by qdrant · Codex Skill · ★ 185
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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. Skills answer "when?" and "why?", not "how?" They are structured as the handbook of a Solutions Architect working on Qdrant: given a problem, navigate to the exact place in the documentation where the answer lives. No tutorials, no concept explanations. Only references and minimal snippets where absolutely necessary. Disclaimer These skills are under active development. Skill content and structure may change between versions as Qdrant evolves. Usage Skills are hosted at skills.qdrant.tech. Pass the URL of a skill directly to your agent — no installation required: This
| Stars | 185 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 73.6845110525635/100 |
| Open Issues | 14 |
| Last Updated | 2026-06-30 |
| Created | 2026-01-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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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 185 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 185 stars and 19 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.
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