Qdrant Performance Optimization
github/awesome-copilot
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.
Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.
Install Qdrant Performance Optimization
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qdrant/skills qdrant-performance-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/qdrant-performance-optimization .claude/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.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/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .claude/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qdrant/skills qdrant-performance-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/qdrant-performance-optimization .agents/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .agents/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qdrant/skills qdrant-performance-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/qdrant-performance-optimization .cursor/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .cursor/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qdrant/skills.git --path skills/qdrant-performance-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qdrant/skills qdrant-performance-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/qdrant-performance-optimization .gemini/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .gemini/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qdrant/skills qdrant-performance-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/qdrant-performance-optimization .github/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .github/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qdrant/skills --skill qdrant-performance-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qdrant/skills qdrant-performance-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/qdrant-performance-optimization .opencode/skills/qdrant-performance-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qdrant-performance-optimization" agent skill from https://github.com/qdrant/skills/tree/main/skills/qdrant-performance-optimization into .opencode/skills/qdrant-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qdrant-performance-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
qdrant-performance-optimization- GitHub stars
- 253
- Token cost
- ~456 tokens
- SKILL.md length
- 164 words
- Files
- 1
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.
- Planning configuration
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Capacity changes to improve speed and efficiency
What it does
Qdrant Performance Optimization is an agent skill from qdrant/skills, published by the product's own GitHub organization. Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.
Its SKILL.md is about 460 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 and Performance optimization. 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
- Planning configuration
- Capacity changes to improve speed and efficiency
Example prompts
- “/qdrant-performance-optimization”
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:
ReadGrepGlob
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 Performance Optimization loads about 456 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 164 words of instructions outside code blocks.
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). 164 words, ~456 tokens.
Download SKILL.mdSave it as
.claude/skills/qdrant-performance-optimization/SKILL.md (or your agent's skills folder).- name
- qdrant-performance-optimization
- description
- Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.
- allowed-tools
- Read, Grep, Glob
Qdrant Performance Optimization
Route first, then answer. Match the user's symptom in the table, Read that file, and answer from it.
Do not answer from this page alone: it contains routing only, not the guidance. If two rows match, read both.
| The user says | Read |
|---|---|
| Filtered queries much slower than unfiltered | search-speed-optimization/SKILL.md |
| Low QPS, cannot handle the query load | search-speed-optimization/SKILL.md |
| Individual queries take too long to return | search-speed-optimization/SKILL.md |
| Index build or HNSW build takes too long, vector upload is slow | indexing-performance-optimization/SKILL.md |
| Collection stays yellow, optimizer stuck or runs for a long time | indexing-performance-optimization/SKILL.md |
| Bulk upsert of vectors is slow | indexing-performance-optimization/SKILL.md |
| RAM usage too high, out-of-memory crashes | memory-usage-optimization/SKILL.md |
| Want to fit a larger dataset on the same hardware | memory-usage-optimization/SKILL.md |
| Reducing cost by moving data to disk | memory-usage-optimization/SKILL.md |
Latency and throughput pull opposite ways on segment count.
For latency, increase segments toward the CPU core count (default_segment_number: 16).
For throughput, use fewer and larger segments (default_segment_number: 2).
Applying the wrong direction makes the reported problem worse.
© 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-performance-optimization of qdrant/skills.
Open the folder on GitHubat commit 476a18d
Compare with similar skills
Qdrant Performance Optimization 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Qdrant Performance Optimization this skillqdrant/skills | 253 | — | ~456 | Automated safety check: Pass | Apache-2.0 | |
| Qdrant Performance Optimizationgithub/awesome-copilot | 40k | 1 repos | ~461 | Automated safety check: Pass | MIT | |
| Qdrant Scalinggithub/awesome-copilot | 40k | 1 repos | ~467 | Automated safety check: Pass | MIT | |
| Codebase Explorationgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.5k | Automated safety check: Pass | AGPL-3.0 | |
| Qdrant Vector SearchOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Using Vector Databasesancoleman/ai-design-components | 526 | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Qdrant Performance Optimization
What does Qdrant Performance Optimization do?
Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Qdrant Performance Optimization is an agent skill from qdrant/skills, published by the product's own GitHub organization. Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.
When should I use Qdrant Performance Optimization?
Qdrant Performance Optimization fits situations like: planning configuration; capacity changes to improve speed and efficiency.
How do I install Qdrant Performance Optimization in Claude Code?
Run `npx skills add qdrant/skills --skill qdrant-performance-optimization -a claude-code`. Or copy the skill folder (skills/qdrant-performance-optimization in qdrant/skills) into .claude/skills/qdrant-performance-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Qdrant Performance Optimization in Codex?
Run `npx skills add qdrant/skills --skill qdrant-performance-optimization -a codex`. Or copy the skill folder (skills/qdrant-performance-optimization in qdrant/skills) into .agents/skills/qdrant-performance-optimization in your project. Codex loads it when a task matches its description.
Can I use Qdrant Performance Optimization 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-performance-optimization -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-performance-optimization, .gemini/skills/qdrant-performance-optimization, .github/skills/qdrant-performance-optimization and .opencode/skills/qdrant-performance-optimization in your project.
What does Qdrant Performance Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Qdrant Performance Optimization is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob.
Does Qdrant Performance Optimization 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 Performance Optimization 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 Performance Optimization use?
Qdrant Performance Optimization 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 Performance Optimization use?
About 456 tokens (SKILL.md is roughly 1.8k 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 Performance Optimization?
Skills that share tags, products or a category with Qdrant Performance Optimization: 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 Performance Optimization?
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.