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daocloud/daocloud-skills

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A generated CLI and AI skill package for DaoCloud Enterprise (DCE). It wraps the DCE REST API into a dce command-line tool and bundles a companion skill for AI agents.

概要

A generated CLI and AI skill package for DaoCloud Enterprise (DCE). It wraps the DCE REST API into a dce command-line tool and bundles a companion skill for AI agents. - — a CLI generated from DCE OpenAPI specs across supported modules. Supports API discovery, search, and execution with built-in auth management. - — an AI agent skill that teaches agents how to use dce safely. - Go 1.25+ - Git (for spec sync) - Docker with buildx (for container image builds) Quick Start is for contributors building from source. If you only want to use the CLI, skip to Install the CLI. The make dev target installs dce to /usr/local/bin and symlinks skills/dce into ~/.agents/skills/dce. After make dev, you can jump straight to Usage; you do need to run "Install the Skill" or "Install the CLI" below. Only needed if you want to install this repository's skills into an AI agent environment running make dev. This installs the skills only (it does install the dce CLI binary).

README

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daocloud-skills

A generated CLI and AI skill package for DaoCloud Enterprise (DCE). It wraps the DCE REST API into a dce command-line tool and bundles a companion skill for AI agents.

Overview

  • dce — a CLI generated from DCE OpenAPI specs across supported modules. Supports API discovery, search, and execution with built-in auth management.
  • skills/dce — an AI agent skill that teaches agents how to use dce safely.

Currently supported products:

Module Description
global-management Global Management — users, groups, workspaces, roles, audit
container-management Container Management — clusters, namespaces, workloads, storage
insight Insight — observability, metrics, alerting, and related operations
operations-management Operations Management — cost allocation, operational reports, and alarm reports
ai-lab AI Lab — notebooks, jobs, datasets, models, inference, queues, and GPU resources
llm-studio LLM Studio — model catalog, inference serving, API keys, token usage, and workspace AI dashboards
workbench Application Workbench — applications, pipelines, GitOps, and deployment
billing-center Billing Center — products, pricing, orders, bills, and transactions
business-cockpit Business Cockpit — business operations KPIs, revenue metrics, and cost analytics
elasticsearch Elasticsearch — search cluster lifecycle and instance management
kafka Kafka — event-streaming cluster lifecycle and instance management
minio MinIO — object-storage cluster lifecycle and instance management
mongodb MongoDB — document-database cluster lifecycle and instance management
mysql MySQL — relational-database cluster lifecycle and instance management
postgresql PostgreSQL — relational-database cluster lifecycle and instance management
rabbitmq RabbitMQ — message-broker cluster lifecycle and instance management
redis Redis — in-memory data-store cluster lifecycle and instance management
rocketmq RocketMQ — messaging cluster lifecycle and instance management
seaweedfs SeaweedFS — distributed-storage cluster lifecycle and instance management
virtual-machines Virtual Machines — VM lifecycle, disks, snapshots, templates, and migration
microservice-engine Microservice Engine — gateways, registries, Nacos, Sentinel, and mesh operations

Prerequisites

  • Go 1.25+
  • Git (for spec sync)
  • Docker with buildx (for container image builds)

Quick Start

Quick Start is for contributors building from source. If you only want to use the CLI, skip to Install the CLI.

GitHub で README 全文を見る

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インストール

npx skillfish add daocloud/daocloud-skills
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