Search Results for "approval"

...It provides specialized entry points for building verifiable experience, improving resume content, creating resumes, preparing for interviews, and tracking applications. Its contributor workflow helps users identify realistic open-source contributions and prepares changes for approval before submission. Resume tools can rewrite experience for target roles and generate editable HTML layouts with PDF export. Interview workflows analyze resume claims, predict likely questions, and probe knowledge gaps through follow-up questions. The suite supports Claude Code, Codex, and TraeWork while sharing common skills, assets, and reference materials.

...It detects garments in imported images, creates clean product-style cutouts, and can generate modeled editorial previews using a reference photo. The web interface supports drag-and-drop, paste, editing, review, regeneration, and approval of generated results. Original images, processed assets, job data, and the JSON clothing library remain in a local data directory. Two bundled Codex skills automate clothing import and generate styled outfit collections from items already in the wardrobe. Users can run the workflow through Codex or the web interface. The project requires an OpenAI API key for AI processing and allows model and data locations to be configured.

...The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and human approval points. The skill can work with agent environments such as Codex, Cursor, and Claude Code through the Skills CLI. Overall, it is useful for teams that want safer, reusable, and more reliable agent workflows instead of one-off prompting.

PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. By offering a visual representation...

Lastest.cloud is a free, open-source verification of development, self-hosted visual regression and end-to-end testing platform for web applications. An AI agent records you clicking through your running app and generates Playwright tests with multi-selector fallback. Replays are deterministic and token-free, so your CI/CD bill doesn't scale with your test suite. Lastest ships three diff engines side-by-side — pixel (pixelmatch), structural (SSIM), and perceptual (Butteraugli) — so...