This article explains how to create and manage reusable skills in OpenAI's API. Skills are packaged bundles of files that enable repeatable workflows in hosted or local environments. It covers when to use skills, how to structure them, and the API calls necessary for uploading and utilizing them.

This article covers several recent updates to OpenAI's Codex and Responses API. Key highlights include the introduction of skills for Codex, new multi-provider support, and enhancements like Gmail and Google Calendar integration. The updates aim to improve usability and efficiency for developers.

This article explains how to create and manage reusable skills in OpenAI's API. Skills are bundles of files that allow for repeatable workflows, code execution, and asset management, making them useful for structured tasks. The guide details when to use skills, how to package them, and the process for uploading and invoking them via the API.

OpenAI announced several updates, including Open Responses, an open-source spec for building multi-provider LLM interfaces. The introduction of GPT-5.2-Codex enhances complex coding tasks, while new skills and connectors improve usability and integration with other platforms.

This article outlines updates and new features for Claude Opus 4.5. Key improvements include an effort parameter for balancing output quality and cost, new API tools for enhanced functionality, and the introduction of Skills for integrating specialized knowledge into agents.

This article outlines recent enhancements to the GPT-5.2-Codex model, focusing on its ability to handle complex tasks, support for reusable skills, and new API capabilities. It details improvements in usage limits and integration with various platforms like Gmail and Google Calendar.