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zilliz-cloud齐利兹云

Agent Skill

zilliz-cloud 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

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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

MIT-0

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:zilliz-cloud(齐利兹云)
来源仓库:https://github.com/lumina2025/zilliz-cloud
安装命令:
openclaw skills install zilliz-cloud
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install zilliz-cloud

简介

通过 zilliz-cli 管理 Zilliz Cloud 集群和 Milvus 矢量数据库 — 集群操作、集合、矢量搜索、RBAC、备份、导入等。

SKILL.md

name
zilliz-cloud
version
0.3.0
description
Manage Zilliz Cloud clusters and Milvus vector databases — cluster ops, collections, vector search, RBAC, backups, imports, and more via zilliz-cli.
tags
["zilliz", "milvus", "vector-database", "semantic-search", "rag", "cloud", "database"]
metadata
openclaw
emoji
\F50D
homepage
https://github.com/zilliztech/zilliz-plugin
primaryEnv
ZILLIZ_API_KEY
requires
env
bins
os
install
package
zilliz-cli
bins

Zilliz Cloud CLI Skill

Your Zilliz Cloud console in the terminal. This skill enables you to operate the zilliz-cli, bringing the full power of Zilliz Cloud — cluster management, collection operations, vector search, RBAC, backups, and more — through natural language.

When to Use

Use this skill when the user wants to:

  • Manage Zilliz Cloud clusters (create, delete, suspend, resume, modify)
  • Work with Milvus collections (create, describe, load, release, drop)
  • Perform vector operations (search, query, insert, upsert, delete)
  • Manage indexes, databases, partitions
  • Set up users, roles, and access control (RBAC)
  • Create and manage backups or backup policies
  • Import bulk data from cloud storage
  • Check billing, usage, or invoices
  • Monitor cluster and collection status

Capabilities Overview

AreaWhat You Can Do
ClustersCreate, delete, suspend, resume, modify
CollectionsCreate with custom schema, load, release, rename, drop
VectorsSearch, query, insert, upsert, delete
IndexesCreate, list, describe, drop
DatabasesCreate, list, describe, drop
Users & RolesRBAC setup, privilege management
BackupsCreate, restore, export, policy management
ImportBulk data import from cloud storage
PartitionsCreate, load, release, manage
MonitoringCluster status, collection stats
BillingUsage, invoices, payment methods
ProjectsProject and region management

Requirements

  • Python 3.10+
  • A Zilliz Cloud account (or local Milvus instance)

Setup & Authentication

Prerequisites

Before running any zilliz-cli command, verify the following in order:

  1. CLI installed and up to date? Run python3 -m pip install --upgrade zilliz-cli to ensure the latest version is installed.
  2. Logged in? Run zilliz auth status. If not logged in, guide through login (see below).
  3. Context set? (Only for data-plane operations) Run zilliz context current. If no context, guide through context setup.

Install / Upgrade CLI

python3 -m pip install --upgrade zilliz-cli

Verify installation:

zilliz --version

Authentication

IMPORTANT: Login commands (zilliz login, zilliz configure) require an interactive terminal and CANNOT run inside the AI agent. Always instruct the user to run these in their own terminal.

Check if already logged in:

zilliz auth status

If not logged in, tell the user to open their own terminal and run one of the following:

Option 1: Browser-based login (OAuth) — full feature access

zilliz login
  • Opens a browser for authentication
  • Retrieves user info, organization data, and API keys
  • Use --no-browser in headless environments (displays a URL to visit manually)

Option 2a: API Key via login command

zilliz login --api-key

Option 2b: API Key via configure (legacy)

zilliz configure
  • Prompts for an API key (found in Zilliz Cloud console under API Keys)
  • Limitations compared to OAuth login:

- Organization switching not available - On Serverless clusters: database management, user/role management may be restricted - Some control-plane operations may require OAuth login

Option 3: Environment variable

User can add to their shell profile (.zshrc / .bashrc):

export ZILLIZ_API_KEY=<your-api-key>

After the user completes authentication, verify by running:

zilliz auth status

Configure Subcommands

zilliz configure              # Interactive API key setup
zilliz configure list          # Show all config values
zilliz configure set <key> <value>  # Set a config value
zilliz configure get <key>     # Get a config value
zilliz configure clear         # Clear all credentials

Switch Organization

These commands require an interactive terminal. Instruct the user to run in their own terminal:

# Interactive selection
zilliz auth switch

# Direct switch by org ID
zilliz auth switch <org-id>

Logout

zilliz logout

Set Cluster Context

Data-plane commands (collection, vector, index, etc.) require an active cluster context.

