Skill UI

Bun is a high-performance, all-in-one JavaScript runtime and toolchain. It functions as a runtime, package manager, bundler, and test runner, offering significant speed improvements over traditional Node.js setups. It is ideal for modern, fast-paced development, new projects, and deployment environments like Vercel.

A comprehensive guide for conducting deep disk forensics investigations. This method covers secure evidence acquisition, creating bit-for-bit forensic images, analyzing file system structures (MFT, inodes), recovering deleted files, and reconstructing timelines using industry-standard tools like Autopsy, FTK Imager, and The Sleuth Kit. Essential for legal, HR, and security incident response.

A specialized tool for performing comprehensive CIS Kubernetes Benchmark audits. It verifies the security configurations of control planes, worker nodes, and etcd against industry best practices. The output is designed to generate actionable compliance evidence for audits like SOC 2 or PCI DSS, helping users identify vulnerabilities, determine non-applicability on managed clusters (EKS, GKE, AKS), and plan remediation strategies.

Hono is a minimal and ultrafast web framework built entirely on Web Standards (Request/Response/fetch). It allows developers to build high-performance APIs and full-stack applications that run seamlessly across multiple environments, including Cloudflare Workers, Deno, Bun, and Node.js. It is ideal for edge deployment, Backend for Frontend (BFF) layers, and type-safe backend services.

MCPB is a specialized local server bundle that packages the entire runtime environment (Node.js or Python) alongside the server code. It allows developers to distribute and run complex MCP services directly on a user's machine without requiring the user to pre-install specific runtimes or toolchains. Use this when the server must interact with the local filesystem, desktop applications, or OS-level APIs.

Helps developers answer codebase questions by leveraging the `.understand-anything/knowledge-graph.json` graph; walks through project metadata, nodes, edges, and layers to explain dependencies and contexts.

Transformers.js allows developers to run state-of-the-art machine learning models directly within JavaScript/TypeScript environments (browser, Node.js). It supports a comprehensive range of tasks including NLP (text generation, summarization, translation), Computer Vision (image classification, object detection), and Audio processing. This capability enables building fully client-side, multimodal AI applications without requiring a dedicated Python backend or server infrastructure.

Creates new Feishu Cloud Docs from Lark-flavored Markdown, letting you optionally target folders, wiki nodes, or knowledge spaces while ensuring structured, rich, and visually varied content.

This guide addresses the critical difference between standard Node.js SHA3-256 and the Keccak-256 hash function required by Ethereum. Using the wrong hash function can silently corrupt calculated function selectors, event topics, storage slots, and derived addresses. It provides best practices and code examples for using dedicated libraries (like ethers, viem, web3.js) to ensure correct, Ethereum-compliant hashing in JavaScript and TypeScript environments.

Complex Skill CLI wraps multi-line metadata and coordinates lark-cli plus Node.js binaries to expose a predictable helper for complex automation or deployment tasks within CLI-driven workflows.

CLI helper that uploads local Apps Script assets (.gs, .js, .html, appsscript.json) to a project via `gws script +push`, replacing every file while skipping hidden folders and node_modules; specify the target script ID and optional directory.

A powerful tool for managing whiteboard content embedded in Lark cloud documents. It allows users to query the board, exporting content as a preview image, retrieving raw node structures, or updating the board using various formats (Mermaid, PlantUML). Ideal for generating, viewing, or modifying complex diagrams like architecture diagrams and flowcharts.