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Generate a new project from a reusable template repository and its configuration prompts.

Convert AsciiDoc source into HTML and other publishing formats with the Ruby-based reference implementation.

A proxy-based API simulator that records traffic for repeatable tests without calling the real service each time.

Run command-line or Node.js accessibility checks against web pages and local HTML.

Search source trees recursively for regular expressions while respecting ignore rules by default.

Matching line and filled icons for app navigation and controls.

Lint and format Python projects with one configurable command-line tool.

Generate static websites from project files, content, templates, and themes.

Track project history locally, branch freely, and share selected commits with collaborators.

A multi-style SVG library with a free subset and paid team access.

Compare source files by syntax structure rather than relying only on line-oriented diffs.

Develop resource-conscious firmware for embedded boards with a real-time operating system and Zephyr SDK.

Copy and synchronize files between a local machine and configured cloud-storage remotes.

A Python load-testing framework that models user behavior in code and scales traffic across workers.

Audio-linked notes with timestamped lines, searchable transcripts, and playback at the exact moment.

Summarize files, code, comments, and blank lines across a project by programming language.

Display system and hardware information in a customizable terminal summary.

Build OCI container images from base images or Containerfile instructions with a focused command-line workflow.

Generate Java unit-test code from IntelliJ classes and methods, with CLI and CI options in paid editions.

Work with files and command output as structured records and tables in a cross-platform shell.

Animated SVG icons with static, CSS and frame-based alternatives.

A Java code-coverage library that records which instructions, lines, and branches run during tests.

Plan projects through text-defined work breakdowns, resource allocation, and constraint-based schedules.

Check annotated Python code for type inconsistencies before running it.