Qdrant Skills - Agent Skills for Qdrant Vector Search Agent skills for building with Qdrant vector search Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model migration, and more. Philosophy Skills are not documentation. Qdrant already has docs in markdown.
| Stars | 164 |
| Forks | 18 |
| Language | Python |
| Category | Codex 技能 |
| License | Apache-2.0 |
| Quality Score | 57.478/100 |
| Open Issues | 13 |
| Last Updated | 2026-06-13 |
| Created | 2026-01-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
These tools work well together with skills for enhanced workflows:
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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 技能 with 164 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 164 stars and 18 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.