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Official agent skill

Qdrant Minimize Latency

by qdrant in qdrant/skills

Guides Qdrant query latency optimization. An agent skill from qdrant/skills.

OfficialApache-2.0Auto-check passedDatabases

Install Qdrant Minimize Latency

skills CLI
$ npx skills add qdrant/skills --skill qdrant-minimize-latency -a claude-code

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

GitHub CLI
$ gh skill install qdrant/skills qdrant-minimize-latency --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/minimize-latency .claude/skills/qdrant-minimize-latency && 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-minimize-latency
GitHub stars
253
Used in
2 other repos
Token cost
~725 tokens
SKILL.md length
304 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides Qdrant query latency optimization. An agent skill from qdrant/skills.

  • Someone asks search is slow
  • SKILL.md covers Performance Tuning for Lower…, Memory Pressure and Latency, Vertical Scaling for Latency and What NOT to Do
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • How to reduce latency

What it does

Qdrant Minimize Latency is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.

Its SKILL.md is about 730 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 search is slow
  • How to reduce latency
  • P99 is too high
  • Single query too slow

Example prompts

  • “search is slow”
  • “how to reduce latency”
  • “p99 is too high”
  • “/qdrant-minimize-latency”

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 Minimize Latency loads about 725 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 304 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~725

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). 304 words, ~725 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-minimize-latency/SKILL.md (or your agent's skills folder).
name
qdrant-minimize-latency
description
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.

Scaling for Query Latency

Latency of a single query is determined by the slowest component in the query execution path. It is sometimes correlated with throughput, but not always — throughput and latency are opposite tuning directions.

Low latency optimization is aimed at utilising maximum resource saturation for a single query, while throughput optimization is aimed at minimizing per-query resource usage to allow more parallel queries.

Performance Tuning for Lower Latency

  • Increase segment count to match CPU cores (default_segment_number: 16) Minimizing latency
  • Keep quantized vectors and HNSW in RAM: memory: pinned on Qdrant 1.19 or newer; on 1.18 or older, always_ram: true for quantized vectors and hnsw_config.on_disk: false for HNSW Memory tiers
  • Reduce hnsw_ef at query time (trade recall for speed) Search params
  • Use local NVMe, avoid network-attached storage

Memory Pressure and Latency

RAM is the most critical resource for latency. If working set exceeds available RAM, OS cache eviction causes severe, sustained latency degradation.

  • Vertical scale RAM first. Critical if working set >80%.
  • Use quantization: scalar (4x reduction) or binary (up to 32x reduction) Quantization
  • Move payload indexes to disk if filtering is infrequent: memory: cold on Qdrant 1.19 or newer, on_disk: true on 1.18 or older On-disk payload index
  • Set optimizer_cpu_budget to limit background optimization CPUs
  • Schedule indexing: set high indexing_threshold during peak hours

Vertical Scaling for Latency

More RAM and faster CPU directly reduce latency. See Vertical Scaling for node sizing guidelines.

What NOT to Do

  • Do not expect to optimize latency and throughput simultaneously on the same node
  • Do not use few large segments for latency-sensitive workloads (each segment takes longer to search)
  • Do not run at >90% RAM (cache eviction causes severe latency degradation that can last days)
  • Do not ignore optimizer status during performance debugging
  • Do not scale down RAM without load testing (cache eviction causes days-long latency incidents)

© 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/minimize-latency 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 Minimize Latency 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 Minimize Latency compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qdrant Minimize Latency this skillqdrant/skills2532 repos~725Automated 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 Minimize Latency

What does Qdrant Minimize Latency do?

Guides Qdrant query latency optimization. An agent skill from qdrant/skills. Qdrant Minimize Latency is an agent skill from qdrant/skills, published by the product's own GitHub organization. Guides Qdrant query latency optimization.

When should I use Qdrant Minimize Latency?

Qdrant Minimize Latency fits situations like: someone asks search is slow; how to reduce latency; P99 is too high; single query too slow.

How do I install Qdrant Minimize Latency in Claude Code?

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

How do I install Qdrant Minimize Latency in Codex?

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

Can I use Qdrant Minimize Latency 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-minimize-latency -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-minimize-latency, .gemini/skills/qdrant-minimize-latency, .github/skills/qdrant-minimize-latency and .opencode/skills/qdrant-minimize-latency in your project.

What does Qdrant Minimize Latency need to run?

SKILL.md names no scripts, command-line tools or credentials: Qdrant Minimize Latency is instructions for the agent only.

Does Qdrant Minimize Latency 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 Minimize Latency 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 Minimize Latency use?

Qdrant Minimize Latency 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 Minimize Latency use?

About 725 tokens (SKILL.md is roughly 2.9k 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 Minimize Latency?

Skills that share tags, products or a category with Qdrant Minimize Latency: 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 Minimize Latency?

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.