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qdrantqdrant 搜索

Agent Skill

qdrant 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

784

周安装

33

GitHub Stars

14

下载量

275
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:qdrant(qdrant 搜索)
来源仓库:https://github.com/itechmeat/llm-code
仓库路径:skills/qdrant
安装命令:
npx skills add https://github.com/itechmeat/llm-code --skill qdrant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/itechmeat/llm-code --skill qdrant

简介

qdrant 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于 Qdrant 向量数据库相关的信息搜索和向量查询工作。
  • 通过关键词搜索、向量相似度匹配和结果过滤来获取数据信息。
  • 安装命令:npx skills add https://github.com/itechmeat/llm-code --skill qdrant
  • 建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作

SKILL.md

Qdrant (Skill Router)

This file is intentionally introductory.

It acts as a router: based on your situation, open the right note under references/.

Release Highlights (1.16.3 → 1.17.0)

  • Monitoring + ops: new APIs for optimization progress/stages and cluster-wide telemetry, plus a dedicated HTTP port option for /metrics.
  • Security: audit access logging and secondary API key support (rotation).
  • Retrieval: relevance feedback and Weighted RRF for hybrid ranking.
  • Write semantics: update_mode for upserts (upsert / update / insert).

Breaking / Upgrade Notes (1.17.0)

  • gRPC clients: response format for vector fields changed in gRPC. Upgrade official Qdrant client libraries and validate any custom gRPC integrations.
  • Storage upgrades: RocksDB is removed in favor of gridstore. If you are on v1.15.x, do not upgrade directly to v1.17.x — upgrade one minor version at a time.

Start here (fast)

  • New to Qdrant? Read: references/concepts.md.
  • Want the fastest local validation? Read: references/quickstart.md + references/deployment.md.
  • Integrating with Python? Read: references/api-clients.md.

Choose by situation

Data modeling

  • What should go into vectors vs payload vs your main DB? Read: references/modeling.md.
  • Working with IDs, upserts, and write semantics? Read: references/points.md.
  • Need to understand payload types and update modes? Read: references/payload.md.

Retrieval (search)

  • One consolidated entry point (search + filtering + explore + hybrid): references/retrieval.md.

Performance & indexing

  • Index types and tradeoffs: references/indexing.md.
  • Storage/optimizer internals that matter operationally: references/storage.md + references/optimizer.md.
  • Practical tuning, monitoring, troubleshooting: references/ops-checklist.md.

Deployment & ops

  • Installation/Docker/Kubernetes: references/deployment.md.
  • Configuration layering: references/configuration.md.
  • Security/auth/TLS boundary: references/security.md.
  • Backup/restore: references/snapshots.md.

API interface choice

  • REST vs gRPC, Python SDK: references/api-clients.md.

How to maintain this skill

  • Keep SKILL.md short (router + usage guidance).
  • Put details into references/*.md.
  • Merge or reorganize references when it improves discoverability.

Critical prohibitions

  • Do not ingest/quote large verbatim chunks of vendor docs; summarize in your own words.
  • Do not invent defaults not explicitly grounded in documentation; record uncertainties as TODOs.
  • Do not design backup/restore without testing a restore path.
  • Do not use NFS as the primary persistence backend (installation docs explicitly warn against it).
  • Do not expose internal cluster communication ports publicly; rely on private networking.
  • Do not use API keys/JWT over untrusted networks without TLS.
  • Do not rely on implicit runtime defaults for production; record effective configuration.

Links

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.63%
按下载量换算101

Claude

31.02%
按下载量换算85

Cursor

16.41%
按下载量换算45

Gemini CLI

8.23%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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