by qdrant · Codex Skill · ★ 80
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Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
| Stars | 80 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 44/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-23 |
| Created | 2026-01-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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skills is Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, . It is categorized as a Codex Skill with 80 GitHub stars.
skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the skills GitHub repository at github.com/qdrant/skills. The project has 80 stars and 10 forks, indicating an active community.
skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include ClawMem, Context-Engine, deepcontext-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.