# Set by cluster ID (endpoint auto-resolved)
zilliz context set --cluster-id <cluster-id>

# Set with explicit endpoint
zilliz context set --cluster-id <cluster-id> --endpoint <url>

# Change database (default: "default")
zilliz context set --database <db-name>

View Current Context

zilliz context current

Output Format

All zilliz-cli commands support --output json for structured, machine-readable output:

zilliz cluster list --output json
zilliz collection describe --name <name> --output json

Available formats: json, table, text. Default is text.

Cluster Type Differences

FeatureFreeServerlessDedicated
Collection CRUDYesYesYes
Vector search/queryYesYesYes
Database create/dropNoNoYes
User/role managementNoLimitedYes
Backup managementNoYesYes
Cluster modifyNoNoYes

Quickstart Command

Guide the user through the complete Zilliz Cloud CLI setup:

  1. Check Pythonpython3 --version (need 3.10+)
  2. Install CLIpython3 -m pip install --upgrade zilliz-cli then zilliz --version
  3. Authenticatezilliz auth status; if not logged in, instruct user to run zilliz login in their own terminal
  4. List clusterszilliz cluster list; if none, offer to create one
  5. Set contextzilliz context set --cluster-id <id>
  6. Verifyzilliz context current and zilliz collection list

Cluster Management

List Clusters

zilliz cluster list
zilliz cluster list --page-size 10 --page 1
zilliz cluster list --all

Describe a Cluster

zilliz cluster describe --cluster-id <cluster-id>

Create a Cluster

# Serverless (default)
zilliz cluster create --type serverless --name <name> --project-id <project-id> --region <region-id>

# Free tier
zilliz cluster create --type free --name <name> --project-id <project-id> --region <region-id>

# Dedicated
zilliz cluster create --type dedicated \
  --name <name> \
  --project-id <project-id> \
  --region <region-id> \
  --cu-type <cu-type> \
  --cu-size <cu-size>

To find available project IDs, cloud providers, and regions:

zilliz project list
zilliz cluster providers
zilliz cluster regions
zilliz cluster regions --cloud-id <cloud-id>

Delete / Suspend / Resume a Cluster

zilliz cluster delete --cluster-id <cluster-id>
zilliz cluster suspend --cluster-id <cluster-id>
zilliz cluster resume --cluster-id <cluster-id>

Modify a Cluster

zilliz cluster modify --cluster-id <cluster-id> --cu-size <new-size>
zilliz cluster modify --cluster-id <cluster-id> --replica <count>
zilliz cluster modify --cluster-id <cluster-id> --body '{"cuSize": 2, "replica": 2}'

Cluster Guidance

  • Before creating a cluster, help the user choose a region by running zilliz cluster providers and zilliz cluster regions.
  • Cluster creation is asynchronous. After cluster create, poll with zilliz cluster describe until status becomes RUNNING.
  • Before deleting a cluster, always confirm with the user — this is irreversible.
  • After creating a cluster, suggest setting context with zilliz context set --cluster-id <id>.

Collection Management

All collection commands accept an optional --database <db-name> flag.

