Agent skills by Mindrally

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.

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Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention.

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Best practices for writing Blender Python add-ons using the bpy API, covering operators, panels, properties, registration, and API-safe scripting.

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Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices.

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Clean, maintainable, human-readable code principles combined with anti-over-engineering discipline: naming, single responsibility, DRY, and scoping changes to exactly what was requested.

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Comprehensive design system guidelines for building consistent, accessible, and scalable component libraries.

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Best practices for embedded C/C++ development on STM32 microcontrollers using the HAL, covering peripherals, DMA, interrupts, memory constraints, and hardware-focused testing.

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Best practices for modern Fortran (2003/2008+) scientific and numerical computing, covering modules, explicit interfaces, kind parameters, memory safety, and testing.

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Best practices for GameMaker Language (GML) development, covering scripts, object events, rooms, data structures, and performance-minded game code.

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Branching, merging, versioning, and release conventions for the Gitflow workflow, covering main/develop branches, feature/release/hotfix branches, semantic versioning, and pull request rules.

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Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment.

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Best practices for building high-performance services with gRPC and Protocol Buffers.

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Best practices for HarmonyOS application development with ArkTS and ArkUI, covering components, state management, resources, layout, lifecycle, and accessibility.

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Best practices for Apache Kafka event streaming and distributed messaging.

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Best practices for building commerce applications with Medusa v2, the headless e-commerce framework.

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Systematic, safety-first diagnosis of developer network failures such as connection refused, DNS resolution errors, TLS certificate problems, proxy failures, and package registry timeouts.

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Focused pull request review practices with severity-ranked, file-and-line-cited findings across four angles: security, performance, tests, and architecture.

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Best practices for building performant, testable PySpark ETL pipelines with Spark SQL and Apache Iceberg.

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React Router v7 framework mode conventions for route modules, data loaders, actions, and progressive enhancement.

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Structure, tone, and content conventions for writing effective project README files, covering hooks, quick starts, feature presentation, badges, and common documentation sections.

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Best practices for ROS 2 robotics development, covering package structure, nodes, topics/services/actions, launch files, QoS, tf2 transforms, and testing.

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Right-to-left (RTL) layout and bidirectional text support for Hebrew, Arabic, Persian, and Urdu interfaces.

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DevSecOps, secure software development lifecycle (SSDLC), and application security (AppSec) practices covering secret handling, input validation, dependency hygiene, authentication/authorization…

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Reference for Snowflake Cortex AI Functions (AICOMPLETE, AICLASSIFY, AIEXTRACT, AIFILTER, etc.) and Cortex Search for building RAG applications entirely inside Snowflake.

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Best practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe.

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Best practices for Snowpark Python (DataFrames, UDFs, UDTFs, stored procedures) and dbt with the dbt-snowflake adapter.

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Modern Svelte 5 and SvelteKit development covering runes-based reactivity, snippets, SSR/SSG, and state management, including migration notes from legacy Svelte 4 syntax.

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Guidelines for building SwiftUI applications with MVVM/Clean Architecture, Swift 6 strict concurrency, and modern state management.

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Best practices for TanStack Query v5 (React Query) server state management, including query key factories, the queryOptions helper, mutations, optimistic updates, infinite queries, and Suspense mode.

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Type-safe, file-based routing for React with TanStack Router.

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Best practices for TanStack Start, the full-stack React framework built on TanStack Router and Vite/Nitro.

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Best practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras.

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Vue 3 state management with Pinia using the Composition API, covering setup stores, SSR/Nuxt integration, persistence, and testing.

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Best practices for Zustand state management in React and TypeScript applications, covering store design, selectors, middleware, SSR, and testing.

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