Official agent skill

Qdrant Scaling

by github in github/awesome-copilot

Guides Qdrant scaling decisions. An agent skill from github/awesome-copilot.

OfficialMITAuto-check passedDatabases

Install Qdrant Scaling

skills CLI
$ npx skills add github/awesome-copilot --skill qdrant-scaling -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot qdrant-scaling --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/qdrant-scaling .claude/skills/qdrant-scaling && 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
GitHub stars
40k
Used in
1 other repo
Token cost
~467 tokens
SKILL.md length
218 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Guides Qdrant scaling decisions. An agent skill from github/awesome-copilot.

  • Someone asks how many nodes do I need
  • SKILL.md covers Scaling Data Volume, Scaling for Query Throughput, Scaling for Query Latency and Scaling for Query Volume
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Data doesnt fit on one node

What it does

Qdrant Scaling is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

Its SKILL.md is about 470 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: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Someone asks how many nodes do I need
  • Data doesnt fit on one node
  • Need more throughput
  • Cluster is slow

Example prompts

  • “how many nodes do I need”
  • “data doesn”
  • “need more throughput”
  • “/qdrant-scaling”

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 727ff2e. 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 loads about 467 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 218 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~467

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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 218 words, ~467 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-scaling/SKILL.md (or your agent's skills folder).
name
qdrant-scaling
description
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
allowed-tools
Read, Grep, Glob

Qdrant Scaling

First determine what you're scaling for:

  • data volume
  • query throughput (QPS)
  • query latency
  • query volume

After determining the scaling goal, we can choose scaling strategy based on tradeoffs and assumptions. Each pulls toward different strategies. Scaling for throughput and latency are opposite tuning directions.

Scaling Data Volume

This becomes relevant when volume of the dataset exceeds the capacity of a single node. Read more about scaling for data volume in Scaling Data Volume

Scaling for Query Throughput

If your system needs to handle more parallel queries than a single node can handle, then you need to scale for query throughput.

Read more about scaling for query throughput in Scaling for Query Throughput

Scaling for Query Latency

Latency of a single query is determined by the slowest component in the query execution path. It is in sometimes correlated with throughput, but not always. It might require different strategies for scaling.

Read more about scaling for query latency in Scaling for Query Latency

Scaling for Query Volume

By query volume we understand the amount of results that a single query returns. If the query volume is too high, it can cause performance issues and increase latency.

Tuning for query volume is opposite might require special strategies.

Read more about scaling for query volume in Scaling for Query Volume

© github, MIT. 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 of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Qdrant Scaling 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qdrant Scaling this skillgithub/awesome-copilot40k1 repos~467Automated safety check: PassMIT
Qdrant Horizontal Scalingqdrant/skills2532 repos~833Automated safety check: PassApache-2.0
Qdrant Indexing Performance Optimizationqdrant/skills2532 repos~1.2kAutomated safety check: PassApache-2.0
Qdrant Minimize Latencyqdrant/skills2532 repos~725Automated safety check: PassApache-2.0
Qdrant Scaling Data Volumeqdrant/skills2532 repos~485Automated safety check: PassApache-2.0
Qdrant Scaling Qpsqdrant/skills2532 repos~933Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Qdrant Scaling

What does Qdrant Scaling do?

Guides Qdrant scaling decisions. An agent skill from github/awesome-copilot. Qdrant Scaling is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Guides Qdrant scaling decisions.

When should I use Qdrant Scaling?

Qdrant Scaling fits situations like: someone asks how many nodes do I need; data doesnt fit on one node; need more throughput; cluster is slow.

How do I install Qdrant Scaling in Claude Code?

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

How do I install Qdrant Scaling in Codex?

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

Can I use Qdrant Scaling 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 github/awesome-copilot --skill qdrant-scaling -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, .gemini/skills/qdrant-scaling, .github/skills/qdrant-scaling and .opencode/skills/qdrant-scaling in your project.

What does Qdrant Scaling need to run?

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

Does Qdrant Scaling 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 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 use?

Qdrant Scaling is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qdrant Scaling use?

About 467 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?

Skills that share tags, products or a category with Qdrant Scaling: Qdrant Horizontal Scaling (qdrant/skills, 253 stars), Qdrant Indexing Performance Optimization (qdrant/skills, 253 stars), Qdrant Minimize Latency (qdrant/skills, 253 stars) and Qdrant Scaling Data Volume (qdrant/skills, 253 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qdrant Scaling?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

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