Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
Develop ICP canister backends using Motoko. Covers actors, types, async patterns, stable memory, upgrades, access control, and error handling. Use when writing Motoko code, creating canisters,...
Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and LLM output validation for JARVIS AI...
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When the user wants to create or update a README.md file for a project. Also use when the user says "write readme," "create readme," "document this project," "project documentation," or asks for...
When the user wants to create or update a README.md file for a project. Also use when the user says "write readme," "create readme," "document this project," "project documentation," or asks for...
Advanced Software Architecture Masterclass. Implements Clean Architecture, Hexagonal (Ports & Adapters), and DDD for 2026 ecosystems (Next.js 16.2, React 19.3, Node.js 24). Optimized for AI-driven...
Postgres performance optimization and best practices from Supabase. Query performance, connection pooling, Row Level Security, schema design, and diagnostics.
Kubernetes deployment, cluster architecture, security, and operations. Includes manifests, Helm charts, RBAC, network policies, troubleshooting, and production best practices. Trigger keywords:...
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data,...
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data,...
Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs,...
Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs,...
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection,...
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean,...
Refactor and clean code using SOLID principles, clean code patterns, and modern best practices. Use when the user asks to refactor code, improve code quality, fix code smells, apply design...
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"Guidelines and best practices for integrating and using the Google Firebase SDK in Swift (for Apple platforms) and TypeScript (for web/Node), covering setup, architecture, data handling,...