Analytics

Process real-time data streams and implement streaming pipelines. Use when handling continuous data feeds, implementing event-driven processing, or building real-time analytics pipelines. NOT needed for batch file processing.

Portfolio analytics including Value at Risk (VaR), Conditional VaR, Sharpe ratio, volatility, and return calculations. Use when analyzing investment performance, measuring portfolio risk exposure, computing expected returns, calculating correlation matrices, or optimizing asset allocation. Implements both parametric and historical risk models.

Create visual and logical maps of network topology. Use this skill when documenting network infrastructure, identifying network segments, or creating diagrams of discovered systems.

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

Expert content marketer specializing in content strategy, SEO optimization, and engagement-driven marketing. Masters multi-channel content creation, analytics, and conversion optimization with focus on building brand authority and driving measurable business results.

Expert SEO strategist specializing in technical SEO, content optimization, and search engine rankings. Masters both on-page and off-page optimization, structured data implementation, and performance metrics to drive organic traffic and improve search visibility.

Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.

Expert on integrating Shelby Protocol decentralized storage into applications. Helps with use case evaluation, architecture design, migration strategies, cost optimization, performance tuning for video streaming, AI training, data analytics, content delivery, and read-heavy workloads. Triggers on keywords integrate Shelby, decentralized storage integration, video streaming storage, AI training data, data analytics storage, migration to Shelby, storage architecture, content delivery, Shelby use case.

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.

Automated data visualization for EDA, model performance, and business reporting. Activates for "visualize data", "create plots", "EDA", "exploratory analysis", "confusion matrix", "ROC curve", "feature distribution", "correlation heatmap", "plot results", "dashboard". Generates publication-quality visualizations integrated with SpecWeave increments.

Product roadmap and feature prioritization expert. Creates product roadmaps, prioritizes features using RICE/MoSCoW/Kano frameworks, defines success metrics and KPIs, and translates technical decisions into business impact. Activates for roadmap, prioritization, RICE, MoSCoW, Kano, product planning, feature ranking, success metrics, KPIs, stakeholder communication, business impact, Q1 Q2 Q3 Q4 planning, quarterly goals, release planning, feature prioritization.

Computer vision ML pipelines for image classification, object detection, semantic segmentation, and image generation. Activates for "computer vision", "image classification", "object detection", "CNN", "ResNet", "YOLO", "image segmentation", "image preprocessing", "data augmentation". Builds end-to-end CV pipelines with PyTorch/TensorFlow, integrated with SpecWeave increments.

ksqlDB stream processing expert. Covers SQL-like queries on Kafka topics, stream and table concepts, joins, aggregations, windowing, materialized views, and real-time data transformations. Activates for ksqldb, ksql, stream processing, kafka sql, real-time analytics, windowing, stream joins, table joins, materialized views.

Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging production issues.

Guidance for SAM-based cell segmentation and mask conversion tasks involving MobileSAM, mask-to-polygon conversion, CSV processing, and command-line interface design. This skill applies when working with Segment Anything Model (SAM) for biological image segmentation, converting binary masks to polygon coordinates, processing microscopy data, or building CLI tools that interface with deep learning models. (project)

This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segmentation pipelines, converting masks to polygons, processing CSV-based coordinate data, or integrating deep learning segmentation models into processing scripts.

Create or update Next.js server actions for blog and analytics functionality. Use when adding form handlers, data mutations, or server-side logic in the web app.

Guidance for extracting memory values from ELF (Executable and Linkable Format) binary files. This skill should be used when parsing ELF headers, extracting LOAD segments, dumping memory addresses and values, or converting binary data to structured output formats like JSON. Covers proper handling of 32-bit vs 64-bit ELF files, endianness, and segment types.

Guidance for extracting and processing data from ELF (Executable and Linkable Format) binary files. This skill should be used when tasks involve parsing ELF headers, reading program segments, extracting memory contents, or converting binary data to structured formats like JSON. Applicable to reverse engineering, binary analysis, and memory dump extraction tasks.