screenshot-annotator

Project overview

Auto-CV combines a Chinese LaTeX resume template with a Claude Code skill. Users can import an existing resume or text file, or follow a seven-step conversation that collects details and updates resume.tex after each stage. The result can be compiled into PDF and previewed through LaTeX Workshop, while fonts, icons, and layout remain editable. It suits people who want editable source files rather than a locked web form. A working LaTeX environment is required, and the documented setup focuses mainly on MiKTeX and VS Code on Windows.

Project overview

Browser Use gives an AI agent direct browser interaction for navigation, clicking, typing, and form completion. The CLI is designed for one-off browser tasks driven by an existing agent such as Claude Code or Codex, while the Python library supports repeatable automation, parallel jobs, custom tools, and product integrations with a model provider of the developer's choice.

Project overview

Stirling PDF brings common document jobs such as merging, splitting, signing, redacting, converting, OCR, compression, and editing into one interface. It can run as a personal desktop application, a browser-based self-hosted service, or a private API, allowing documents to be processed without sending them to an unrelated external tool. No-code workflows and REST endpoints support repeated or integrated processing, and a basic server can be started with Docker. The project follows an open-core model, so organizations should review which enterprise capabilities and license terms apply.