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Official agent skill

Qdrant Search Quality

by github in github/awesome-copilot

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.

OfficialMITAuto-check passedAI & LLM Engineering

Install Qdrant Search Quality

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

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

GitHub CLI
$ gh skill install github/awesome-copilot qdrant-search-quality --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-search-quality .claude/skills/qdrant-search-quality && 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-search-quality
GitHub stars
40k
Used in
1 other repo
Token cost
~336 tokens
SKILL.md length
103 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.

  • Someone reports search results are bad
  • SKILL.md covers Diagnosis and Tuning and Search Strategies
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Irrelevant matches

What it does

Qdrant Search Quality is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.

Its SKILL.md is about 340 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 AI & LLM Engineering, covering Vector databases, Retrieval-augmented generation and Embeddings. 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 reports search results are bad
  • Irrelevant matches
  • Missing expected results
  • Asks how to improve search quality?

Example prompts

  • “search results are bad”
  • “wrong results”
  • “low precision”
  • “/qdrant-search-quality”

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

    Links to these hosts (documentation or services it may open):

    • search.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 Search Quality loads about 336 tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 103 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~336

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). 103 words, ~336 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-search-quality/SKILL.md (or your agent's skills folder).
name
qdrant-search-quality
description
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
allowed-tools
Read, Grep, Glob

Qdrant Search Quality

First determine whether the problem is the embedding model, Qdrant configuration, or the query strategy. Most quality issues come from the model or data, not from Qdrant itself. If search quality is low, inspect how chunks are being passed to Qdrant before tuning any parameters. Splitting mid-sentence can drop quality 30-40%.

  • Start by testing with exact search to isolate the problem Search API

Diagnosis and Tuning

Isolate the source of quality issues, tune HNSW parameters, and choose the right embedding model. Diagnosis and Tuning

Search Strategies

Hybrid search, reranking, relevance feedback, and exploration APIs for improving result quality. Search Strategies

© 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-search-quality 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 Search Quality 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 Search Quality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qdrant Search Quality this skillgithub/awesome-copilot40k1 repos~336Automated safety check: PassMIT
RAG Implementationwshobson/agents40k9 repos~1.1kAutomated safety check: PassMIT
Pgvector Semantic Searchtimescale/pg-aiguide1.9k1 repos~3.8kAutomated safety check: PassApache-2.0
Hunt RAG Vectorelementalsouls/Claude-BugHunter4.8k—~2.6kAutomated safety check: PassMIT
Qdrant Hybrid Search Prefetchesqdrant/skills253—~2.4kAutomated safety check: PassApache-2.0
Qdrant Search Quality Diagnosisqdrant/skills253—~2.3kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Qdrant Search Quality

What does Qdrant Search Quality do?

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot. Qdrant Search Quality is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Diagnoses and improves Qdrant search relevance.

When should I use Qdrant Search Quality?

Qdrant Search Quality fits situations like: someone reports search results are bad; irrelevant matches; missing expected results; asks how to improve search quality?.

How do I install Qdrant Search Quality in Claude Code?

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

How do I install Qdrant Search Quality in Codex?

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

Can I use Qdrant Search Quality 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-search-quality -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-search-quality, .gemini/skills/qdrant-search-quality, .github/skills/qdrant-search-quality and .opencode/skills/qdrant-search-quality in your project.

What does Qdrant Search Quality need to run?

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

Does Qdrant Search Quality access the network?

SKILL.md names 1 domain. As links in the text: search.qdrant.tech. This is read from the text; nothing was executed.

Is Qdrant Search Quality 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 Search Quality use?

Qdrant Search Quality 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 Search Quality use?

About 336 tokens (SKILL.md is roughly 1.3k 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 Search Quality?

Skills that share tags, products or a category with Qdrant Search Quality: RAG Implementation (wshobson/agents, 40k stars), Pgvector Semantic Search (timescale/pg-aiguide, 1.9k stars), Hunt RAG Vector (elementalsouls/Claude-BugHunter, 4.8k stars) and Qdrant Hybrid Search Prefetches (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 Search Quality?

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.