Explore our collection of Agent Skills to enhance your AI workflow.
Automates the parsing, tracking, and systematic application of code review feedback and PR suggestions.
Decodes and analyzes the core architectural signals of the X recommendation engine, including SimClusters, RealGraph, and TweepCred.
Guides security professionals in architecting defense-in-depth systems and achieving compliance with industry frameworks like SOC2, ISO27001, and GDPR.
Automatically scans, extracts data from, and systematically organizes messy invoice and receipt files for effortless tax preparation and bookkeeping.
Integrates Amazon Bedrock foundation models into Java applications using the AWS SDK 2.x for text, image, and embedding generation.
Implements systematic evaluation strategies for AI applications using automated metrics, human feedback loops, and LLM-as-judge patterns.
Analyzes meeting transcripts to uncover communication patterns, behavioral insights, and actionable leadership feedback.
Automates shell script testing using the Bash Automated Testing System (Bats) to ensure robust, production-grade CLI utilities and scripts.
Provides production-ready GitHub Actions workflow templates for automated testing, containerization, and cloud deployment.
Combines semantic vector similarity with keyword-based retrieval to maximize search recall and accuracy in AI applications.
Configures and optimizes Static Application Security Testing (SAST) tools to automate vulnerability detection within development workflows.
Streamlines the transition from legacy AngularJS to modern Angular using hybrid strategies and incremental component rewriting.
Implements Event-Driven Architecture (EDA) patterns in Spring Boot applications using Kafka, domain events, and transactional listeners.
Automates database schema and data migrations with zero-downtime strategies and robust rollback procedures across multiple ORMs.
Designs and implements robust event stores for event-sourced systems using various database technologies and architectural patterns.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge bases and vector databases.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to validation and production deployment.
Deploys and scales Python functions, ML models, and GPU-intensive tasks on serverless cloud infrastructure with minimal configuration.
Configures and manages mutual TLS (mTLS) for secure, zero-trust service-to-service communication in cloud-native architectures.
Configures and optimizes Nx monorepo workspaces through structured architecture, module boundaries, and advanced CI caching strategies.
Generates concise, evidence-based medical treatment plans and clinical documentation in professional LaTeX/PDF formats.
Generates publication-quality scientific diagrams and neural network architectures with AI-powered quality review.
Design and implement efficient read models and materialized views from event streams for event-sourced architectures.
Generates and manages structured implementation plans and architectural overviews for complex software development tasks.
Implements high-performance concurrent Python applications using advanced asyncio and non-blocking patterns.
Implements production-grade reliability and safety standards into Bash scripts using robust error handling and defensive programming techniques.
Validates Looper-Go behavior by executing an automated smoke test in a isolated, temporary project environment.
Automates web browser interactions for testing, data extraction, and workflow automation within Claude Code.
Automates the generation of standardized changelogs and release notes using Conventional Commits and Semantic Versioning.
Implements defense-in-depth security for Kubernetes clusters through network isolation, RBAC, and pod security standards.
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