Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes React application development through standardized hooks, composition patterns, and performance-tuned implementation strategies.
Diagnoses and automatically fixes failing CI checks for Docker-based Pull Requests on GitHub and GitCode.
Coordinates specialized AI sub-agents to manage complex, multi-domain development tasks through structured communication and token-efficient delegation.
Facilitates collaborative requirement gathering and architectural design before any code implementation begins.
Analyzes dbt project structures, lineage, and dependencies using a multi-agent RAG workflow to automate documentation and code generation.
Generates professional hotel investment analysis reports and HTML presentations using real-time economic, tourism, and market data for Chinese cities.
Implements scalable, themeable design systems using SCSS Modules, CSS Cascade Layers, and a semantic two-tier token architecture.
Implements high-performance data fetching and caching patterns using the stale-while-revalidate strategy in React applications.
Optimizes and refactors dbt models to improve SQL performance and data transformation efficiency.
Generates structured technical specifications and quality checklists from natural language feature descriptions.
Analyzes R machine learning code to detect data leakage, resampling violations, and workflow anti-patterns using tidymodels principles.
Provides a systematic four-stage framework for diagnosing, designing, planning, and verifying software bug fixes.
Streamlines data preprocessing and feature engineering using R's Tidymodels recipes framework.
Performs comprehensive MCMC diagnostic checks and posterior predictive assessments for Bayesian models implemented in Stan or JAGS.
Automates complex Git workflows including branch management, version tagging, and standardized commit tracking for software projects.
Integrates comprehensive testing frameworks and generates automated scripts to ensure software reliability and high code quality.
Provides a prioritized framework and actionable fixes for security vulnerabilities, technical debt, and repository hygiene in audit reports.
Automates data quality testing and results analysis using dbt and dbt-expectations to maintain high-integrity data pipelines.
Generates sophisticated generative art and computational philosophies using p5.js and seeded randomness.
Implements industry-standard clinical trial design and statistical analysis workflows using regulatory-compliant R packages.
Provides expert guidance and R implementation patterns for survival analysis methods and non-proportional hazards in clinical trials.
Optimizes digital content for search visibility, user engagement, and conversion rates across multiple platforms and formats.
Implements production-grade React animations using Motion patterns for declarative UI transitions, gestures, and scroll effects.
Performs comprehensive genomics and bioinformatics statistical analysis using Bioconductor and R tidy modeling workflows.
Optimizes machine learning models using advanced hyperparameter tuning strategies within the R tidymodels ecosystem.
Implements advanced Bayesian survival and time-to-event models with support for censoring and frailty effects.
Performs causal inference using genetic variants as instrumental variables through comprehensive R-based Mendelian Randomization workflows.
Provides comprehensive methodological guidance for Multilevel Network Meta-Regression (ML-NMR) using the multinma package and NICE DSU standards.
Creates, edits, and analyzes PowerPoint presentations using programmatic HTML-to-PPTX workflows and raw XML manipulation.
Generates high-quality KDoc comments and configures Dokka for automated Kotlin Multiplatform documentation pipelines.
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