Cold Outbound Optimizer
ericosiu/ai-marketing-skills
Design, analyze, and optimize cold outbound email campaigns for Instantly.
Medusa headless commerce - modules, workflows, API routes, admin UI
$ npx skills add alinaqi/maggy --skill medusa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alinaqi/maggy medusa --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/medusa .claude/skills/medusa && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .claude/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alinaqi/maggy/tree/main/skills/medusaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alinaqi/maggy --skill medusa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alinaqi/maggy medusa --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/medusa .agents/skills/medusa && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .agents/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alinaqi/maggy --skill medusa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alinaqi/maggy medusa --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/medusa .cursor/skills/medusa && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .cursor/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alinaqi/maggy.git --path skills/medusa--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alinaqi/maggy --skill medusa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alinaqi/maggy medusa --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/medusa .gemini/skills/medusa && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .gemini/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alinaqi/maggy medusaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alinaqi/maggy --skill medusa -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/medusa .github/skills/medusa && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .github/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alinaqi/maggy --skill medusa -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alinaqi/maggy medusa --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/medusa .opencode/skills/medusa && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "medusa" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/medusa into .opencode/skills/medusa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medusa", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
medusaMedusa headless commerce - modules, workflows, API routes, admin UI
Medusa is an agent skill from alinaqi/maggy. Medusa headless commerce - modules, workflows, API routes, admin UI
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support. The repository describes itself as: What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 72a456e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npmnpxrailwaynodegitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.medusajs.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
JWT_SECRETCOOKIE_SECRETSTRIPE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Medusa loads about 4.1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 309 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
# .envAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from alinaqi/maggy at commit 72a456e, republished under its MIT licence (© alinaqi). 309 words, ~4,097 tokens.
.claude/skills/medusa/SKILL.md (or your agent's skills folder).For building headless e-commerce with Medusa - open-source, Node.js native, fully customizable.
Sources: Medusa Docs | API Reference | GitHub
| Feature | Benefit |
|---|---|
| Open Source | Self-host, no vendor lock-in, MIT license |
| Node.js Native | TypeScript, familiar stack, easy to customize |
| Headless | Any frontend (Next.js, Remix, mobile) |
| Modular | Use only what you need, extend anything |
| Built-in Admin | Dashboard included, customizable |
# Required
node --version # v20+ LTS
git --version
# PostgreSQL running locally or remote# Scaffold new Medusa application
npx create-medusa-app@latest my-store
# This creates:
# - Medusa backend
# - PostgreSQL database (auto-configured)
# - Admin dashboard
# - Optional: Next.js storefront
cd my-store
npm run dev| URL | Purpose |
|---|---|
http://localhost:9000 | Backend API |
http://localhost:9000/app | Admin dashboard |
http://localhost:8000 | Storefront (if installed) |
