bailian-sandbox

Name: bailian-sandbox
Author: modelstudioai/cli

modelstudioaiCloud & DevOps854 installs

About bailian-sandbox

Entry point for Alibaba Cloud Bailian Sandbox instance and template lifecycle management: use `bl sandbox` when the user wants to create, query, connect, pause, resume, or release a Bailian sandbox, or view built-in base images, upload template mounted files, create, update, query, delete sandbox templates, or check template build status. When the user wants to access a created instance, open WebShell, or connect browser-use browser automation or a VNC live view, first get the connection information, then connect to the data plane. Not for host-execution sandbox setup, E2B official cloud resources, or general file transfer. agents.yaml hosted Agent / Session / Environment management is handled by bailian-managed-agent. Official install: `bl skill init` (installed together with the shared protocol bailian-protocol).

Install

Copy the command and run it in a terminal.

$npx skills add https://modelstudioai/cli --skill bailian-sandbox

After installing, type/bailian-sandboxin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/

instance-connections.md

reference/

index.md

sandbox.md

Comments

Markdown supported

Details

Author: modelstudioai/cli
Category: Cloud & DevOps
Installs: 854

Report

More skills

All skills

lark-apps

open.feishu.cn

739.5k

Develop and host Miaoda (Spark/Miaoda) apps: app creation, local full-stack development, cloud generation and iteration, creative design (UI mockups / interactive prototypes / wireframes / landing pages / dashboards / slide decks / visual exploration), integration of AI-related capabilities, Feishu platform capabilities, or other external capabilities; log/Trace/monitoring metric/PV/UV queries; environment variable management; app collaborators and collaboration permissions; app roles and members; and automation triggers (scheduled / record changes / Webhook / Feishu approvals). Use when users want to develop or create a system, tool, platform, or app; develop locally or in the cloud, modify, deploy, publish, launch, or get a shareable link; create a page or website with HTML and deploy it to Miaoda; design, create a mockup, prototype, wireframe, PPT, deck, or visual exploration; or mention Miaoda/Spark/Miaoda apps (links like `/app/app_xxx` or `/page/<token>`, runtime domains like *.aiforce.cloud), app databases, app file storage, open API Keys, visibility, app collaborators/developer permissions, app roles/role members, production logs, API request volume, error volume, latency, traffic, environment variables, or setting up automation tasks, scheduled triggers, or approval-triggered automation for Miaoda apps. Not for regular cloud drive file uploads (lark-drive), Feishu document editing (lark-doc), or native slide creation (lark-slides).

wizard

github.com/mattpocock

576.6k

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

azure-prepare

github.com/microsoft

573.4k

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

azure-ai

github.com/microsoft

572.8k

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.