List / Describe Collections

zilliz collection list
zilliz collection list --database <db-name>
zilliz collection describe --name <collection-name>

Create a Collection

Quick create with auto schema:

zilliz collection create --name <name> --dimension <dim>
# Optional: --metric-type COSINE|L2|IP --id-type Int64|VarChar --auto-id true|false

Advanced create with custom schema:

zilliz collection create --name <name> --body '{
  "schema": {
    "fields": [
      {"fieldName": "id", "dataType": "Int64", "isPrimary": true},
      {"fieldName": "vector", "dataType": "FloatVector", "elementTypeParams": {"dim": "768"}},
      {"fieldName": "text", "dataType": "VarChar", "elementTypeParams": {"max_length": "1024"}}
    ]
  }
}'

Drop / Rename / Check Existence

zilliz collection drop --name <collection-name>
zilliz collection rename --name <old-name> --new-name <new-name>
zilliz collection rename --name <old-name> --new-name <new-name> --new-database <db-name>
zilliz collection has --name <collection-name>

Load / Release / Stats

zilliz collection load --name <collection-name>
zilliz collection release --name <collection-name>
zilliz collection get-stats --name <collection-name>
zilliz collection get-load-state --name <collection-name>
zilliz collection flush --name <collection-name>
zilliz collection compact --name <collection-name>

Collection Aliases

zilliz alias create --collection <collection-name> --alias <alias-name>
zilliz alias list --database <db-name>
zilliz alias list --database <db-name> --collection <collection-name>
zilliz alias describe --alias <alias-name>
zilliz alias alter --collection <new-collection-name> --alias <alias-name>
zilliz alias drop --alias <alias-name>

Collection Guidance

  • Ask about use case to recommend dimension, metric type, and schema.
  • Before dropping a collection, confirm with the user — this deletes all data.
  • A collection must be loaded before search or query.
  • Use describe to inspect schema before vector operations.

Vector Operations

All vector commands accept an optional --database <db-name> flag. Target collection must exist and be loaded.

Vector Search

zilliz vector search \
  --collection <collection-name> \
  --data '[[0.1, 0.2, 0.3, ...]]' \
  --limit 10
# Optional:
#   --filter 'age > 20 and status == "active"'
#   --output-fields '["field1", "field2"]'
#   --anns-field <vector-field-name>

Hybrid Search

zilliz vector hybrid-search \
  --collection <collection-name> \
  --search '[
    {"data": [[0.1, 0.2, ...]], "annsField": "dense_vector", "limit": 10},
    {"data": [["search text"]], "annsField": "sparse_vector", "limit": 10}
  ]' \
  --rerank '{"strategy": "rrf", "params": {"k": 60}}' \
  --limit 10
# Optional: --output-fields '["field1", "field2"]'

Query (Filter-Based Retrieval)

zilliz vector query \
  --collection <collection-name> \
  --filter 'id in [1, 2, 3]' \
  --limit 10
# Optional: --output-fields '["field1", "field2"]'

Get by ID

zilliz vector get \
  --collection <collection-name> \
  --id '[1, 2, 3]'
# Optional: --output-fields '["field1", "field2"]'

Insert / Upsert Vectors

zilliz vector insert \
  --collection <collection-name> \
  --data '[
    {"id": 1, "vector": [0.1, 0.2, ...], "text": "hello"},
    {"id": 2, "vector": [0.3, 0.4, ...], "text": "world"}
  ]'

zilliz vector upsert \
  --collection <collection-name> \
  --data '[{"id": 1, "vector": [0.1, ...], "text": "updated"}]'
# Optional: --partition <partition-name>

For large datasets, read from file:

zilliz vector insert --collection <name> --data "$(cat data.json)"

Delete Vectors

zilliz vector delete \
  --collection <collection-name> \
  --filter 'id in [1, 2, 3]'
# Optional: --partition <partition-name>

Filter Expression Syntax

ExpressionExample
Comparisonage > 20
Equalitystatus == "active"
IN listid in [1, 2, 3]
AND/ORage > 20 and status == "active"
String matchtext like "hello%"
Array containstags array_contains "ml"

Vector Guidance

  • Before searching, inspect schema with zilliz collection describe for field names and dimensions.
  • The --data value must match the collection's vector dimension exactly.
  • For text-to-vector search, the user needs an embedding model to convert text to vectors first.
  • For large insert operations, suggest writing data to a JSON file first.

Index Management

All index commands accept an optional --database <db-name> flag.

Create an Index

zilliz index create --collection <collection-name> --body '{
  "indexParams": [
    {
      "fieldName": "vector",
      "indexName": "vector_index",
      "metricType": "COSINE",
      "indexType": "AUTOINDEX"
    }
  ]
}'

Common index types: AUTOINDEX (recommended), IVF_FLAT, IVF_SQ8, HNSW. Common metric types: COSINE, L2, IP.

