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Zilliz Cloud CLI Skill

A skill that teaches AI agents how to operate Zilliz Cloud and Milvus vector databases through zilliz-cli. Instead of memorizing CLI commands, just describe what you want:

  • "Create a serverless cluster in us-east-1 and set up a collection with 768-dimension vectors"
  • "Search for similar items in my product collection with filter age > 20"
  • "Show me the status of all my clusters and collections"
  • "Set up a daily backup policy for my production cluster with 7-day retention"
  • "Create a role with read-only access to the analytics collection"
  • "Import data from S3 into my embeddings collection"
  • "Check the status of my import job"
  • "Show me this month's usage and invoices"
  • "Spin up a Vector Lake in us-east-1 and create an on-demand cluster with a 30-minute idle TTL"
  • "Refresh my external collection from Vector Lake and tell me when the job finishes"

Skill Structure

zilliz/
├── SKILL.md                      # Main entry — prerequisites, workflows, safety rules
└── references/                   # Domain-specific command references (loaded on demand)
    ├── setup.md                  # Install, auth, context, config, troubleshooting
    ├── cluster.md                # Cluster create, list, describe, modify, suspend, delete; Vector Lake
    ├── on-demand-cluster.md      # On-demand (Vector Lake) clusters with auto-suspend TTL
    ├── collection.md             # Collection CRUD, aliases, load/release, per-collection metrics
    ├── external-collection.md    # Refresh jobs for Vector Lake-backed external collections
    ├── vector.md                 # Search, query, insert, hybrid search, filter syntax
    ├── index.md                  # Index types, create/drop
    ├── database.md               # Database CRUD (Dedicated clusters only)
    ├── partition.md              # Partition management
    ├── user-role.md              # RBAC: users, roles, privileges
    ├── backup.md                 # Backup/restore, policies
    ├── import.md                 # Bulk data import from cloud storage; import stages
    ├── billing.md                # Usage, invoices, payment
    ├── monitoring.md             # Status overview, collection stats, cluster and per-collection time-series metrics
    ├── project-region.md         # Projects, volumes, cloud providers
    ├── privatelink.md            # PrivateLink endpoint services, endpoints, whitelist
    └── job.md                    # Async job tracking

Capabilities

Area What You Can Do
Clusters Create, delete, suspend, resume, modify
Vector Lake Create Vector Lake instances; provision, list, describe, and delete on-demand clusters with auto-suspend TTL
Collections Create with custom schema, load, release, rename, drop
External Collections Trigger / describe / list refresh jobs against Vector Lake-backed sources
Vectors Search, query, insert, upsert, delete, hybrid search
Indexes Create (AUTOINDEX), list, describe, drop
Databases Create, list, describe, drop
Users & Roles RBAC setup, privilege management
Backups Create, restore, export, policy management
Import Bulk data import from cloud storage; managed import stages
Jobs Track async operations (backup, restore, migration, import, clone)
Partitions Create, load, release, manage
Monitoring Cluster status, collection stats, load states, cluster and per-collection time-series metrics
Billing Usage, invoices, payment methods
Projects Project and region management
PrivateLink Endpoint services, project endpoints, whitelist management

Installation

Claude Code

claude skill add ./zilliz.skill

Manual

Copy the zilliz/ directory into your skill path and ensure SKILL.md is discoverable by your agent.

Requirements

  • A Zilliz Cloud account (or local Milvus instance)
  • zilliz-cli (the skill guides installation automatically)

Origin

Extracted from the zilliz-plugin Claude Code plugin. The reference files correspond directly to the plugin's skills/ directory.

License

Apache License 2.0

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Agent skill that teaches AI agents how to manage Zilliz Cloud vector databases through zilliz-cli

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