Explore our collection of Agent Skills to enhance your AI workflow.
Navigates complex FDA regulatory pathways, QSR compliance, and HIPAA requirements for medical device and healthcare software development.
Implements distributed tracing with Jaeger and Tempo to monitor request flows and optimize performance across microservices.
Executes complex development plans by dispatching specialized subagents with mandatory two-stage quality reviews.
Designs and optimizes high-performance REST and GraphQL APIs using industry-standard patterns and implementation best practices.
Automates the design, implementation, and optimization of complex business process workflows and orchestration patterns.
Implements measurable reliability targets using SLIs, SLOs, and error budgets to balance system stability with development velocity.
Discovers and installs specialized agent capabilities from the open Vercel agent skills ecosystem.
Guides users through a structured, three-stage collaborative process for drafting high-quality technical documentation and proposals.
Enforces production-grade TypeScript and React development patterns through strict type safety, component design principles, and robust error handling.
Implements resilient distributed transactions across Spring Boot microservices using orchestration and choreography patterns.
Guides medical device manufacturers through EU MDR 2017/745 compliance requirements, technical documentation, and regulatory submissions.
Provides a standardized framework and organizational structure for developing new custom capabilities within Claude Code.
Implements high-performance similarity search and vector retrieval patterns for RAG and semantic search applications.
Automates agile workflows through INVEST-compliant user story generation, backlog prioritization, and sprint capacity planning.
Implements Model Context Protocol (MCP) servers using Spring AI to extend AI capabilities with enterprise-grade Java tools and resources.
Accesses comprehensive LaTeX templates and submission guidelines for major scientific journals, conferences, and grant proposals.
Optimizes vector database performance by tuning HNSW parameters, implementing quantization, and balancing latency against recall.
Automates the staging, conventional committing, and pushing of code changes to remote repositories.
Constructs systematic attack path visualizations to identify security vulnerabilities and prioritize defensive gaps.
Executes real-time, AI-powered web searches with cited sources and scientific literature access using Perplexity models.
Implements multi-layered security architectures and ethical quality controls for AI agents and prompts.
Manages git worktrees using a centralized, hidden directory convention within the .git folder.
Designs high-performance AI agents and multi-agent systems using standardized 2025 cognitive automation patterns.
Provides a comprehensive collection of over 18 optimized prompt templates and executable agents for specialized cognitive tasks.
Empowers AI agents to self-review and correct code using 75 specialized techniques before final validation.
Streamlines the retrieval of demographic, economic, and housing data from the US Census Bureau API.
Measures and compares prompt efficacy through A/B testing, performance metrics, and detailed analytical reports.
Manages multiple Git branches simultaneously using worktrees to streamline context switching and parallel development.
Cleans up Git worktrees associated with merged GitLab or GitHub branches to reclaim disk space and organize your workspace.
Automates Keycloak OIDC integration with Harness pipelines and Amazon EKS infrastructure using realm-as-code patterns.
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