npx medusa user -e admin@example.com -p supersecretmedusa-store/
├── src/
│ ├── admin/ # Admin UI customizations
│ │ ├── widgets/ # Dashboard widgets
│ │ └── routes/ # Custom admin pages
│ ├── api/ # Custom API routes
│ │ ├── store/ # Public storefront APIs
│ │ │ └── custom/
│ │ │ └── route.ts
│ │ └── admin/ # Admin APIs
│ │ └── custom/
│ │ └── route.ts
│ ├── jobs/ # Scheduled tasks
│ ├── modules/ # Custom business logic
│ ├── workflows/ # Multi-step processes
│ ├── subscribers/ # Event listeners
│ └── links/ # Module relationships
├── .medusa/ # Auto-generated (don't edit)
├── medusa-config.ts # Configuration
├── package.json
└── tsconfig.jsonimport { defineConfig, loadEnv } from "@medusajs/framework/utils";
loadEnv(process.env.NODE_ENV || "development", process.cwd());
export default defineConfig({
projectConfig: {
databaseUrl: process.env.DATABASE_URL,
http: {
storeCors: process.env.STORE_CORS || "http://localhost:8000",
adminCors: process.env.ADMIN_CORS || "http://localhost:9000",
authCors: process.env.AUTH_CORS || "http://localhost:9000",
},
redisUrl: process.env.REDIS_URL,
},
admin: {
disable: false,
backendUrl: process.env.MEDUSA_BACKEND_URL || "http://localhost:9000",
},
modules: [
// Add custom modules here
],
});# .env
DATABASE_URL=postgresql://user:pass@localhost:5432/medusa
REDIS_URL=redis://localhost:6379
# CORS (comma-separated for multiple origins)
STORE_CORS=http://localhost:8000
ADMIN_CORS=http://localhost:9000
# Backend URL
MEDUSA_BACKEND_URL=http://localhost:9000
# JWT Secrets
JWT_SECRET=your-super-secret-jwt-key
COOKIE_SECRET=your-super-secret-cookie-key// src/api/store/hello/route.ts
import type { MedusaRequest, MedusaResponse } from "@medusajs/framework/http";
export async function GET(
req: MedusaRequest,
res: MedusaResponse
) {
res.json({
message: "Hello from custom store API!",
});
}
// Accessible at: GET /store/hello// src/api/admin/analytics/route.ts
import type { MedusaRequest, MedusaResponse } from "@medusajs/framework/http";
import { Modules } from "@medusajs/framework/utils";
export async function GET(
req: MedusaRequest,
res: MedusaResponse
) {
const orderService = req.scope.resolve(Modules.ORDER);
const orders = await orderService.listOrders({
created_at: {
$gte: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000), // Last 30 days
},
});
const totalRevenue = orders.reduce(
(sum, order) => sum + (order.total || 0),
0
);
res.json({
orderCount: orders.length,
totalRevenue,
});
}
// Accessible at: GET /admin/analytics (requires auth)// src/api/store/products/[id]/reviews/route.ts
import type { MedusaRequest, MedusaResponse } from "@medusajs/framework/http";
export async function GET(
req: MedusaRequest,
res: MedusaResponse
) {
const { id } = req.params;
// Fetch reviews for product
const reviews = await getReviewsForProduct(id);
res.json({ reviews });
}
export async function POST(
req: MedusaRequest,
res: MedusaResponse
) {
const { id } = req.params;
const { rating, comment, customerId } = req.body;
const review = await createReview({
productId: id,
rating,
comment,
customerId,
});
res.status(201).json({ review });
}
// Accessible at:
// GET /store/products/:id/reviews
// POST /store/products/:id/reviews// src/api/middlewares.ts
import { defineMiddlewares } from "@medusajs/framework/http";
import { authenticate } from "@medusajs/framework/http";
export default defineMiddlewares({
routes: [
{
matcher: "/store/protected/*",
middlewares: [authenticate("customer", ["session", "bearer"])],
},
{
matcher: "/admin/*",
middlewares: [authenticate("user", ["session", "bearer"])],
},
],
});// src/modules/reviews/index.ts
import { Module } from "@medusajs/framework/utils";
import ReviewModuleService from "./service";
export const REVIEW_MODULE = "reviewModuleService";
export default Module(REVIEW_MODULE, {
service: ReviewModuleService,
});// src/modules/reviews/service.ts
import { MedusaService } from "@medusajs/framework/utils";
class ReviewModuleService extends MedusaService({}) {
async createReview(data: CreateReviewInput) {
// Implementation
}
async getProductReviews(productId: string) {
// Implementation
}
async getAverageRating(productId: string) {
// Implementation
}
}
export default ReviewModuleService;// medusa-config.ts
import { REVIEW_MODULE } from "./src/modules/reviews";
export default defineConfig({
// ...
