AGENT SKILLS · 任务装备 / medusajs

medusajs · Agent Skills

共 17 个 Skill，均有经来源核对的实质文档。打开卡片可阅读原始说明，了解包内文件和安装方式。

building-with-medusa

Load automatically when planning, researching, or implementing ANY Medusa backend features (custom modules, API routes, workflows, data models, module links, business logic). REQUIRED for all Medusa backend work in ALL modes (planning, implementation, exploration). Contains architectural patterns, best practices, and critical rules that MCP servers don't provide.

1小时安装量: 3
GitHub Stars: 223
最近更新: 9月22日

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mcloud-deployments

Execute mcloud deployments commands to list deployments, retrieve deployment details, and fetch build logs. Use when listing deployments, checking deployment status, or reading build output for debugging build failures.

1小时安装量: 3
GitHub Stars: 217
最近更新: 9月9日

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mcloud-local

Execute mcloud local build to reproduce a Cloud build on the local machine. Use when debugging a build-failed deployment without pushing to the tracked branch, iterating on a build fix, or testing build-variable changes locally. Requires Docker and must run inside the project's Git repo.

1小时安装量: 3
GitHub Stars: 217
最近更新: 9月9日

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building-admin-dashboard-customizations

Load automatically when planning, researching, or implementing Medusa Admin dashboard UI (widgets, custom pages, forms, tables, data loading, navigation). REQUIRED for all admin UI work in ALL modes (planning, implementation, exploration). Contains design patterns, component usage, and data loading patterns that MCP servers don't provide.

1小时安装量: 2
GitHub Stars: 234
最近更新: 10月15日

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creating-agents-in-medusa

Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, b

1小时安装量: 2
GitHub Stars: 223
最近更新: 9月22日

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storefront-best-practices

ALWAYS use this skill when working on ecommerce storefronts, online stores, shopping sites. Use for ANY storefront component including checkout pages, cart, payment flows, product pages, product listings, navigation, homepage, or ANY page/component in a storefront. CRITICAL for adding checkout, implementing cart, integrating Medusa backend, making a store agent-friendly for AI shopping agents, or building any ecommerce functionality. Framework-agnostic (Next.js, SvelteKit, TanStack Start, React,

1小时安装量: 2
GitHub Stars: 234
最近更新: 10月21日

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building-storefronts

Load automatically when planning, researching, or implementing Medusa storefront features (calling custom API routes, SDK integration, React Query patterns, data fetching). REQUIRED for all storefront development in ALL modes (planning, implementation, exploration). Contains SDK usage patterns, frontend integration, and critical rules for calling Medusa APIs.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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creating-internal-agents

Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, b

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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db-generate

Generate database migrations for a Medusa module

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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learning-medusa

Load automatically when user asks to learn Medusa development (e.g., "teach me how to build with medusa", "guide me through medusa", "I want to learn medusa"). Interactive guided tutorial where Claude acts as a coding bootcamp instructor, teaching step-by-step with checkpoints and verification.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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mcloud-environments

Execute mcloud environments commands to list, get, create, delete, redeploy, or trigger builds for Cloud environments. Use when managing environment lifecycle, redeploying after variable changes, or starting new builds from source.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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mcloud-logs

Execute mcloud logs to fetch and stream runtime logs for Cloud environments. Use when reading backend or storefront logs, filtering by time range, searching for errors, or scoping logs to a specific deployment.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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mcloud-organizations

Execute mcloud organizations commands to list or get Cloud organizations. Use when discovering organizations, resolving organization IDs by name, or retrieving organization details including members and subscription.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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mcloud-projects

Execute mcloud projects commands to list, get, or delete Cloud projects. Use when discovering projects, resolving project handles by name, or retrieving project details including linked environments.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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mcloud-variables

Execute mcloud variables commands to list, get, set, and delete environment variables for a Cloud environment. Use when inspecting, reading, creating, updating, deleting, or exporting environment variables. Never pass --reveal unless the user explicitly requests secret values.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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new-user

Create an admin user in Medusa

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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using-medusa-cloud

Manages Medusa Cloud resources through the Cloud CLI (mcloud). Use when deploying, debugging deployments, managing environments, environment variables, or any Medusa Cloud operation. CRITICAL for mcloud commands, deployment failures, build logs, Cloud setup, and CI/CD workflows.

1小时安装量: 1
GitHub Stars: 234
最近更新: 10月21日

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