Skill UI

This comprehensive guide provides detailed steps for load testing and capacity planning of Replit deployments. Learn how to benchmark performance using industry tools like k6 and autocannon, optimize Autoscale behavior, right-size Reserved VMs, and manage database connection pools. It covers optimizing cold start times and ensuring high availability under variable and peak traffic loads.

Automates Salesforce CRM tasks via Rube MCP and the Composio toolkit, covering leads, contacts, accounts, opportunities, SOQL queries, and task workflows while always refreshing tool schemas first.

Automatically scans code for reflected, stored, and DOM-based XSS risks across HTML, JavaScript, CSS, and URLs, providing reports and safe proof-of-concept payloads for use in reviews, audits, or pre-deployment checks.

A specialized methodology for reviewing APIs, configuration schemas, and interfaces to identify 'footguns'—design choices where the path of least resistance leads to insecurity. This analysis focuses on making secure usage the default, covering topics like dangerous defaults, primitive vs. semantic type safety, and insecure algorithm selection. It is crucial for architects and reviewers to prevent developer misuse at the design level.

A guide to the Swift 6.2 concurrency model, which mandates default single-threaded execution to eliminate accidental data races. Learn how to use MainActor for isolated consistency and utilize the @concurrent attribute for explicitly offloading CPU-intensive tasks to background threads, ensuring safe and predictable application architecture.

Tracks CPU, memory, disk/network I/O, DB connections, and threads via the resource-usage-tracker plugin to reveal performance bottlenecks, recommend right-sizing, and guide cost-saving actions.

This guide establishes a fast, reproducible local development workflow for GPU workloads using Vast.ai. It covers key practices such as testing Docker images locally (in CPU mode), mocking external APIs like Vast.ai, and implementing robust unit and integration tests. This is essential for minimizing cloud GPU costs and accelerating the iteration cycle for complex AI/ML projects.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

Automates Composio Veriphone operations through Rube MCP, guiding setup, tool discovery, connection validation, and multi-tool execution while enforcing schema-first searches, session reuse, and mandatory memory payloads.

Automates Webflow CMS, pages, and publishing workflows through Rube MCP’s Composio toolkit, covering collection CRUD, site inspection, asset uploads, and ecommerce order retrieval with the latest schemas.

Assess web apps for client-side injection flaws, covering stored, reflected, and DOM XSS plus HTML injection, demonstrate session hijacking payloads, and guide validation and sanitization checks.