modules: [
{
resolve: "./src/modules/reviews",
options: {},
},
],
});// src/api/store/products/[id]/reviews/route.ts
import { REVIEW_MODULE } from "../../../modules/reviews";
export async function GET(req: MedusaRequest, res: MedusaResponse) {
const { id } = req.params;
const reviewService = req.scope.resolve(REVIEW_MODULE);
const reviews = await reviewService.getProductReviews(id);
const averageRating = await reviewService.getAverageRating(id);
res.json({ reviews, averageRating });
}// src/workflows/create-order-with-notification/index.ts
import {
createWorkflow,
createStep,
StepResponse,
} from "@medusajs/framework/workflows-sdk";
import { Modules } from "@medusajs/framework/utils";
const createOrderStep = createStep(
"create-order",
async (input: CreateOrderInput, { container }) => {
const orderService = container.resolve(Modules.ORDER);
const order = await orderService.createOrders(input);
return new StepResponse(order, order.id);
},
// Compensation (rollback) function
async (orderId, { container }) => {
const orderService = container.resolve(Modules.ORDER);
await orderService.deleteOrders([orderId]);
}
);
const sendNotificationStep = createStep(
"send-notification",
async (order: Order, { container }) => {
const notificationService = container.resolve("notificationService");
await notificationService.send({
to: order.email,
template: "order-confirmation",
data: { order },
});
return new StepResponse({ sent: true });
}
);
export const createOrderWithNotificationWorkflow = createWorkflow(
"create-order-with-notification",
(input: CreateOrderInput) => {
const order = createOrderStep(input);
const notification = sendNotificationStep(order);
return { order, notification };
}
);// In an API route
import { createOrderWithNotificationWorkflow } from "../../../workflows/create-order-with-notification";
export async function POST(req: MedusaRequest, res: MedusaResponse) {
const { result } = await createOrderWithNotificationWorkflow(req.scope).run({
input: req.body,
});
res.json(result);
}// src/subscribers/order-placed.ts
import type { SubscriberArgs, SubscriberConfig } from "@medusajs/framework";
export default async function orderPlacedHandler({
event,
container,
}: SubscriberArgs<{ id: string }>) {
const orderId = event.data.id;
console.log(`Order placed: ${orderId}`);
// Send notification, update analytics, etc.
const notificationService = container.resolve("notificationService");
await notificationService.sendOrderConfirmation(orderId);
}
export const config: SubscriberConfig = {
event: "order.placed",
};| Event | Trigger |
|---|---|
order.placed | New order created |
order.updated | Order modified |
order.canceled | Order cancelled |
order.completed | Order fulfilled |
customer.created | New customer registered |
product.created | New product added |
product.updated | Product modified |
inventory.updated | Stock changed |
// src/jobs/sync-inventory.ts
import type { MedusaContainer } from "@medusajs/framework";
export default async function syncInventoryJob(container: MedusaContainer) {
const inventoryService = container.resolve("inventoryService");
console.log("Running inventory sync...");
await inventoryService.syncFromExternalSource();
console.log("Inventory sync complete");
}
export const config = {
name: "sync-inventory",
schedule: "0 */6 * * *", // Every 6 hours
};// src/admin/widgets/sales-overview.tsx
import { defineWidgetConfig } from "@medusajs/admin-sdk";
import { Container, Heading, Text } from "@medusajs/ui";
const SalesOverviewWidget = () => {
return (
<Container>
<Heading level="h2">Sales Overview</Heading>
<Text>Your custom sales data here...</Text>
</Container>
);
};
export const config = defineWidgetConfig({
zone: "order.list.before", // Where to show the widget
});
export default SalesOverviewWidget;| Zone | Location |
|---|---|
order.list.before | Before order list |
order.details.after | After order details |
product.list.before | Before product list |
product.details.after | After product details |
customer.list.before | Before customer list |
// src/admin/routes/analytics/page.tsx
import { defineRouteConfig } from "@medusajs/admin-sdk";
import { Container, Heading } from "@medusajs/ui";
import { ChartBar } from "@medusajs/icons";
const AnalyticsPage = () => {
return (
<Container>
<Heading level="h1">Analytics Dashboard</Heading>
{/* Your analytics charts */}
</Container>
);
};
export const config = defineRouteConfig({
label: "Analytics",
icon: ChartBar,
});
export default AnalyticsPage;// Frontend: Fetch products
const response = await fetch("http://localhost:9000/store/products");
const { products } = await response.json();
// With filters
const response = await fetch(
"http://localhost:9000/store/products?" +
new URLSearchParams({
category_id: "cat_123",
limit: "20",
offset: "0",
})
);// Create cart
const { cart } = await fetch("http://localhost:9000/store/carts", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
region_id: "reg_123",
}),
}).then(r => r.json());
// Add item
await fetch(`http://localhost:9000/store/carts/${cart.id}/line-items`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
variant_id: "variant_123",
quantity: 1,
}),
});
// Complete cart (create order)
const { order } = await fetch(
