skills

by qdrant · Codex Skill · ★ 191

About skills

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.

agent-skillsai-agentsclaude-codecodexcursorembeddingshybrid-searchmonitoringmultitenancyperformance

Quick Facts

Stars191
Forks22
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score73.6845110525635/100
Open Issues17
Last Updated2026-07-08
Created2026-01-29
Platformsclaude-code, codex, python
Est. Tokens~14k

Compatible Skills

These tools work well together with skills for enhanced workflows:

  • coco-search — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • Dragon-Brain — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

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Frequently Asked Questions

What is skills?

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 191 GitHub stars.

What programming language is skills written in?

skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.

How do I install or use skills?

You can find installation instructions and usage details in the skills GitHub repository at github.com/qdrant/skills. The project has 191 stars and 22 forks, indicating an active community.

What license does skills use?

skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools