Skill UI

A comprehensive guide for building, reviewing, and optimizing GraphQL APIs in Golang. This skill covers best practices including robust schema design (nullability, pagination), proper resolver separation, and critical performance optimizations like using DataLoaders to prevent N+1 query issues. Ideal for engineers working with gqlgen or graphql-go.

A comprehensive playbook for defeating anti-debugging mechanisms in protected binaries. Covers advanced techniques across both Linux (ptrace, /proc/self/status, timing checks) and Windows (PEB flags, NtQueryInformationProcess). Provides detailed detection methods and corresponding bypass strategies (e.g., patching, hooking, kernel modules) essential for advanced binary reverse engineering.

This comprehensive playbook details advanced techniques for detecting Prototype Pollution vulnerabilities in JavaScript environments (Node.js and browser). It covers various attack vectors, including using `__proto__` and `constructor.prototype` paths, and provides black-box testing payloads for JSON parsing, query string merging, and deep object assignment. Use this when analyzing applications for potential Remote Code Execution (RCE) or unintended property leakage via object merging sinks.

This advanced playbook covers escalating prototype pollution into Remote Code Execution (RCE) and Cross-Site Scripting (XSS). It details exploitation techniques across various environments, including Node.js child_process, EJS, Pug, Handlebars, and client-side libraries like jQuery and Lodash. It is designed for security researchers and penetration testers to systematic locate and exploit deep merge sinks and framework gadgets.

Provides essential database abstractions and utility classes for robust API development. This module includes components like FilterUtil, ValueFilter, and ValueFilterRegistry, allowing developers to implement standardized, efficient, and complex data querying and filtering logic across various database contexts.

This extension provides comprehensive distributed tracing capabilities for the KubeSphere Observability Platform, adhering to the OpenTelemetry standard. It guides users through the entire lifecycle, including component installation (Generator, Collector, Agent), configuration, and querying complex tracing data, spans, and service graphs. It is essential for monitoring microservices and understanding complex system interactions.

This specialized agent allows applications to programmatically join, monitor, and leave live video conferences. It reads real-time events visible to the current identity, such as participants joining/leaving, speaking, chatting, and screen sharing. It is ideal for querying what happens during an active meeting or identifying the correct active meeting IDs. Note: It does not handle post-meeting tasks like transcriptions or recordings.

This tool empowers users to query, filter, and aggregate logs from Datadog directly from the command line using the Composio CLI. It bypasses the graphical UI, providing structured JSON output for complex analysis, cross-service correlation, and automated reporting. Ideal for deep dive investigations, tracking latency regressions, or building scheduled operational digests.

A powerful DI extension point for Website Builders, allowing developers to inject custom query parameters into all live preview URLs. This is essential for integrating complex features like signed tokens, tenant identifiers, or feature flags directly into the preview experience. It supports asynchronous operations, such as fetching remote authorization tokens, ensuring robust customization across the editor iframe and generated links.

This skill allows users to query the current state of various AWS resources (including EC2, S3, Lambda, RDS, VPC, etc.) using natural language. It translates user intent into strictly read-only AWS CLI commands (e.g., `describe-*`, `list-*`). Crucially, this tool can only view data and is contractually incapable of performing any write, modify, delete, or mutation actions, ensuring maximum safety.

This skill provides comprehensive guides and references for writing, debugging, and systematically optimizing DAX formulas within semantic models. It covers advanced topics including systematic performance optimization workflows, engine internals (like xmSQL), and best practices for both local (Power BI Desktop) and remote (Fabric/XMLA) model environments, ensuring efficient data calculation and query performance.

This skill provides comprehensive, expert guidance for utilizing the Fabric Command Line Interface (CLI) using the `fab` tool. It enables programmatic interaction with the entire Fabric and Power BI service cloud environment, including workspaces, semantic models, data assets, and configurations. Use it to automate tasks like authentication, metadata retrieval, data querying (DAX, T-SQL, DuckDB), and resource management, ensuring best practices and error handling are maintained.