List / Describe / Drop Indexes

zilliz index list --collection <collection-name>
zilliz index describe --collection <collection-name> --index-name <index-name>
zilliz index drop --collection <collection-name> --index-name <index-name>

Index Guidance

  • On Zilliz Cloud, AUTOINDEX is recommended for most use cases.
  • An index is required before loading a collection for search.
  • After creating an index, remind the user to load the collection.

Database Management

Commands

zilliz database list
zilliz database create --name <db-name>
zilliz database create --name <db-name> --body '{"properties": {}}'
zilliz database describe --name <db-name>
zilliz database drop --name <db-name>

Database Guidance

  • Database create, describe, and drop are only available on Dedicated clusters. database list works on all cluster types.
  • Every cluster has a "default" database.
  • Before dropping a database, confirm with the user — all collections in it will be deleted.
  • After creating a database, suggest switching context: zilliz context set --database <db-name>.

Partition Management

Commands

zilliz partition list --collection <collection-name>
zilliz partition create --collection <collection-name> --partition <partition-name>
zilliz partition has --collection <collection-name> --partition <partition-name>
zilliz partition get-stats --collection <collection-name> --partition <partition-name>
zilliz partition load --collection <collection-name> --names '["partition1", "partition2"]'
zilliz partition release --collection <collection-name> --names '["partition1", "partition2"]'
zilliz partition drop --collection <collection-name> --partition <partition-name>

Partition Guidance

  • Every collection has a default _default partition.
  • A partition must be loaded before it can be searched.
  • Before dropping a partition, confirm with the user.

User & Role Management (RBAC)

Only available on Dedicated clusters.

Users

zilliz user list
zilliz user create --user <username> --password <password>
zilliz user describe --user <username>
zilliz user update-password --user <username> --password <old-password> --new-password <new-password>
zilliz user grant-role --user <username> --role <role-name>
zilliz user revoke-role --user <username> --role <role-name>
zilliz user drop --user <username>

Roles

zilliz role list
zilliz role create --role <role-name>
zilliz role describe --role <role-name>
zilliz role grant-privilege \
  --role <role-name> \
  --object-type <Collection|Global|Database> \
  --object-name <name-or-*> \
  --privilege <privilege-name>
zilliz role revoke-privilege \
  --role <role-name> \
  --object-type <Collection|Global|Database> \
  --object-name <name-or-*> \
  --privilege <privilege-name>
zilliz role drop --role <role-name>

Common privileges:

  • Collection: Search, Query, Insert, Delete, CreateIndex, DropCollection
  • Global: CreateCollection, All
  • Database: ListCollections

RBAC Guidance

  • Built-in roles: admin (full access), public (no privileges by default).
  • Suggested workflow: create role → grant privileges → create user → assign role.
  • Use * as object-name to grant privilege on all objects of that type.

Backup Management

No cluster context required — backup operations use --cluster-id directly.

Create a Backup

# Full cluster backup
zilliz backup create --cluster-id in01-xxxxxxxxxxxx

# Collection-level backup
zilliz backup create --cluster-id in01-xxxxxxxxxxxx --database default --collection my_col

List / Describe / Delete Backups

zilliz backup list
zilliz backup list --cluster-id <cluster-id>
zilliz backup list --creation-method manual   # or: auto
zilliz backup list --backup-type CLUSTER      # or: COLLECTION
zilliz backup describe --cluster-id <cluster-id> --backup-id <backup-id>
zilliz backup delete --cluster-id <cluster-id> --backup-id <backup-id>

Export a Backup

zilliz backup export \
  --cluster-id <cluster-id> \
  --backup-id <backup-id> \
  --integration-id <integration-id> \
  --directory <path>

Restore to a New Cluster

zilliz backup restore-cluster \
  --cluster-id <source-cluster-id> \
  --backup-id <backup-id> \
  --project-id <project-id> \
  --name <new-cluster-name> \
  --cu-size <size> \
  --collection-status LOADED

