huawei-cloud-terraform-installer

Name: huawei-cloud-terraform-installer
Author: huaweicloud

github.com/huaweicloudCloud & DevOps5917.6k installsUpdated 2d ago

About huawei-cloud-terraform-installer

A skill for installing Terraform on Linux and Windows, using the Huawei Cloud mirror for providers by default and HashiCorp Releases for the Terraform binary. It supports version selection, initialization, testing, status checks, and removal; macOS is not supported.

Key features

01Downloads Terraform binaries from the official source
02Uses the Huawei Cloud provider mirror by default
03Supports selecting a Terraform version
04Offers init, test, check, and uninstall operations

Use cases

01Installing Terraform on Linux or Windows
02Getting providers through the Huawei Cloud mirror
03Checking or removing a Terraform installation

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/huaweicloud/huaweicloud-skills --skill huawei-cloud-terraform-installer

After installing, type/huawei-cloud-terraform-installerin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/

test-scenarios.md

verification-method.md

verification-result.md

scripts/

install_terraform.py

Details

From the project README

Huawei Cloud Terraform Installer

Cross-platform Terraform CLI installation with Huawei Cloud mirror by default (avoids GitHub network issues).

Prerequisites

Python 3.6+ (required for installation script)
Network access to:
- releases.hashicorp.com (Terraform binary)
- mirrors.huaweicloud.com (HuaweiCloud Provider)

Platform Support

Platform	Method	Notes
Linux	Binary	Direct binary download
Windows	Binary	Direct download

Why use binary download only?

Simpler and more reliable across all platforms
No dependency on package manager availability
Consistent behavior for troubleshooting

Note: macOS is not currently supported.

Windows Special Notes

Provider installation method:

Use filesystem_mirror (local file mirror)
Download zip from Huawei Cloud mirror, extract to local
Configure terraform.rc to point to local directory

Unsupported methods:

❌ direct (Registry → GitHub): GitHub timeout
❌ network_mirror: Huawei Cloud mirror directory structure incompatible

Quick Start

Basic Installation

# Auto-install (default to Huawei Cloud mirror)
python scripts/install_terraform.py

# Install + Initialize
python scripts/install_terraform.py --init

# Install + Test
python scripts/install_terraform.py --test

Specify Version

# Install specific version
python scripts/install_terraform.py --version 1.15.4

Other Operations

# Check status only
python scripts/install_terraform.py --check

# Uninstall
python scripts/install_terraform.py --uninstall

Mirror Strategy

Resource	Source	Notes
Terraform binary	HashiCorp Releases	Official source
Provider	Huawei Cloud Mirror (default)	Avoid GitHub network issues

Huawei Cloud Mirror: https://mirrors.huaweicloud.com/terraform/

Troubleshooting

Issue 1: Windows PATH Not Effective

Solution: Reopen terminal (PowerShell/CMD)

Issue 2: Permission Denied

[ERROR] Permission denied, please run with administrator privileges

Solution:

Windows: Right-click → Run as administrator
Linux: sudo python3 install_terraform.py

Issue 3: Network Timeout

Solution: Default uses Huawei Cloud mirror, should not encounter this issue

Comments

Markdown supported

Details

Author: huaweicloud
Repository: huaweicloud/huaweicloud-skills
Category: Cloud & DevOps
Installs: 17,610
GitHub stars: 59

Report

More skills

All skills

lark-apps

open.feishu.cn

732.0k

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).

azure-prepare

github.com/microsoft

571.7k

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.

wizard

github.com/mattpocock

571.5k

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-ai

github.com/microsoft

571.2k

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.