Huawei Cloud Business Tf Support logo

Huawei Cloud Business Tf Support

Organization
huaweicloud
huawei-cloud-business-tf-support

Queries Huawei Cloud billing and fee details only when Terraform needs a billing or pricing inquiry. Covers balances, bills, coupons, cash coupons, stored-value cards, orders, refunds, costs, free resources, resource usage, enterprise accounts, and on-demand/period/ELB/NAT/DCS pricing. No write operations. Use this skill only when Terraform requires billing details, invoice/bill summaries, coupon or balance status, refund/order billing status, or pricing inquiry. Triggers: Terraform 账单查询, Terraform 费用查询, Terraform 价格询价, Terraform 询价, Terraform billing query, Terraform pricing inquiry, Terraform price quote, Terraform bill summary.

Overview

Publisherhuaweicloud
Repositoryhuaweicloud-skills
Skill namehuawei-cloud-business-tf-support
Stars
59
Forks
24
Bundled files
52
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 52 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by huaweicloud on GitHub. Read the source before you install it.

Installation

Install the Huawei Cloud Business Tf Support AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/huaweicloud/huaweicloud-skills/tree/master/skills/bss/billing/huawei-cloud-business-tf-support
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/huaweicloud/huaweicloud-skills.git /tmp/huaweicloud-skills
mkdir -p .claude/skills
cp -r /tmp/huaweicloud-skills/skills/bss/billing/huawei-cloud-business-tf-support .claude/skills/huawei-cloud-business-tf-support
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huawei Cloud Business Tf Support in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Huawei Cloud Business Tf Support on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Huawei Cloud Business Tf Support is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Huawei Cloud Resource Query

⚠️ Execution Method (Must Read): This skill executes queries via local Python scripts. Do NOT use hcloud, openstack or other CLI tools, or call APIs directly.

  • Query scripts are located under the skill directory scripts/<service_category>/ (e.g., scripts/as/list_scaling_groups.py)
  • All scripts and environment check scripts are inside the skill package, must be executed using skill action=exec, do not run directly in shell
  • For specific script paths and parameters, see references/<service>/guide.md
  • Do NOT attempt hcloud, openstack, curl IAM or other CLI/API methods; this skill does not depend on those tools
  • All paths are relative to the skill directory, which is the directory where this SKILL.md is located

Overview

This skill is a standalone read-only query skill that uses local Python scripts to call the Huawei Cloud Python SDK for querying Huawei Cloud resources, available specifications, and existing resource information.

This skill is applicable to the following scenarios:

  1. Query available cloud resource specifications in a given region
  2. Query available images for a certain OS type
  3. Query disk types and existing disk information
  4. Query existing resources and their key attributes
  5. Query resources that were not created via Terraform or other IaC tools
  6. Prepare real parameters for automation configuration, resource verification, or environment inventory
  7. Obtain reusable information such as resource ID, name, specification, image, network, disk, etc.

This skill does NOT handle the following:

  1. Creating resources
  2. Modifying resources
  3. Deleting resources
  4. Guessing or fabricating information that was not queried

Capability Scope

This skill provides query capabilities through categorized scripts in the scripts directory, and usage instructions through categorized guides in the references directory. Capabilities provided by this skill include:

  1. Query resource lists
  2. Query individual resource details
  3. Query available specifications, images, disk types, and other selection information
  4. Query key identifiers and dependency relationships of existing resources

Usage Principles

Important: Script paths executed within this skill are all relative to the skill directory, which is the directory where this SKILL.md is located

  1. This skill only performs queries, no write operations
  2. Prefer using explicitly specified region, project, AZ, resource name, resource ID, etc. from the user
  3. Query results must be based on actual API responses; do not guess based on experience
  4. Returned results should prioritize key fields for subsequent reuse
  5. When result sets are large, narrow the scope by region, name, id, status, tag, etc.
  6. If there is no corresponding script or guide for the current resource type, clearly state it is unsupported; do not return unreliable results
  7. If the user does not provide necessary scope information and there are no default values in the environment, confirm before executing the query
  8. Execute directly according to guide.md; do not read script contents in the scripts directory
  9. Cache output when it is large
  10. Must execute -h to view usage before each script execution
  11. Do not invent script names; execute according to script names in guide.md. If a script name is not in guide.md, it means it is not supported
  12. For time-sensitive queries (bills, costs), use script defaults or verify current date first; do not hardcode time parameters based on assumption