Restore Specific Collections

zilliz backup restore-collection \
  --cluster-id <source-cluster-id> \
  --backup-id <backup-id> \
  --dest-cluster-id <destination-cluster-id> \
  --body '{"collections": [{"source": "col1", "target": "col1_restored"}]}'

Backup Policy

zilliz backup describe-policy --cluster-id <cluster-id>

# Enable daily backup
zilliz backup update-policy --cluster-id in01-xxxx --auto-backup true --frequency daily --start-time 02:00 --retention-days 7

# Enable backup on Mon/Wed/Fri
zilliz backup update-policy --cluster-id in01-xxxx --auto-backup true --frequency 1,3,5 --start-time 03:00-05:00 --retention-days 14

# Disable auto-backup
zilliz backup update-policy --cluster-id in01-xxxx --auto-backup false

Backup Guidance

  • Before deleting a backup, confirm with the user — this is irreversible.
  • Explain difference: cluster restore = new cluster, collection restore = into existing cluster.
  • Suggest backup policies for production clusters.

Data Import

Target collection must exist on the target cluster.

Commands

# Start import job
zilliz import start \
  --cluster-id <cluster-id> \
  --collection <collection-name> \
  --body '{
    "files": [["s3://bucket/path/to/file.parquet"]],
    "options": {}
  }'

# List import jobs
zilliz import list --cluster-id <cluster-id>
zilliz import list --cluster-id <cluster-id> --database <db-name>

# Check import status
zilliz import status --cluster-id <cluster-id> --job-id <job-id>

Supported file formats: Parquet, JSON, CSV.

Import Guidance

  • Import jobs run asynchronously — use import status to track progress.
  • Data files must be accessible from Zilliz Cloud (e.g., S3, GCS with integration configured).
  • Collection schema must match the data file structure.

Billing

Requires OAuth login (not API Key mode).

Commands

# Usage
zilliz billing usage --last 7d
zilliz billing usage --month this
zilliz billing usage --month last
zilliz billing usage --month 2026-01
zilliz billing usage --start 2026-01-01 --end 2026-01-31

# Invoices
zilliz billing invoices
zilliz billing invoices --all
zilliz billing invoices --invoice-id inv-xxxxxxxxxxxx

# Bind credit card (instruct user to run in their own terminal)
zilliz billing bind-card --card-number <number> --exp-month <1-12> --exp-year <year> --cvc <code>

Billing Guidance

  • The bind-card command handles sensitive card data — always instruct the user to run it in their own terminal.

Project & Region Management

Projects

zilliz project list
zilliz project describe --project-id <project-id>
zilliz project create --name <project-name> --plan <Free|Serverless|Standard|Enterprise>
zilliz project upgrade --project-id <project-id> --plan <Serverless|Standard|Enterprise>

Volumes

zilliz volume create --project-id <project-id> --region <region-id> --name <volume-name>
zilliz volume list --project-id <project-id>
zilliz volume delete --name <volume-name>

Monitoring & Status

Status Overview Workflow

When the user asks for status, gather and present:

  1. zilliz context current --output json
  2. zilliz cluster describe --cluster-id <id> --output json
  3. zilliz database list --output json
  4. zilliz collection list --output json
  5. For each collection: zilliz collection get-stats --name <name> --output json and zilliz collection get-load-state --name <name> --output json

Present as:

Cluster: \<name\> (\<cluster-id\>) Status: RUNNING | Region: \<region\> | Plan: \<plan\> Database: \<current-db\>

Collections:

CollectionRowsLoad State
my_collection10,000Loaded

General Guidance

  • Always check prerequisites (CLI installed, logged in, context set) before executing commands.
  • NEVER run zilliz login, zilliz configure, or zilliz auth switch inside the AI agent — they require interactive input.
  • NEVER ask the user to paste API keys into the chat — guide them to configure credentials in their own terminal.
  • Before any destructive operation (delete cluster, drop collection, drop database, delete backup), always confirm with the user.
  • Use --output json when parsing results programmatically, then format into readable summaries.
  • When a command fails with permissions error, check the cluster type first.
  • When a command fails unexpectedly, consider whether the cluster type or auth mode may be the cause.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

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能力 5

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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。

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