Skill UI

This skill automatically modernizes Go codebases by identifying and replacing outdated patterns, deprecated APIs, and non-idiomatic code. It conducts comprehensive scans across language features, standard library upgrades, testing patterns, and tooling (including running lint checks). It ensures the codebase adheres to the latest Go best practices, improving safety, correctness, and readability for modern Go versions.

This skill provides comprehensive observability tooling for Go services, covering the five essential signals: structured logging (slog), Prometheus metrics, OpenTelemetry tracing, continuous profiling, and RUM. Use it for proactive production monitoring, correlating logs with traces, setting up SLOs, and ensuring all new features are fully instrumented for robust diagnosis.

Covers comprehensive HTML injection attack scenarios, detection tips, and tooling so security testers can validate and document injection points, phishing overlays, and reflected or stored payloads during vulnerability assessments.

Automates Monday.com boards, items, columns, groups, and updates through Rube MCP tooling; retrieves current schemas with RUBE_SEARCH_TOOLS and manages Monday.com OAuth links before running creation or update workflows.

Scaffold a production-ready Python MCP server with uv-based tooling, FastMCP configuration, async tools, structured schemas, and comprehensive error handling plus deployment/testing guidance.

This guide provides a comprehensive setup for local development workflows for Figma plugins and external REST API integrations. It enables developers to build, test, and iterate rapidly using hot reloading, mocked API fixtures, and structured project templates. Essential for creating design-to-code pipelines and advanced Figma tooling.

This abstraction provides the `CliCommandFactory` pattern, enabling developers to implement custom command-line interfaces (CLIs) for the Webiny ecosystem. It standardizes the process of defining, structuring, and interacting with various shell commands, ensuring robust and maintainable tooling within your application.

This skill analyzes your entire codebase to ensure it is optimized for AI contributions and developer tooling. It automatically generates essential configuration files such as `AGENTS.md`, Copilot instructions, CI workflows, and customizable issue templates. It learns from your existing PR review patterns to tailor the setup precisely to your project's stack. Use it when you need to prepare a repository for advanced AI-assisted development.

This comprehensive tool provides annotations and tooling to automatically generate industry-standard OpenAPI/Swagger documentation for Go backend services. By treating documentation as a contract, developers can annotate handlers, define complex parameters, and specify security schemes (JWT, OAuth2). It integrates seamlessly with major Go frameworks like Gin, Echo, and Fiber, ensuring the Swagger UI is the accurate source of truth for API consumers and maintaining clean API contracts.

This skill generates comprehensive, tailored instruction files for AI coding assistants like GitHub Copilot and Claude. It supports multiple strategies (flat or nested) and is specifically designed for managing complex monorepos by creating area-scoped instructions using `applyTo` globs. Use it to standardize AI tooling usage across large codebases.

This tool searches a comprehensive database of over 2500 curated open-source repositories for tools related to Large Language Models (LLMs), ChatGPT, RAG, agents, and NLP. It interprets natural language queries, converts non-English inputs to core English keywords, and systematically filters results across multiple specialized categories (e.g., LangChain, Chatbots, CLIs). Use it whenever the user needs to find specific AI development libraries or open-source AI tooling.

Generates a complete, structured load and performance testing plan for any service. This skill guides the definition of test objectives, establishes measurable SLO thresholds (p99, error rate, throughput), and designs multi-scenario tests (Baseline, Stress, Spike, Soak). It is essential for teams needing to set clear pass/fail criteria, select appropriate tooling (k6, Locust), and integrate performance gates into CI/CD pipelines.