Skill UI

This skill enables comprehensive audit logging for Windsurf Enterprise deployments. It covers tracking of AI interactions, file access events, authentication changes, and overall configuration modifications. It is essential for maintaining strict compliance standards and performing detailed security audits, particularly when the user mentions audit or compliance keywords.

This skill manages the integration of Model Context Protocol (MCP) servers with Windsurf, significantly extending its operational capabilities. It enables Windsurf to interact with external resources, including databases, file systems, APIs, and custom tools through a standardized protocol. Use this when configuring or utilizing advanced, external tool integrations within the Windsurf environment.

Codified expertise for sequencing work orders, balancing discrete and batch lines, reducing changeover time, and shielding bottlenecks using FCS, DBR, and SMED so manufacturing meets commitments despite disruptions.

Guides medical device teams through preparing ISO 13485:2016 Quality Management System documentation by combining gap analysis, requirements references, templates, and step-by-step creation workflows for manuals, procedures, and compliance artifacts.

A powerful tool for architecting production-grade multi-agent workflows. It allows users to define complex, multi-step AI pipelines using structured patterns (sequential, parallel, hierarchical). Key features include defining explicit handoff contracts, implementing robust failure handling, and managing context/cost discipline across long-running processes, ensuring reliable and scalable AI system deployment.

Generates practical and robust CI/CD pipelines by programmatically detecting the project's entire technology stack (language, runtime, tooling). It provides fast baseline setup for GitHub Actions or GitLab CI, ensuring repeatability, environment awareness, and alignment with project dependencies. Ideal for onboarding new repositories, standardizing DevOps workflows, or migrating existing deployment processes.

A comprehensive guide for managing secrets and environment variables throughout the entire development lifecycle, from local development to production. This skill covers secret leak auditing (detecting committed credentials), implementing robust rotation workflows, and integrating with industry-leading secret stores like HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault. Essential for hardening CI/CD pipelines and ensuring compliance.

A comprehensive toolkit for navigating, optimizing, and managing large monorepos built with JavaScript/TypeScript. It supports industry-leading tools like Turborepo, Nx, pnpm, and Lerna. Key features include cross-package impact analysis, selective builds, remote caching, dependency graph visualization, and structured migrations, ensuring fast, reliable CI/CD pipelines for complex codebases.

This comprehensive profiler provides systematic performance analysis for modern applications built with Node.js, Python, and Go. It detects critical bottlenecks across CPU, memory, and I/O dimensions. Key features include generating flamegraphs, analyzing bundle sizes, optimizing database queries (N+1 detection), and running rigorous load tests using k6 and Artillery. It mandates before-and-after measurements to ensure verifiable performance improvements.

This powerful tool generates comprehensive operational runbooks from a service name. It structures critical workflows, including deployment, incident response, maintenance, and rollback procedures. It is essential for standardizing on-call procedures, ensuring consistent incident handling across teams, and quickly documenting services before production launch.

Submit and manage autonomous lab protocols on Ginkgo Cloud Lab, leveraging RACs for cell-free protein expression validation/optimization, fluorescent pixel art, EstiMate AI assessments, and guided ordering of sample inputs through the web interface.

An expert guide detailing the SuperScalar protocol and Bitcoin Lightning channel factories. It explains scalable onboarding mechanisms using shared UTXOs, advanced cryptographic structures like Decker-Wattenhofer trees, and MuSig2. This knowledge is vital for understanding how Bitcoin can scale significantly without requiring disruptive soft forks.