by SkyworkAI · Codex Skill · ★ 69
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Skywork Skills English 한국어 Agent Skills for AI office suites, including AI PPT, AI Document, AI Excel, AI Image, AI Search/DeepResearch and AI Music. These skills can be used by any skills-compatible agent, including Claude Code, Codex CLI and OpenClaw. Get started at skywork.ai/skill-landing. Installation Claude Code Add the contents of this repo to a folder in the root of your project (or whichever folder you're using with Claude Code). See more in the official Claude Skills documentation. Codex CLI Copy the directory into your Codex skills path (typically ). OpenCode Clone the entire repo into the OpenCode skills directory (): Do not copy only the inner skills folder — clone the full repo so the directory structure is . OpenCode auto-discovers all files under . No config changes needed. Skills become available after restarting OpenCode. ClawHub Install individual skills directly from ClawHub: [skywork-ppt](https://clawhub.ai/gxcun17/s
| Stars | 69 |
| Forks | 11 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.4715182326482/100 |
| Last Updated | 2026-04-02 |
| Created | 2026-03-16 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~10k |
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Skywork-Skills is Skywork Agent Skills for AI office suites, including AI PPT, AI Document, AI Excel, AI Image, AI Search/DeepResearch and AI Music. These skills can be used by any skills-compatible agent, including C. It is categorized as a Codex Skill with 69 GitHub stars.
Skywork-Skills is primarily written in Python. It covers topics such as agent, agent-skills, skills.
You can find installation instructions and usage details in the Skywork-Skills GitHub repository at github.com/SkyworkAI/Skywork-Skills. The project has 69 stars and 11 forks, indicating an active community.
Skywork-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Skywork-Skills on Agent Skills Hub include zypher-agent, JoySafeter, ai-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.