Skills
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
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Agent install candidate
Use as the primary candidate after human or sandbox review.
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.
Suited tasks
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
Suited agents
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
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
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.
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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add qdrant/skillsAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/qdrant-skills/install
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.
Install handoff
/api/skills/qdrant-skills/install
LLM text format
/api/skills/qdrant-skills/install?format=text
Find alternatives
/api/skills/search?q=Skills&limit=3
Agent prompt
Use Skills for this task. Review https://www.openagentskill.com/api/skills/qdrant-skills/install, then install with: npx skills add qdrant/skillsRegistry 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.
Manifest
/api/registry/manifest/qdrant-skills
LLM text
/api/registry/manifest/qdrant-skills?format=text
Install alias
/api/registry/install/qdrant-skills
Recommend
/api/registry/recommend?task=Use%20Skills%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
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.
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.
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
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
INFO186 GitHub stars
Stars/forks activity
CHECK186 stars, 20 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-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.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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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
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 7/3/2026
- Published
- 6/30/2026
Frameworks & Tools
Decision snapshot
Primary pick
recent repository activity
Audit snapshot
Install review
Install and adoption review
- Security
- 88/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for Skills, ready for a manual X post.
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
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
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- qdrant
- Source
- qdrant/skills
- 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 skillOwner 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.
[](https://www.openagentskill.com/skills/qdrant-skills)Author
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
- 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
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