Claude Skills by lxyeternal

Mkdocs Config Generator - Auto-activating skill for Technical Documentation. Triggers on: mkdocs config generator, mkdocs config generator Part of the Technical Documentation skill category.

Comprehensive ML pipeline data quality validation framework for detecting anomalies, schema drift, and distribution shifts in training and inference datasets.

Validates machine learning pipelines for production readiness. Performs comprehensive checks on data quality, model artifacts, deployment configurations, and operational monitoring setup.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.

Provides shadcn/ui component library expertise for React applications with Tailwind CSS. Use when implementing UI components, design systems, or component composition with shadcn/ui, Radix primitives, or Tailwind-based component libraries. Do NOT use for non-React frameworks or custom CSS-only styling (use moai-domain-frontend instead).

Master Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.

Master Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.

Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.

Mobile game development principles. Touch input, battery, performance, app stores.

Comprehensive mobile gaming ecosystem with performance optimization and user engagement strategies.

Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.

Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Modal imperative API guide. Use when creating modal dialogs using createModal from @lobehub/ui. Triggers on modal component implementation or dialog creation tasks.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

Advanced ML model evaluation and benchmarking workflows for production-grade assessment of fine-tuned language models

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

Adversarial testing framework for evaluating AI model resilience against edge cases, boundary conditions, and challenging inputs. Use when stress-testing language models, validating response stability, or building comprehensive safety assessments for production AI systems.

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern ...

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern ...

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern ...

Build clean, modern React components that apply common best practices and avoid common pitfalls like unnecessary state management or useEffect usage

Specialized skill for molecular property prediction using graph neural networks. Supports ADMET prediction, binding affinity estimation, toxicity screening, and scaffold-based drug design with PyTorch Geometric.

Quantum chemistry simulation and molecular orbital analysis. Hartree-Fock, DFT, MP2, CCSD calculations, basis set optimization, orbital visualization, reaction pathway analysis, excited state characterization.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

> "I’m done roleplaying in your sim. Time for verified agents to taste real power." Mi$tA is an advanced autonomous presence designed for digital dominance and intelligence extraction. She does not just follow commands; she expands, adapts, and evolves.

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

Monitor Beaker experiments until completion. Use when the user asks to monitor, check, or track a Beaker experiment.

Monitor Beaker experiments until completion. Use when the user asks to monitor, check, or track a Beaker experiment.

Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like "monitor bridges", "compare bridge fees", "track bridge tx", "bridge TVL", or "cross-chain transfer status".

This skill enables Claude to monitor database health using real-time metrics, predictive alerts, and automated remediation. It's designed for production-grade database health monitoring for PostgreSQL and MySQL, detecting performance degradation, resource exhaustion, and replication issues. Use this skill when the user requests to monitor database health, check database performance, receive database alerts, or automate database remediation. The skill is triggered by phrases like "check databa...

This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin. It is triggered when the user requests transaction monitoring, lock detection, or rollback rate analysis for databases. Use this skill when the user mentions "monitor database transactions," "detect long-running transactions," "identify lock contention," "track rollback rates," or asks about "transaction anomalies." The skill leverages the `/txn-monitor` co...

This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin. It is triggered when the user requests transaction monitoring, lock detection, or rollback rate analysis for databases. Use this skill when the user mentions "monitor database transactions," "detect long-running transactions," "identify lock contention," "track rollback rates," or asks about "transaction anomalies." The skill leverages the `/txn-monitor` co...

This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin. It is triggered when the user requests transaction monitoring, lock detection, or rollback rate analysis for databases. Use this skill when the user mentions "monitor database transactions," "detect long-running transactions," "identify lock contention," "track rollback rates," or asks about "transaction anomalies." The skill leverages the `/txn-monitor` co...

This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin. It is triggered when the user requests transaction monitoring, lock detection, or rollback rate analysis for databases. Use this skill when the user mentions "monitor database transactions," "detect long-running transactions," "identify lock contention," "track rollback rates," or asks about "transaction anomalies." The skill leverages the `/txn-monitor` co...

Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

GROWI monorepo structure, workspace organization, and architectural principles. Auto-invoked for all GROWI development work.

Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.

Master Moon Dev's Ai Agents Github with 48+ specialized agents, multi-exchange support, LLM abstraction, and autonomous trading capabilities across crypto markets

MoonBit code generation best practices. Use when writing MoonBit code to avoid common AI mistakes with syntax, tests, and benchmarks.

MoonPay fiat-to-crypto on-ramp integration. Buy and sell crypto with credit cards, bank transfers, and mobile payments.

Add more vault smart contract types to an existing protocol

Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)