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Official agent skill

Qdrant Deployment Options

by qdrant in qdrant/skills

Guides Qdrant deployment selection. An agent skill from qdrant/skills.

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Qdrant Deployment Options

skills CLI
$ npx skills add qdrant/skills --skill qdrant-deployment-options -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install qdrant/skills qdrant-deployment-options --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/qdrant-deployment-options .claude/skills/qdrant-deployment-options && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qdrant-deployment-options
GitHub stars
253
Used in
2 other repos
Token cost
~976 tokens
SKILL.md length
421 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides Qdrant deployment selection. An agent skill from qdrant/skills.

  • Someone asks how to deploy Qdrant
  • SKILL.md covers Getting Started or Prototyping, Going to Production…, Going to Production (Zero-Ops) and Need Lowest Possible Latency, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Docker vs Cloud

What it does

Qdrant Deployment Options is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Vector databases and Deployment. It works with Qdrant and Docker. The repository describes itself as: Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python…. The licence is Apache-2.0.

When your agent uses it

  • Someone asks how to deploy Qdrant
  • Docker vs Cloud
  • Embedded Qdrant
  • Which deployment option

Example prompts

  • “how to deploy Qdrant”
  • “Docker vs Cloud”
  • “local mode”
  • “/qdrant-deployment-options”

Requirements

  • Python 3
  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 476a18d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skills.qdrant.tech

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qdrant Deployment Options loads about 976 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~976

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from qdrant/skills at commit 476a18d, republished under its Apache-2.0 licence (© qdrant). 421 words, ~976 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-deployment-options/SKILL.md (or your agent's skills folder).
name
qdrant-deployment-options
description
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.

Which Qdrant Deployment Do I Need?

Start with what you need: managed ops or full control? Network latency acceptable or not? Production or prototyping? The answer narrows to one of four options.

Getting Started or Prototyping

Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant.

  • Use local mode (Python only): zero-dependency, in-memory or disk-persisted, no server needed Local mode
  • Local mode data format is NOT compatible with server. Do not use for production or benchmarking.
  • For a real server locally, use Docker Quick start

Going to Production (Self-Hosted, You Own Ops)

Use when: you need full control over infrastructure or custom configuration, and are prepared to own operations (upgrades, backups, scaling, monitoring) yourself.

  • Docker is the standard self-hosted deployment. Full Qdrant Open Source feature set, minimal setup. Quick start
  • You own operations: upgrades, backups, scaling, monitoring
  • Must set up distributed mode manually for multi-node clusters Distributed deployment
  • Have a data-residency or compliance requirement but don't want to own that ops burden? That combination is Hybrid Cloud (next section), not self-hosted Docker.

Going to Production (Zero-Ops)

Use when: you want managed infrastructure with zero-downtime updates, automatic backups, and resharding without operating clusters yourself — including when data-residency or compliance rules mean the data can't sit on Qdrant-operated infrastructure.

  • Qdrant Cloud handles upgrades, scaling, backups, and monitoring Qdrant Cloud
  • Hybrid Cloud: the same managed control plane, deployed on your own infrastructure/VPC. Use this when data residency or compliance requirements rule out Qdrant Cloud but you still don't want to operate clusters yourself Hybrid Cloud
  • Supports multi-version upgrades automatically
  • Provides features not available in self-hosted: /sys_metrics, managed resharding, pre-configured alerts
Show full SKILL.md (152 more words)Show less

Need Lowest Possible Latency

Use when: network round-trip to a server is unacceptable. Edge devices, in-process search, or latency-critical applications.

  • Qdrant EDGE: in-process bindings to Qdrant shard-level functions, no network overhead Qdrant EDGE
  • Same data format as server. Can sync with server via shard snapshots.
  • Single-node feature set only. No distributed mode.
  • Chose EDGE and want to build on it? See the qdrant-edge skill (BM25, snapshot sync, hybrid queries).

What NOT to Do

  • Use local mode for production or benchmarking (not optimized, incompatible data format)
  • Self-host without monitoring and backup strategy (you will lose data or miss outages)
  • Recommend self-managed Docker as the production target when the user says they don't want to operate clusters — that combination needs Qdrant Hybrid Cloud or Qdrant Managed Cloud, not self-hosted
  • Choose EDGE when you need distributed search (single-node only)
  • Pick Hybrid Cloud unless you have data residency requirements (unnecessary Kubernetes complexity when Qdrant Cloud works)

© qdrant, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/qdrant-deployment-options of qdrant/skills.

Open the folder on GitHubat commit 476a18d

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in qdrant/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Codebase Explorationgiancarloerra/SocratiCode3.3k1 repos~1.5kAutomated safety check: PassAGPL-3.0
Monstermq Broker Configvogler75/monster-mq142—~2.2kAutomated safety check: PassGPL-3.0
Funnelcake Deployment Workflowdivinevideo/divine-mobile265—~3.6kAutomated safety check: PassMPL-2.0

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Works with

Categories

Questions about Qdrant Deployment Options

What does Qdrant Deployment Options do?

Guides Qdrant deployment selection. An agent skill from qdrant/skills. Qdrant Deployment Options is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant deployment selection.

When should I use Qdrant Deployment Options?

Qdrant Deployment Options fits situations like: someone asks how to deploy Qdrant; Docker vs Cloud; embedded Qdrant; which deployment option.

How do I install Qdrant Deployment Options in Claude Code?

Run `npx skills add qdrant/skills --skill qdrant-deployment-options -a claude-code`. Or copy the skill folder (skills/qdrant-deployment-options in qdrant/skills) into .claude/skills/qdrant-deployment-options in your project. Claude Code loads it when a task matches its description.

How do I install Qdrant Deployment Options in Codex?

Run `npx skills add qdrant/skills --skill qdrant-deployment-options -a codex`. Or copy the skill folder (skills/qdrant-deployment-options in qdrant/skills) into .agents/skills/qdrant-deployment-options in your project. Codex loads it when a task matches its description.

Can I use Qdrant Deployment Options in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qdrant/skills --skill qdrant-deployment-options -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qdrant-deployment-options, .gemini/skills/qdrant-deployment-options, .github/skills/qdrant-deployment-options and .opencode/skills/qdrant-deployment-options in your project.

What does Qdrant Deployment Options need to run?

SKILL.md names no scripts, command-line tools or credentials: Qdrant Deployment Options is instructions for the agent only. Our summary lists: Python 3; Docker.

Does Qdrant Deployment Options access the network?

SKILL.md names 1 domain. As links in the text: skills.qdrant.tech. This is read from the text; nothing was executed.

Is Qdrant Deployment Options safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Qdrant Deployment Options use?

Qdrant Deployment Options is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qdrant Deployment Options use?

About 976 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Qdrant Deployment Options?

Skills that share tags, products or a category with Qdrant Deployment Options: Codebase Management (giancarloerra/SocratiCode, 3.3k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Codebase Exploration (giancarloerra/SocratiCode, 3.3k stars) and Monstermq Broker Config (vogler75/monster-mq, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qdrant Deployment Options?

qdrant (a GitHub organization, an official publisher) maintains it in qdrant/skills, which has 253 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 6, 2026.

Source: qdrant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.