> Use when working with Frappe Cloud, Press API, provisioning sites, or managing benches on Frappe Cloud infrastructure. Prevents failed deployments from misconfigured cloud settings and API misuse. Covers Frappe Cloud dashboard, Press API, site provisioning, bench management, environment variables, cloud-specific limitations.
npx skills add https://github.com/Impertio-Studio/Frappe_Claude_Skill_Package --skill frappe-ops-cloud
Complete reference for Frappe Cloud managed hosting and Press self-hosted alternative.
| Concept | Description |
|---------|-------------|
| Site | A single Frappe instance with its own database, domain, and apps |
| Bench | A shared runtime environment hosting one or more sites with the same app versions |
| Server | The underlying infrastructure (VM) running one or more benches |
| Private Bench | A dedicated bench for a single customer with full control |
| Shared Bench | A Frappe-managed bench shared across multiple sites |
| Press | The open-source platform (AGPL-3.0) that powers Frappe Cloud |
| Agent | Flask application on each server enabling Press-to-site communication |
Choosing hosting strategy:
├── Small team, want zero ops overhead?
│ └── Frappe Cloud (Shared Bench) — fastest time to production
├── Need custom server configuration?
│ ├── Budget for managed infra? → Frappe Cloud (Private Bench)
│ └── Want full control? → Self-hosted with bench
├── Need to host Frappe for multiple clients?
│ ├── Want managed platform? → Frappe Cloud
│ └── Want own platform? → Self-hosted Press
├── Regulatory/compliance — data must stay on-premises?
│ └── Self-hosted (bench or Press)
└── Development/testing environment?
├── Quick prototype → Frappe Cloud (free trial)
└── Long-term dev → Local bench installation
Frappe Cloud is a fully managed hosting platform for the Frappe stack. It handles server provisioning, backups, updates, monitoring, and scaling.
| Feature | Details |
|---------|---------|
| Automated backups | Scheduled daily backups with retention policies |
| Automatic updates | Managed update cycles for Frappe apps |
| Scaling | Horizontal and vertical scaling without downtime |
| Multi-tenancy | Multiple independent sites per bench |
| SSL/TLS | Automatic certificate provisioning and renewal |
| Monitoring | Real-time server and site monitoring |
| Role-based access | Granular permissions for team members |
| Billing | Daily/monthly subscriptions, wallet credits, multiple payment methods |
| Option | Use Case |
|--------|----------|
| Shared Bench | Cost-effective for small sites; Frappe manages the bench |
| Private Bench | Dedicated environment; custom app versions and update schedules |
| Dedicated Server | Full server for high-traffic or compliance requirements |
The dashboard provides centralized control for all site operations:
site_config.json via the dashboardFrappe Cloud includes a marketplace where developers can:
Developer pushes code → Frappe Cloud detects update →
Bench rebuild triggered → Assets compiled →
Sites migrated → New version live
For Private Benches: Updates are controlled by the bench owner — NEVER auto-deployed without approval.
For Shared Benches: Frappe manages the update schedule.
*.frappe.cloud subdomain or custom domainerp.example.com)| Aspect | Frappe Cloud | Self-Hosted (bench) | Self-Hosted (Press) |
|--------|:------------:|:-------------------:|:-------------------:|
| Setup time | Minutes | Hours | Days |
| Server management | Managed | You manage | You manage |
| Backups | Automatic | Manual/cron | Automatic |
| Updates | Managed schedule | bench update | Managed via Press |
| SSL certificates | Automatic | Manual/certbot | Automatic |
| Scaling | Dashboard button | Manual | Dashboard |
| Multi-tenancy | Built-in | DNS multi-tenant | Built-in |
| Cost | Subscription | Infrastructure only | Infrastructure only |
| Custom server config | Limited | Full control | Full control |
| Data sovereignty | Frappe's infra | Your infra | Your infra |
| SSH access | Private bench only | Full | Full |
| Monitoring | Built-in | Set up yourself | Built-in |
| Support | Included | Community only | Community only |
Press is the open-source platform (AGPL-3.0) that powers Frappe Cloud. Organizations can self-host Press to create their own managed hosting platform for Frappe applications.
GitHub: https://github.com/frappe/press
| Component | Technology | Role |
|-----------|-----------|------|
| Press | Frappe Framework | Platform management, billing, dashboard |
| Agent | Flask | Server-to-site communication |
| Docker | Container runtime | App packaging and deployment |
| Ansible | Automation | Server provisioning and configuration |
| Frappe UI | Vue.js | Dashboard frontend |
maintenance_mode before large data importspause_scheduler instead| Tool | Purpose |
|------|---------|
| Log Browser | View application logs, error logs, scheduler logs |
| Database Analyzer | Run SQL queries, view slow queries, analyze indexes |
| Binlog Browser | View database change logs (binary log events) |
| SSH Access | Terminal access to private benches for debugging |
| Process Status | View running workers, scheduler status, job queue |
Frappe Cloud sites can connect to external analytics tools:
| File | Contents |
|------|----------|
| examples.md | Cloud deployment workflow examples |
| anti-patterns.md | Common Frappe Cloud mistakes and fixes |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take impertio-studio/frappe-ops-cloud from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.