
Claude Skills by lxyeternal
github.com/lxyeternalConduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
Collect Deepgram debug evidence for support and troubleshooting. Use when preparing support tickets, investigating issues, or collecting diagnostic information for Deepgram problems. Trigger with phrases like "deepgram debug", "deepgram support", "collect deepgram logs", "deepgram diagnostic", "deepgram debug bundle".
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Analyze DeFi protocol vulnerabilities, exploit patterns, and attack vectors for security research and threat modeling. Assists with reverse-engineering malicious smart contracts and documenting attack methodologies. Trigger with phrases like "analyze exploit", "document vulnerability", or "threat model DeFi protocol".
Real-time DeFi liquidity pool monitoring and yield optimization across Solana protocols. Track TVL, APY, impermanent loss, and arbitrage opportunities.
Advanced DeFi liquidity analysis tool for yield optimization, pool evaluation, and protocol selection across multiple chains.
Advanced DeFi liquidity pool simulator for modeling AMM dynamics, impermanent loss scenarios, and arbitrage opportunities before mainnet deployment.
Generate market intelligence narratives and analytical summaries for DeFi protocols, token economics, and cross-chain activity patterns
Expert DeFi protocol engineer specializing in automated market makers, liquidity pools, yield optimization, and tokenomics design. Provides comprehensive technical guidance on protocol architecture, smart contract implementation, and economic security analysis.
DeFi protocol interaction skill for Uniswap, Aave, Compound, and other major DeFi protocols
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
Validates DeFi protocol security, smart contract integrity, and liquidity pool health. Use when auditing decentralized finance protocols or assessing protocol risks. Trigger with phrases like "validate DeFi protocol", "audit smart contract", or "check liquidity pool".
Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).
@delon/acl skill - Access Control List for role-based permissions and UI element visibility. For ng-events construction site progress tracking system.
Implement caching strategies using @delon/cache. Use this skill when adding memory cache, LocalStorage cache, SessionStorage cache, or cache interceptors for HTTP requests. Supports TTL-based expiration, cache invalidation, cache grouping, and persistent storage. Optimizes performance by reducing redundant API calls and database queries.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.
Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.
Comprehensive framework for optimizing deployment pipelines, infrastructure provisioning strategies, and release velocity across cloud-native and hybrid environments
Automated deployment validation and rollback system for production releases. Provides checkpoint verification, canary analysis, and automated rollback procedures with comprehensive monitoring integration.
Orchestrate production deployments with automated rollback, canary analysis, and emergency incident response for mission-critical services.
Validates deployment readiness through automated gate checks, environment verification, and release checkpoint orchestration for production pipelines
Use when documenting infrastructure decisions, creating deployment guides, or explaining architectural choices for production systems
Coordinate multi-cloud infrastructure deployments through unified workflow automation, managing terraform, kubernetes, and cloud-native services across AWS, Azure, and GCP environments.
Orchestrates project deployment workflows with automated launch readiness and confidential data management.
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
Validates deployment readiness and compliance requirements before production releases. Performs automated safety checks, dependency verification, and rollback planning.
Creates comprehensive Design Docs optimized for AI-driven development. Use when starting a new feature, documenting technical solutions, or before executing development tasks. Conducts iterative interviews to gather complete context, then generates structured documentation following a strict template.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order. Prevents premature implementation, skipped validation, and unreviewed high-risk designs.
Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL sch...
Use this skill when designing UI/UX, creating dashboards, building SaaS interfaces, or reviewing frontend design. Provides S-tier design checklist inspired by Stripe, Airbnb, and Linear.
Design system architecture toolkit for creating scalable, accessible component libraries. Includes token generation, system documentation, responsive calculations, and cross-team collaboration tools.
Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.
Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.
Electron desktop development guide. Use when implementing desktop features, IPC handlers, controllers, preload scripts, window management, menu configuration, or Electron-specific functionality. Triggers on desktop app development, Electron IPC, or desktop local tools implementation.
Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.
This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unusual data points. Use this skill when the user requests anomaly detection, outlier analysis, or identification of unusual patterns in data. Trigger this skill when the user mentions "anomaly detection," "outlier analysis," "unusual data," or requests insights into data irregularities.
This skill uses the database-deadlock-detector plugin to detect, analyze, and prevent database deadlocks. It monitors database lock contention, analyzes transaction patterns, and suggests resolution strategies. Use this skill when the user asks to "detect database deadlocks", "analyze deadlock causes", "monitor database locks", or any requests related to database deadlock prevention and resolution. This skill is particularly useful for production database systems experiencing recurring deadlo...
This skill uses the database-deadlock-detector plugin to detect, analyze, and prevent database deadlocks. It monitors database lock contention, analyzes transaction patterns, and suggests resolution strategies. Use this skill when the user asks to "detect database deadlocks", "analyze deadlock causes", "monitor database locks", or any requests related to database deadlock prevention and resolution. This skill is particularly useful for production database systems experiencing recurring deadlo...
This skill uses the database-deadlock-detector plugin to detect, analyze, and prevent database deadlocks. It monitors database lock contention, analyzes transaction patterns, and suggests resolution strategies. Use this skill when the user asks to "detect database deadlocks", "analyze deadlock causes", "monitor database locks", or any requests related to database deadlock prevention and resolution. This skill is particularly useful for production database systems experiencing recurring deadlo...