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Official agent skill

Qdrant Scaling Data Volume

by qdrant in qdrant/skills

Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills.

OfficialApache-2.0Auto-check passedDatabases

Install Qdrant Scaling Data Volume

skills CLI
$ npx skills add qdrant/skills --skill qdrant-scaling-data-volume -a claude-code

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

GitHub CLI
$ gh skill install qdrant/skills qdrant-scaling-data-volume --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-scaling/scaling-data-volume .claude/skills/qdrant-scaling-data-volume && 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-scaling-data-volume
GitHub stars
253
Used in
2 other repos
Token cost
~485 tokens
SKILL.md length
230 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills.

  • Someone asks data doesnt fit on one node
  • SKILL.md covers Tenant Scaling, Sliding Time Window and Global Search
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Need more storage

What it does

Qdrant Scaling Data Volume is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.

Its SKILL.md is about 490 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 Databases, covering Vector databases. It works with Qdrant. 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 data doesnt fit on one node
  • Need more storage
  • Horizontal scaling
  • Time window rotation

Example prompts

  • “data doesn”
  • “too much data”
  • “need more storage”
  • “/qdrant-scaling-data-volume”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob

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 these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob

    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

    No URLs in SKILL.md.

    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 Scaling Data Volume loads about 485 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~485

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). 230 words, ~485 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-scaling-data-volume/SKILL.md (or your agent's skills folder).
name
qdrant-scaling-data-volume
description
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
allowed-tools
Read, Grep, Glob

Scaling Data Volume

This document covers data volume scaling scenarios, where the total size of the dataset exceeds the capacity of a single node.

Tenant Scaling

If the use case is multi-tenant, meaning that each user only has access to a subset of the data, and we never need to query across all the data, then we can use multi-tenancy patterns to scale.

The recommended way is to use multi-tenant workloads with payload partitioning, per-tenant indexes, and tiered multitenancy.

Learn more Tenant Scaling

Sliding Time Window

Some use-cases are based on a sliding time window, where only the most recent data is relevant. For example an index for social media posts, where only the last 6 months of data require fast search.

Learn more Sliding Time Window

Most general use-cases require global search across all data. In these situations, we might need to fall back to vertical scaling, and then horizontal scaling when we reach the limits of vertical scaling.

Vertical Scaling

When data doesn't fit in a single node, the first approach is to scale the node itself — more RAM, better disk, quantization, mmap. Exhaust vertical options before going horizontal, as horizontal scaling adds permanent operational complexity.

Learn more Vertical Scaling

Horizontal Scaling

When a single node can't hold the data even with quantization and mmap, distribute data across multiple nodes via sharding.

Learn more Horizontal Scaling

© 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-scaling/scaling-data-volume 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

Qdrant Scaling Data Volume next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Qdrant Scaling Data Volume compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qdrant Scaling Data Volume this skillqdrant/skills2532 repos~485Automated safety check: PassApache-2.0
Qdrant Performance Optimizationgithub/awesome-copilot40k1 repos~461Automated safety check: PassMIT
Qdrant Scalinggithub/awesome-copilot40k1 repos~467Automated safety check: PassMIT
Codebase Explorationgiancarloerra/SocratiCode3.3k1 repos~1.5kAutomated safety check: PassAGPL-3.0
Qdrant Vector SearchOrchestra-Research/AI-Research-SKILLs13k5 repos~3.4kAutomated safety check: PassMIT
Using Vector Databasesancoleman/ai-design-components5261 repos~3.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Qdrant Scaling Data Volume

What does Qdrant Scaling Data Volume do?

Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills. Qdrant Scaling Data Volume is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant data volume scaling decisions.

When should I use Qdrant Scaling Data Volume?

Qdrant Scaling Data Volume fits situations like: someone asks data doesnt fit on one node; need more storage; horizontal scaling; time window rotation.

How do I install Qdrant Scaling Data Volume in Claude Code?

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

How do I install Qdrant Scaling Data Volume in Codex?

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

Can I use Qdrant Scaling Data Volume 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-scaling-data-volume -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-scaling-data-volume, .gemini/skills/qdrant-scaling-data-volume, .github/skills/qdrant-scaling-data-volume and .opencode/skills/qdrant-scaling-data-volume in your project.

What does Qdrant Scaling Data Volume need to run?

SKILL.md names no scripts, command-line tools or credentials: Qdrant Scaling Data Volume is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob.

Does Qdrant Scaling Data Volume access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Qdrant Scaling Data Volume 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 Scaling Data Volume use?

Qdrant Scaling Data Volume 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 Scaling Data Volume use?

About 485 tokens (SKILL.md is roughly 1.9k 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 Scaling Data Volume?

Skills that share tags, products or a category with Qdrant Scaling Data Volume: Qdrant Performance Optimization (github/awesome-copilot, 40k stars), Qdrant Scaling (github/awesome-copilot, 40k stars), Codebase Exploration (giancarloerra/SocratiCode, 3.3k stars) and Qdrant Vector Search (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qdrant Scaling Data Volume?

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.