Skills

STRONG · 84
Community indexed

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

Downloads0
Stars186
Version1.0.0
Quality96/100 · Excellent
Trust84/100 · Review then install
Audit92/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add qdrant/skills

Maintenance

fresh

2d since push

Risk

Safe to try

Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata

GitHub quality

186

96/100 quality · 87/100 trust

Coverage tags

CodingCoding agentsdatavector-searchqdrant

Review notes

Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
96

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
84

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
92

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

186 GitHub stars

Repo activity

186 stars, 20 forks

Maintenance

2d since push

License

Apache-2.0

Install

npx skills add qdrant/skills

Install safety

standard package or runtime install path

Permission surface

database access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add qdrant/skills
Policy
review
Human review
yes

Trust and risk

Trust
84/100
Audit
92/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add qdrant/skills

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Agent safety v2

72/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add qdrant/skills

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/qdrant-skills/install
Install command: npx skills add qdrant/skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Skills for this task. Review https://www.openagentskill.com/api/skills/qdrant-skills/install, then install with: npx skills add qdrant/skills

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

95/100

RAG and knowledge

Platforms

Python, Claude Code

Audit report

Safe to try · 92/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for RAG and knowledge

Use this as a leading candidate, then validate the README and install path in your own agent stack.

95
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

RAG and knowledge

Trust label

Production-ready

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 96/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

84
Trust score

GitHub adoption

INFO

186 GitHub stars

Stars/forks activity

CHECK

186 stars, 20 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Stars/forks activity: 186 stars, 20 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

96
GitHub stars
186
Freshness
2d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

# Qdrant Skills - Agent Skills for Qdrant Vector Search

<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://github.com/qdrant/qdrant/raw/master/docs/logo-dark.svg"> <source media="(prefers-color-scheme: light)" srcset="https://github.com/qdrant/qdrant/raw/master/docs/logo-light.svg"> <img height="100" alt="Qdrant" src="https://github.com/qdrant/qdrant/raw/master/docs/logo.svg"> </picture> </p>

<p align="center"> <b>Agent skills for building with Qdrant vector search</b> </p>

Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model migration, and more.

## Philosophy

Skills are not documentation. Qdrant already has docs in markdown. Skills answer "when?" and "why?", not "how?"

They are structured as the handbook of a Solutions Architect working on Qdrant: given a problem, navigate to the exact place in the documentation where the answer lives. No tutorials, no concept explanations. Only references and minimal snippets where absolutely necessary.

## Disclaimer

These skills are under active development. Skill content and structure may change between versions as Qdrant evolves.

## Usage

Skills are hosted at [skills.qdrant.tech](https://skills.qdrant.tech). Pass the URL of a skill directly to your agent — no installation required:

``` Use skills.qdrant.tech ```

This keeps your agent's context focused: it fetches only the skill relevant to your current problem rather than loading everything upfront.

If you prefer skills to be available offline or without passing URLs manually, you can install them locally. Refer to the [Installation](#installation) section.

## Quick Start

The recommended way is the URL method: ask your agent about Qdrant and pass [skills.qdrant.tech](https://skills.qdrant.tech) in your prompt.

``` "I have 50M vectors on a single node and

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
7/3/2026
Published
6/30/2026

Frameworks & Tools

Python

Decision snapshot

Primary pick

95
Ready
Adopt
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

92
Safe to try
Security
88/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Skills, ready for a manual X post.

Curator note
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction.

Skills gives agents a cleaner path to browse, extract, and monitor web pages.

186 stars

https://www.openagentskill.com/skills/qdrant-skills?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Skills:
https://www.openagentskill.com/skills/qdrant-skills?ref=x

Install: npx skills add qdrant/skills

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
qdrant
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to qdrant but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/qdrant-skills)](https://www.openagentskill.com/skills/qdrant-skills)

Author

Q

qdrant

@qdrant

Platform Fit

Health Signals

GitHub stars
186
Quality score
59/100
Last GitHub push
Jul 1, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

84
  • GitHub adoption186 GitHub starsINFO
  • Stars/forks activity186 stars, 20 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskdatabase surfacePASS