithms, or addressing sports-specific ML challenges. Covers feature engineering patterns, model selection frameworks, validation strategies, and interpretability techniques for fantasy football analytics.

Expert guidance on dynasty fantasy football strategies, player valuation frameworks, roster construction, trade evaluation, and asset management. Use this skill when analyzing dynasty trades, evaluating player value, designing roster strategies, assessing competitive windows, or answering fantasy football domain questions. Covers VoR/VBD methodologies, aging curves, market inefficiencies, draft pick valuation, and win-now vs rebuild strategies.

Use when implementing models that learn from minimal data or need to adapt to new market regimes rapidly. Covers episodic learning, context sets, support and query sequences, zero-shot vs few-shot learning, meta-learning for finance, transfer learning across assets and regimes, and quick adaptation to market changes.

Version features for offline and online serving.

Manual invocation only; use only when the user explicitly requests `explore-dnn-model` by name. Explore how to run a given DNN model checkpoint in the current Python environment by locating weights + upstream source code, resolving dependencies with user confirmation, running reproducible experiments under `tmp/`, and producing reports about I/O contracts, timing, and profiling.

Scan lyrics for explicit content, verify explicit flags match actual content

Integrate Trackio for experiment tracking in Kaggle competitions. Use PROACTIVELY when user trains models, logs metrics, or manages experiments. Keywords: 実験, 訓練, train, training, tracking, metrics, 指標, ログ

Analyze GRPO training runs for learning dynamics and pipeline performance. Use when diagnosing training issues, reviewing Elo progression, checking throughput, or updating experiment results.

Generate pivot tables and charts from raw data using natural language - analyze sales by region, summarize data by category, and create visualizations effortlessly

Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed.

分析Excel/CSV字段结构，AI自动生成中英文映射，验证翻译质量，输出统计报告。用于电子表格分析、数据字典创建、字段映射场景。

Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.

計算資產價格相對長期指數成長趨勢線的偏離度，衡量當前是否處於歷史極端區間，並可選擇性地進行宏觀因子分析以判斷行情體質。

Balance escape room difficulty, timing, and hint systems to achieve 60-70% completion rate. Designs progressive difficulty curves, three-tier hint systems, stuck-point analysis, and playtest metrics. Use when balancing game difficulty, designing hint systems, analyzing playtest data, or optimizing escape room completion rates.

Model compression techniques including quantization, pruning, and knowledge distillation for edge deployment

Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML utilities (Sklearn preprocessing, metrics, splits), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optu...

Master orchestrator for batch earnings analysis

Understand and work with mortgage document types and classification. Use when asking about document types, adding new document support, debugging classification, or understanding what DocType constants mean.

Process scanned documents and images containing Chuukese text using OCR with specialized post-processing for accent characters and traditional formatting. Use when working with scanned books, documents, or images that contain Chuukese text that needs to be digitized.

Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.