by feiskyer · Codex Skill · ★ 153
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OpenAI Codex CLI Settings and Custom Prompts A curated collection of configurations, skills and custom prompts for OpenAI Codex CLI, designed to enhance your development workflow with various model providers and reusable prompt templates. For Claude Code settings, skills, agents and custom commands, please refer feiskyer/claude-code-settings. Overview This repository provides: Flexible Configuration: Support for multiple model providers (LiteLLM/Copilot proxy, ChatGPT subscription, Azure OpenAI, OpenRouter) Custom Prompts: Reusable prompt templates for common development tasks Skills (Experimental): Discoverable instruction bundles for specialized tasks (image generation, YouTube transcription, spec-driven workflows) Best Practices: Pre-configured settings optimized for development workflows Easy Setup: Simple installation and configuration process Quick Start Installation Using npx skills could be used to install skills only for your AI coding tools. sh List skills npx -y skills add -l feiskyer/codex-settings Install all skills npx -y skills
| Stars | 153 |
| Forks | 23 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.106/100 |
| Last Updated | 2026-03-09 |
| Created | 2025-10-06 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~14k |
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codex-settings is OpenAI Codex CLI settings, configurations, skills and prompts for vibe coding. It is categorized as a Codex Skill with 153 GitHub stars.
codex-settings is primarily written in Shell. It covers topics such as agentic-ai, agents, ai.
You can find installation instructions and usage details in the codex-settings GitHub repository at github.com/feiskyer/codex-settings. The project has 153 stars and 23 forks, indicating an active community.
codex-settings is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-settings on Agent Skills Hub include codexia, agent-builder, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.