15,070 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Common design patterns with Java examples (Factory, Builder, Strategy, Observer, Decorator, etc.). Use when user asks "implement pattern", "use factory", "strategy pattern", or when designing extensible components.
ONLY for writing backend or fullstack code BY HAND. NOT needed on the normal path — createartifact(fullstack-stateless-app or fullstack-stateful-app) followed by generateartifact writes the backend, verifies it by importing it and launches it. Recall this when editing an existing fullstack artifact, or when…
Review Ruby/Rails code like DHH would - direct, opinionated, allergic to over-engineering. Use when the user runs /dhh or asks for a DHH-style review of a diff, file, or recent changes.
A set of conventions for writing, reviewing, refactoring and explaining Java and Spring Boot code. It covers common application layers such as controllers, services and data-access code, while allowing repository-specific rules to take priority.
Create, revise, and troubleshoot publication-ready scientific plots in Python with cnsplots, including distribution, regression, heatmap, genomics, survival, set, flow, and multi-panel figures. Use when a user asks for cnsplots code, Cell/Nature/Science-style visualization, precise physical figure dimensions…
Definitive guide to building CLI applications with Cobra and Viper — command-first architecture, configuration management, environment variable binding, and in-memory CLI testing. Written by spf13, the original creator of both libraries.
Use this skill when working with bnlearn for causal discovery; a Python library for Bayesian modeling, probabilistic graphical models, causal discovery, parameter learning, structure learning, inference, do-why calculus (dowhy), sampling, and directed acyclic graphs (DAG).
Install Python packages, access Python CLI, run python code and scripts, execute Python commands, and manage Python environments. Use uv run for all Python execution instead of direct python commands.
Use when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. Covers imports, data loading, DataFrame operations, expression building, SQL-to-DataFrame mappings, idiomatic patterns, and common pitfalls.
Integrate and build on @alpacahq/alpaca-trade-api, the Alpaca JavaScript/TypeScript SDK for the Trading and Market Data APIs (the unified Alpaca client, ergonomic order builders, normalized market-data shapes, pagination, typed errors, resilience, and real-time streaming). Use when writing or reviewing code that…
Use when designing, importing, querying, or modernizing Neo4j knowledge graphs from CSV, Excel, pandas, Cypher, py2neo, the official neo4j Python driver, vector indexes, or GraphRAG workflows.
Production-grade rules and workflows for Laravel REST APIs built with essa/api-tool-kit. 21 rule files and 8 guided workflows covering every layer of a Laravel API including DDD support.
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