Data & Analytics

Oracle Family Registry — the index of all known Oracles (800+ and growing). Use when user says "family scan", "oracle registry", "welcome new oracles", or needs to check Oracle population.

{{LANGUAGE_NAME}} best practices with modern frameworks, {{PRIMARY_DOMAIN}}, and performance optimization for 2025

This skill should be used when the user asks to "brainstorm app ideas", "design a ChatGPT app", "what kind of app should I build", "MCP app concept", "ideate widget UX", "plan conversational experience", "design for ChatGPT", or needs help generating and evaluating user experience concepts for OpenAI Apps SDK MCP applications.

Analyze Manifold Markets prediction market data. Use when processing HTML exports or trade history from manifold.markets to create visualizations of trading volume, trader leaderboards, probability movements, and market dynamics. Triggers on requests involving Manifold Markets data, prediction market analysis, or when user uploads Manifold HTML files.

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

Use when user asks to write Yakit Web Fuzzer hotpatch code, including custom fuzztag functions, beforeRequest, afterRequest, mirrorHTTPFlow, retryHandler, customFailureChecker, or mockHTTPRequest hooks. Also use when dealing with CSRF token bypass, encrypted payload brute-force, or custom data extraction in Web Fuzzer.

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

Generates The Edmund Bogen Team's weekly market intelligence package: email, article page, dashboard, and community listings pages. Guides team through data collection, validates consistency, and produces all HTML assets ready for deployment to Constant Contact and GitHub.

Create data-driven charts with Vega-Lite (simple) and Vega (advanced). Best for bar, line, scatter, heatmap, area charts, and multi-series analytics. Use when you have numeric data arrays needing statistical visualization. Vega for radar charts and word clouds. NOT for process diagrams (use mermaid) or quick KPI cards (use infographic).

Validate historical data completeness and quality over date ranges

Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

--> --- name: 'pdx-model-analysis-agent' description: 'AI-powered analysis of patient-derived xenograft (PDX) models for drug response prediction, translational research, and personalized treatment selection.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- The **PDX Model Analysis Agent** provides AI-driven analysis of patient-derived xenograft models for preclinical drug testing, translational re...

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.

Read local Markdown TODO files (supports Chinese/English), analyze task completion status, and generate beautiful single-page HTML dashboards with timeline visualization, interactive task lists, and persistent progress tracking.

Convert text to speech using Kyutai's Pocket TTS. Use when the user asks to "generate speech", "text to speech", "TTS", "convert text to audio", "voice synthesis", "generate voice", "read aloud", or "create audio from text". Supports voice cloning from audio samples and multiple pre-made voices (alba, marius, javert, jean, fantine, cosette, eponine, azelma).

--> --- name: 'mrd-edge-detection-agent' description: 'Ultra-sensitive AI-powered molecular residual disease detection using MRD-EDGE deep learning for sub-0.001% VAF ctDNA detection and early relapse prediction.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- The **MRD-EDGE Detection Agent** implements the MRD-EDGE (Enhanced Detection of ctDNA through Genomic Error suppression) deep learning algo...

Sports data for prediction market trading. Get live scores, team stats, schedules, and injury reports for NFL, NBA, MLB, NHL.

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

--> --- name: 'liquid-biopsy-analytics-agent' description: 'Comprehensive analysis of liquid biopsy data (ctDNA, CTCs) for cancer detection, MRD monitoring, and response tracking.' keywords: - liquid-biopsy - ctdna - mrd - cancer-detection - treatment-response measurable_outcome: 'Detects circulating tumor DNA with 0.01% sensitivity and accurately predicts treatment response in longitudinal samples.' allowed-tools: - read_file - run_shell_command --- The **Liquid Biopsy Analytics Agent** prov...

AI-powered spatial integration of multi-omics datasets using probabilistic alignment for comprehensive tissue atlas construction and cellular state mapping.

Query 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.

Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.