`http://localhost:9000/store/carts/${cart.id}/complete`,
{ method: "POST" }
).then(r => r.json());// Register
await fetch("http://localhost:9000/store/customers", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
email: "customer@example.com",
password: "password123",
first_name: "John",
last_name: "Doe",
}),
});
// Login
const { token } = await fetch("http://localhost:9000/store/auth/token", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
email: "customer@example.com",
password: "password123",
}),
}).then(r => r.json());
// Authenticated request
await fetch("http://localhost:9000/store/customers/me", {
headers: {
Authorization: `Bearer ${token}`,
},
});npm install @medusajs/payment-stripe// medusa-config.ts
export default defineConfig({
modules: [
{
resolve: "@medusajs/payment-stripe",
options: {
apiKey: process.env.STRIPE_API_KEY,
},
},
],
});# Install Railway CLI
npm install -g @railway/cli
# Login and deploy
railway login
railway init
railway up# render.yaml
services:
- type: web
name: medusa-backend
runtime: node
plan: starter
buildCommand: npm install && npm run build
startCommand: npm run start
envVars:
- key: NODE_ENV
value: production
- key: DATABASE_URL
fromDatabase:
name: medusa-db
property: connectionString
- key: JWT_SECRET
generateValue: true
- key: COOKIE_SECRET
generateValue: true
databases:
- name: medusa-db
plan: starterFROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
EXPOSE 9000
CMD ["npm", "run", "start"]# Development
npm run dev # Start dev server
# Database
npx medusa db:migrate # Run migrations
npx medusa db:sync # Sync schema
# Users
npx medusa user -e email -p pass # Create admin user
# Build
npm run build # Build for production
npm run start # Start production server© alinaqi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/medusa of alinaqi/maggy.
Open the folder on GitHubat commit 72a456e
Medusa next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Medusa this skillalinaqi/maggy | 707 | — | ~4.1k | Automated safety check: Notes | MIT | |
| Cold Outbound Optimizerericosiu/ai-marketing-skills | 3.6k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore | 195 | 40 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Amazon Buy Box Monitorbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill | 959 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Deskcomm Extensaomelgarafael/DeskcommCRM | 4.5k | — | ~2.7k | Automated safety check: Pass | MIT |
ericosiu/ai-marketing-skills
Design, analyze, and optimize cold outbound email campaigns for Instantly.
aws-samples/sample-strands-agent-with-agentcore
Guide users through a structured workflow for co-authoring documentation.
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊商品评论进行深度分析,自动识别产品痛点、分析退货原因,生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
melgarafael/DeskcommCRM
Guia para criar uma extensão do DeskcommCRM — o pacote declarativo — em vez de abrir um PR no núcleo.
tourmind-com/Tourmind-Booking-Skills
MUST USE for any hotel or accommodation intent in any language, including hotel search, hotel recommendations, nearby accommodation, hostels, guesthouses, resorts, where-to-stay questions, room…
alinaqi/maggy
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
alinaqi/maggy
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
alinaqi/maggy
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
alinaqi/maggy
Android Java development with MVVM, ViewBinding, and Espresso testing
alinaqi/maggy
Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing
alinaqi/maggy
AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type
Categories
Medusa headless commerce - modules, workflows, API routes, admin UI. Medusa is an agent skill from alinaqi/maggy.
Medusa fits situations like: sales & Support work in your project.
Run `npx skills add alinaqi/maggy --skill medusa -a claude-code`. Or copy the skill folder (skills/medusa in alinaqi/maggy) into .claude/skills/medusa in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alinaqi/maggy --skill medusa -a codex`. Or copy the skill folder (skills/medusa in alinaqi/maggy) into .agents/skills/medusa in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alinaqi/maggy --skill medusa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medusa, .gemini/skills/medusa, .github/skills/medusa and .opencode/skills/medusa in your project.
Going by SKILL.md and its folder, Medusa needs the command-line tools its instructions call (npm, npx, railway, node and git) and credentials named JWT_SECRET, COOKIE_SECRET and STRIPE_API_KEY. Our summary lists: Node.js; A credential in JWT_SECRET; A credential in COOKIE_SECRET.
SKILL.md names 2 domains. As links in the text: docs.medusajs.com and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Medusa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Medusa: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Amazon Buy Box Monitor (browser-act/skills, 6.1k stars) and Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alinaqi (a GitHub user) maintains it in alinaqi/maggy, which has 707 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on September 24, 2026.
Source: alinaqi/maggy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.