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Compute Rayleigh and Love wave phase/group dispersion and sensitivity kernels for one-dimensional isotropic layered Earth models. Use when forward…
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Updated 10-24 00:15
16,880 results
Compute Rayleigh and Love wave phase/group dispersion and sensitivity kernels for one-dimensional isotropic layered Earth models. Use when forward…
Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when the agent needs to: (1) Build spatially varying…
Landscape evolution and surface process modelling in Python. Build 2D numerical models for erosion, hydrology, soil transport, and geomorphology. Use when the…
Use when designing BK-CI database tables, DDL scripts, indexes, sharding, or data archiving strategies. Use preferentially when the user mentions table structures, field design, index optimization, SQL script naming, sharding, or archive migration.
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation,…
Python package for working with DICOM files. It allows you to read, modify, and write DICOM data in a Pythonic way. Essential for medical imaging processing,…
Use when you need to validate data quality, types, schemas, and consistency across systems
Reverse-engineer the current state of analytics tracking from a codebase. Scans for SDK calls, identity management, and instrumentation patterns to produce a…
Design an opinionated target tracking plan and produce an explicit delta from current state to target. Combines the product model, current-state audit, and…
Data science meta: Python + R + Julia for ML, wrangling, visualization, statistical modeling, notebooks
Analyzes game data metrics for player behavior tracking and performance optimization.
Apply causal inference methods — counterfactual framework, instrumental variables, propensity score matching, and difference-in-differences — to estimate…
Estimate AWS costs for CDK projects using real-time pricing data. Use when calculating infrastructure costs, generating pricing reports, or analyzing CDK…
Metadata management, data analysis, development changes, O&M diagnostics, and inspections for Volcengine databases (MySQL, veDB-MySQL, PostgreSQL, SQL Server, MongoDB, Redis) and public network self-built databases (MySQL and PostgreSQL series). Covers instance list query, database list query under an instance, table list query, table structure query, ...
Use when writing C# / .NET application code (also VB.NET, F#) that connects to a data source through a CData driver — after the connection and SQL have been…
Use when working with Document Mind (DocMind) via Node.js SDK to submit document parsing jobs and poll results. Designed for Claude Code/Codex document…
Build or improve a Coval dashboard with metric visualizations backed by real data. Creates new dashboards from scratch or rebuilds existing ones by analyzing…
Automatically invoke this skill whenever the user asks to refresh a semantic model or a dataset. Can also be used to manage, optimize, troubleshoot, or…
Anti-cheat adversarial analysis: EAC/BattlEye drivers, memory integrity checks, detection mechanism reconstruction. Trigger words: anti-cheat, EAC, BattlEye, memory integrity check, anti-cheat
Loads a fitted Meridian model and generates standard visualization reports: Model Results Summary. Use when the user wants to load a saved model and view…
Reverse-engineer a company's sales and marketing tech stack from public signals. Detects CRMs, cold email tools, people databases, ad pixels, email delivery…
Generate database schema visualizer operations. Auto-activating skill for Visual Content. Triggers on: database schema visualizer, database schema…
Kaggle `kernel-metadata.json` setup and repair. PROACTIVELY activate for: (1) creating kernel-metadata.json, (2) fixing metadata validation errors, (3) setting…
When analyzing a stock or investment opportunity, the user needs to evaluate it from the perspective of "buying a business" rather than "buying a stock." Language signals: "How are this stock's technicals?" / "Will the stock price go up?" / "What stocks should I buy?" Not applicable to: purely business management questions (when valuation is not involved).