3 个仓库
Static analysis and error checking for languages embedded within another file format.
Distinct from Embedded Code Formatters: Focuses on validation and error checking rather than just formatting
Explore 3 awesome GitHub repositories matching development tools & productivity · Embedded Code Validation. Refine with filters or upvote what's useful.
This project is a comprehensive productivity guide and configuration reference for the VS Code editor. It provides a curated collection of shortcuts, configuration tips, and tutorials designed to improve efficiency and optimize the daily coding workflow. The resource covers advanced AI-assisted development, including the integration of autonomous agents, custom prompt files, and AI-powered coding assistants for task automation and code generation. It also provides specialized guidance on integrated terminal management, such as configuring shell profiles and automating command execution. Addi
Explains how to validate JavaScript and CSS code embedded within HTML files to catch errors early.
Sigil is a multi-platform ebook authoring suite and EPUB editor designed for creating, modifying, and structuring electronic publications. It serves as a digital publication tool for managing metadata and generating tables of contents for digital books. The software functions as an EPUB validator, checking ebook files for syntax errors and compliance with industry standards to ensure valid rendering. It also supports an extensible workspace where custom automation scripts can be used to add specialized capabilities. The suite covers digital content structuring and publication editing, provid
Checks ebook files for syntax errors and compliance with industry standards to ensure valid output rendering.
firebase-tools is a command-line interface and cloud resource orchestrator used to manage, test, and deploy Firebase projects. It serves as the primary tool for administering cloud resources, configuring project settings, and handling authentication from a terminal. The project includes a local cloud service emulator that allows developers to run local versions of cloud services to verify behavior before production deployment. It also implements a server based on the Model Context Protocol to expose project data and service controls to AI assistants. The tool covers a wide range of operation
Checks for syntax and compile-time errors in GraphQL code using schema-based auto-complete suggestions.