AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Azure deployment for web apps — Static Web Apps, App Service, Blob Storage, Bicep/ARM, GitHub Actions CI/CD. Use when deploying Next.js/Vite to Azure or configuring Azure resources for full-stack apps.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Tech Stack Target / Version: Azure Static Web Apps, App Service, Bicep or ARM templates, GitHub Actions, Node.js 20+, and Azure CLI 2.60+.
Deployment and integration patterns for Azure cloud services, focusing on web application hosting, CI/CD automation, and infrastructure as code.
Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.
Before claiming "skill applied successfully":
name: Deploy to Azure Static Web Apps
on:
push:
branches: [main]
pull_request:
types: [opened, synchronize, reopened, closed]
branches: [main]
jobs:
build_and_deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build and Deploy
uses: Azure/static-web-apps-deploy@v1
with:
azure_static_web_apps_api_token: ${{ secrets.AZURE_STATIC_WEB_APPS_API_TOKEN }}
repo_token: ${{ secrets.GITHUB_TOKEN }}
action: "upload"
app_location: "/"
api_location: "api"
output_location: "dist"
{
"routes": [
{ "route": "/api/*", "allowedRoles": ["authenticated"] },
{ "route": "/*", "serve": "/index.html", "statusCode": 200 }
],
"navigationFallback": {
"rewrite": "/index.html",
"exclude": ["/api/*", "*.{css,js,png,jpg,svg,ico}"]
},
"globalHeaders": {
"X-Content-Type-Options": "nosniff",
"X-Frame-Options": "DENY",
"Content-Security-Policy": "default-src 'self'"
},
"responseOverrides": {
"401": { "redirect": "/login", "statusCode": 302 }
}
}
Full end-to-end deployment guide with Key Vault integration, Application Insights, and Azure Storage available in examples/nextjs-app-service-deployment.md.
| Resource | Purpose |
|---|---|
| App Service Plan | Linux hosting for Node.js apps |
| Web App | Next.js application instance |
| Key Vault | Secure secrets management (MongoDB URI, auth secrets) |
| Storage Account | File uploads (recipe images) |
| Application Insights | Monitoring and telemetry |
| Managed Identity | Service-to-service authentication (no passwords) |
Automated deployment script: scripts/deploy-appservice.ps1
.\deploy-appservice.ps1 -AppName "my-app" -ResourceGroup "rg-my-app" -Sku S1 -EnableAppInsights -EnableStorage
name: Deploy Next.js to App Service
on:
push:
branches: [main]
permissions:
id-token: write # Required for OIDC authentication
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- name: Install and Build
run: |
npm ci
npm run build
- name: Azure Login (OIDC)
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Deploy to App Service
uses: azure/webapps-deploy@v3
with:
app-name: kitchen-odyssey
package: .
az webapp config appsettings set --name <app-name> --resource-group <rg> --settings \
AZURE_KEYVAULT_RESOURCEENDPOINT="https://<vault-name>.vault.azure.net" \
AZURE_CLIENTID="<Managed-Identity-Client-ID>" \
NEXTAUTH_URL="https://<app-name>.azurewebsites.net" \
NODE_ENV="production"
Legacy Pattern (not recommended - secrets exposed in app settings):
az webapp config appsettings set --name <app-name> --resource-group <rg> --settings \
MONGODB_URI="mongodb+srv://..." \
NEXTAUTH_SECRET="..."
import { BlobServiceClient } from '@azure/storage-blob';
const blobServiceClient = BlobServiceClient.fromConnectionString(
process.env.AZURE_STORAGE_CONNECTION_STRING
);
export async function uploadFile(containerName, fileName, buffer, contentType) {
const containerClient = blobServiceClient.getContainerClient(containerName);
await containerClient.createIfNotExists({ access: 'blob' });
const blockBlobClient = containerClient.getBlockBlobClient(fileName);
await blockBlobClient.uploadData(buffer, {
blobHTTPHeaders: { blobContentType: contentType },
});
return blockBlobClient.url;
}
export async function deleteFile(containerName, fileName) {
const containerClient = blobServiceClient.getContainerClient(containerName);
const blockBlobClient = containerClient.getBlockBlobClient(fileName);
await blockBlobClient.deleteIfExists();
}
export async function generateSasUrl(containerName, fileName, expiresInMinutes = 60) {
const containerClient = blobServiceClient.getContainerClient(containerName);
const blobClient = containerClient.getBlobClient(fileName);
const sasUrl = await blobClient.generateSasUrl({
permissions: BlobSASPermissions.parse('r'),
expiresOn: new Date(Date.now() + expiresInMinutes * 60 * 1000),
});
return sasUrl;
}
@description('The name of the web app')
param appName string
@description('The location for resources')
param location string = resourceGroup().location
@description('The SKU of the App Service Plan')
param sku string = 'B1'
resource appServicePlan 'Microsoft.Web/serverfarms@2023-01-01' = {
name: '${appName}-plan'
location: location
sku: {
name: sku
}
properties: {
reserved: true
}
kind: 'linux'
}
resource webApp 'Microsoft.Web/sites@2023-01-01' = {
name: appName
location: location
properties: {
serverFarmId: appServicePlan.id
siteConfig: {
linuxFxVersion: 'NODE|20-lts'
appSettings: [
{ name: 'MONGODB_URI', value: cosmosDb.listConnectionStrings().connectionStrings[0].connectionString }
{ name: 'NODE_ENV', value: 'production' }
]
}
}
}
resource cosmosDb 'Microsoft.DocumentDB/databaseAccounts@2023-04-15' = {
name: '${appName}-db'
location: location
kind: 'MongoDB'
properties: {
databaseAccountOfferType: 'Standard'
capabilities: [{ name: 'EnableMongo' }]
locations: [{ locationName: location, failoverPriority: 0 }]
}
}
output webAppUrl string = 'https://${webApp.properties.defaultHostName}'
az deployment group create \
--resource-group myResourceGroup \
--template-file main.bicep \
--parameters appName=my-recipe-app
name: CI/CD Pipeline
on:
push:
branches: [main, staging]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with: { node-version: '20', cache: 'npm' }
- run: npm ci
- run: npm run lint
- run: npm run test
deploy-staging:
needs: test
if: github.ref == 'refs/heads/staging'
runs-on: ubuntu-latest
environment: staging
steps:
- uses: actions/checkout@v4
- run: npm ci && npm run build
- uses: azure/webapps-deploy@v3
with:
app-name: ${{ secrets.STAGING_APP_NAME }}
publish-profile: ${{ secrets.STAGING_PUBLISH_PROFILE }}
deploy-production:
needs: test
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v4
- run: npm ci && npm run build
- uses: azure/webapps-deploy@v3
with:
app-name: ${{ secrets.PROD_APP_NAME }}
publish-profile: ${{ secrets.PROD_PUBLISH_PROFILE }}
| Issue | Solution |
|---|---|
| SWA deployment fails | Check output_location matches build output directory |
| App Service 500 errors | Check application logs: az webapp log tail |
| Blob upload CORS | Configure CORS rules on storage account |
| Bicep deployment error | Validate: az bicep build --file main.bicep |
| Environment variables missing | Check App Settings in Azure Portal |
| Cold start latency | Use Always On for App Service, or premium SWA tier |
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/azure-integrations and restart Codex after major changes.Preferred MCP Server: Azure MCP
SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."az), Bicep or ARM templates, and the bundled PowerShell deployment scripts in this skill when the MCP server is unavailable.az queries, deployment logs, and portal checks before closing the task.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
日本語の概要は準備中です。原文の説明を表示しています。
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
日本語の概要は準備中です。原文の説明を表示しています。