Qdrant Indexing Performance Optimization
qdrant/skills
Diagnoses and fixes slow Qdrant indexing and data ingestion.
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.
Install Qdrant Performance Optimization
$ npx skills add github/awesome-copilot --skill qdrant-performance-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot 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/github/awesome-copilot.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/github/awesome-copilot/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/github/awesome-copilot/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 github/awesome-copilot --skill qdrant-performance-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot qdrant-performance-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.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/github/awesome-copilot/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 github/awesome-copilot --skill qdrant-performance-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot qdrant-performance-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.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/github/awesome-copilot/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/github/awesome-copilot.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 github/awesome-copilot --skill qdrant-performance-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot 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/github/awesome-copilot.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/github/awesome-copilot/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 github/awesome-copilot 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 github/awesome-copilot --skill qdrant-performance-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.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/github/awesome-copilot/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 github/awesome-copilot --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 github/awesome-copilot qdrant-performance-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.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/github/awesome-copilot/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
- 40k
- Used in
- 1 other repo
- Token cost
- ~461 tokens
- SKILL.md length
- 215 words
- Files
- 1
- Skills in repo
- 417
- Repo updated
- First seen
- Licence
- MIT
At a glance
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.
- You want to improve the speed and efficiency of your Qdrant deployment
- SKILL.md covers Search Speed Optimization, Indexing Performance… and Memory Usage Optimization
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Vector databases
What it does
Qdrant Performance Optimization is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
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: 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
- You want to improve the speed and efficiency of your Qdrant deployment
- Tasks that involve Vector databases
- Tasks that involve Performance optimization
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 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:
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 461 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 215 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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 215 words, ~461 tokens.
Download SKILL.mdSave it as
.claude/skills/qdrant-performance-optimization/SKILL.md (or your agent's skills folder).- name
- qdrant-performance-optimization
- description
- Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
- allowed-tools
- Read, Grep, Glob
Qdrant Performance Optimization
There are different aspects of Qdrant performance, this document serves as a navigation hub for different aspects of performance optimization in Qdrant.
Search Speed Optimization
There are two different criteria for search speed: latency and throughput. Latency is the time it takes to get a response for a single query, while throughput is the number of queries that can be processed in a given time frame. Depending on your use case, you may want to optimize for one or both of these metrics.
More on search speed optimization can be found in the Search Speed Optimization skill.
Indexing Performance Optimization
Qdrant needs to build a vector index to perform efficient similarity search. The time it takes to build the index can vary depending on the size of your dataset, hardware, and configuration.
More on indexing performance optimization can be found in the Indexing Performance Optimization skill.
Memory Usage Optimization
Vector search can be memory intensive, especially when dealing with large datasets. Qdrant has a flexible memory management system, which allows you to precisely control which parts of storage are kept in memory and which are stored on disk. This can help you optimize memory usage without sacrificing performance.
More on memory usage optimization can be found in the Memory Usage Optimization skill.
© 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-performance-optimization 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 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 skillgithub/awesome-copilot | 40k | 1 repos | ~461 | Automated safety check: Pass | MIT | |
| Qdrant Indexing Performance Optimizationqdrant/skills | 253 | 2 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Qdrant Performance Optimizationqdrant/skills | 253 | — | ~456 | Automated safety check: Pass | Apache-2.0 | |
| Qdrant Memory Usage Optimizationqdrant/skills | 253 | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Qdrant Horizontal Scalingqdrant/skills | 253 | 2 repos | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Qdrant Minimize Latencyqdrant/skills | 253 | 2 repos | ~725 | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
- Official
Qdrant Performance Optimization
qdrant/skills
Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.
- Official
Qdrant Memory Usage Optimization
qdrant/skills
Diagnoses and reduces Qdrant memory usage. An agent skill from qdrant/skills.
- Official
Qdrant Horizontal Scaling
qdrant/skills
Diagnoses and guides Qdrant horizontal scaling decisions. An agent skill from qdrant/skills.
- Official
Qdrant Minimize Latency
qdrant/skills
Guides Qdrant query latency optimization. An agent skill from qdrant/skills.
- Official
Qdrant Scaling Data Volume
qdrant/skills
Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills.
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Related
Works with
Categories
Questions about Qdrant Performance Optimization
What does Qdrant Performance Optimization do?
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Qdrant Performance Optimization is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.
When should I use Qdrant Performance Optimization?
Qdrant Performance Optimization fits situations like: you want to improve the speed and efficiency of your Qdrant deployment; tasks that involve Vector databases; tasks that involve Performance optimization.
How do I install Qdrant Performance Optimization in Claude Code?
Run `npx skills add github/awesome-copilot --skill qdrant-performance-optimization -a claude-code`. Or copy the skill folder (skills/qdrant-performance-optimization in github/awesome-copilot) 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 github/awesome-copilot --skill qdrant-performance-optimization -a codex`. Or copy the skill folder (skills/qdrant-performance-optimization in github/awesome-copilot) 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 github/awesome-copilot --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 MIT 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 461 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 Indexing Performance Optimization (qdrant/skills, 253 stars), Qdrant Performance Optimization (qdrant/skills, 253 stars), Qdrant Memory Usage Optimization (qdrant/skills, 253 stars) and Qdrant Horizontal Scaling (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 Performance Optimization?
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.