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Merge pull request #2395 from qdrant/szabosteve/skills-page
Create docs about skills
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---
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title: "Agent Skills"
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short_description: Qdrant agent skills encode solutions architect knowledge for AI coding assistants, helping them diagnose vector search problems, recommend the right configuration, and navigate to the exact documentation without installation.
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description: Qdrant agent skills help AI coding assistants diagnose and tune vector search in production. Pass a skill URL from skills.qdrant.tech to your agent to get targeted guidance on scaling, search quality, performance, monitoring, and more.
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weight: 303
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partition: develop
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---
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# Agent Skills
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Qdrant ships a set of agent skills: structured knowledge files that help your AI coding assistant think like a solutions architect, not just retrieve documentation.
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Skills are hosted at [skills.qdrant.tech](https://skills.qdrant.tech). Pass the URL of a skill to your agent and it will use it immediately, no installation required.
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Using skills by URL keeps your agent’s context focused.
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Rather than loading all skills upfront, the agent fetches only the skill relevant to your current problem.
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If you prefer to have skills available offline or without passing URLs manually, you can install them locally in your agent.
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Refer to this [README](https://github.com/qdrant/skills/blob/main/README.md) for instructions.
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## Philosophy
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Skills are not a second copy of the documentation.
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They act as a navigation and decision layer, helping an agent determine which docs apply, when a feature is the right choice, and what pitfalls to avoid.
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Documentation answers **“how?”** Skills answer **“when?”**, **“why?”**, and **“what should I check first?”**
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For example, the docs explain how to enable scalar quantization.
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A skill tells you whether you should, what to check before you do, and what breaks if you get it wrong.
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This is the knowledge that comes from seeing the same production problems many times.
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It does not fit into product documentation because it is not feature-shaped.
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It's diagnostic, situational, and organized by symptoms, not by feature names.
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The structure is deliberately problem-oriented and named by symptoms.
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Each entry opens with a trigger condition so the agent knows when the section applies, followed by imperative steps with direct links to the relevant documentation.
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The highest-value content is often the **“What Not to Do”** sections: mistakes that sound reasonable, but are not.
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## Skills Are Hierarchical
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Skills are organized in a hierarchy.
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Each top-level skill (or hub skill) covers a domain and branches into sub-skills (or leaf skills) for more specific scenarios.
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For example, `qdrant-search-quality` branches into:
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- **Diagnosis and Tuning**: isolating the source of quality issues, establishing labeled baselines, tuning HNSW parameters, and choosing the right embedding model.
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- **Search Strategies**: hybrid search, reranking, relevance feedback, and exploration APIs.
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This structure helps agents move to the right level of specificity without loading irrelevant context.
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Explore the full hierarchy and search across all skills at [skills.qdrant.tech](https://skills.qdrant.tech).
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## Available Hub Skills
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| Skill | Use for |
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| --- | --- |
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| `qdrant-clients-sdk` | SDK setup and code examples across Python, TypeScript, Rust, Go, .NET, Java |
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| `qdrant-scaling` | Data volume, QPS targets, latency budgets, horizontal vs. vertical decisions |
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| `qdrant-performance-optimization` | Search speed, memory pressure, indexing bottlenecks |
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| `qdrant-search-quality` | Bad results, low recall, irrelevant matches, hybrid search trade-offs |
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| `qdrant-monitoring` | Metrics, health checks, optimizer issues, cluster debugging |
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| `qdrant-deployment-options` | Choosing between local, Docker, self-hosted, Cloud, and embedded |
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| `qdrant-model-migration` | Switching embedding models without downtime |
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| `qdrant-version-upgrade` | Safe upgrade paths, compatibility guarantees, rolling upgrades |
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## Installing and Contributing
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For instructions on installing skills in your own coding agent (Cursor, Claude Code, OpenCode, and others), refer to this [README](https://github.com/qdrant/skills/blob/main/README.md).
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For guidance on contributing new skills or reporting problems, refer to [CONTRIBUTING.md](https://github.com/qdrant/skills/blob/main/CONTRIBUTING.md) in the repository.
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