Prerequisites

Before use, you must run the environment check script to complete environment validation and dependency installation in one step:

  • Linux / macOS: skill action=exec: bash skill://scripts/check_env.sh
  • Windows: skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/check_env.ps1

Windows note: Do not use && to chain commands (PowerShell 5.x does not support it); use semicolons if you need to change directory first

The script will check in order: Python >= 3.6 → install dependencies → validate SDK → validate credentials → validate service availability. If the environment check fails, fix the issue before continuing with other scripts.

Environment Variables:

VariableRequiredDescription
HW_ACCESS_KEYYesHuawei Cloud AK
HW_SECRET_KEYYesHuawei Cloud SK
HW_REGION_NAMENoDefault cn-north-4
HW_PROJECT_IDNoProject ID (auto-fetched via IAM API if not set)
HW_SECURITY_TOKENNoRequired for temporary AK/SK

Do NOT output the values of the above environment variables. For additional parameters (availability zone, enterprise project, etc.) needed by other resource scripts, see the corresponding guide.md.


Execution Flow

When this skill is invoked, the following steps must be executed without waiting for user prompts:

Step 1: Environment Preparation

Run the environment check script to ensure dependencies are installed and credentials are configured:

  • Linux / macOS: skill action=exec: bash skill://scripts/check_env.sh
  • Windows: skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/check_env.ps1

If the environment check fails, fix according to the prompt and re-execute until it passes.

Step 2: Identify and Execute Query Script

  1. Based on the user's query intent, read references/<service>/guide.md to determine the script path and parameters to execute
  2. First execute -h to view script usage:
    • Linux / macOS: skill action=exec: skill://.venv/bin/python3 skill://scripts/<service>/<script>.py -h
    • Windows: skill action=exec: skill://.venv/Scripts/python3.exe skill://scripts/<service>/<script>.py -h
  3. Assemble parameters based on user requirements and execute the script:
    • Linux / macOS: skill action=exec: skill://.venv/bin/python3 skill://scripts/<service>/<script>.py <parameters>
    • Windows: skill action=exec: skill://.venv/Scripts/python3.exe skill://scripts/<service>/<script>.py <parameters>
  4. Format the results and return to the user

Important:

  • All scripts and environment check scripts are inside the skill package, must be executed using skill action=exec, do not run directly in shell
  • venv is auto-created by the check_env script; Python is located at .venv/bin/python3 on Linux/macOS and .venv/Scripts/python3.exe on Windows
  • Do not execute scripts directly with python3
  • Do not read script source code in the scripts directory; just follow the instructions in guide.md
  • Cache results when output is large
  • --project_id parameter is optional; if not provided, it is auto-fetched based on region via IAM API

Directory Structure

Directory conventions are as follows (all paths are relative to the skill directory):

  1. scripts/<resource_category>/ contains the Python query scripts for the corresponding resources. No need to read script contents; just execute scripts according to the usage instructions in guide.md
  2. references/<resource_category>/guide.md contains the usage guide for the corresponding resources
  3. Each script is responsible for a single, clear query action
  4. Each resource category must have at least one guide.md explaining script capabilities, parameters, and usage

Parameter Confirmation

Before executing query scripts, confirm the following parameters:

ParameterRequiredDescription
regionYesHuawei Cloud region, e.g., cn-north-4
--project_idNoProject ID, auto-fetched if not provided
--availability_zoneNoAvailability zone, required for some resource queries

For script-specific parameters, see references/<service>/guide.md.


Output Format

Query results are output in JSON format with the following common fields:

  • total: Total number of matched resources
  • items: Resource list, each resource contains key fields such as id, name, status, etc.
  • Specific fields vary by resource type; see individual guide.md for details

Verification Method

  1. Run the environment check script to confirm dependencies and credentials are available
  2. Use the -h parameter to view script usage and confirm parameters are correct
  3. Execute queries on known resources and compare with console data to verify result accuracy
  4. Check if the returned total count is reasonable

Best Practices

  1. Narrow the query scope first (specify region, availability zone, etc.) to avoid returning too much data
  2. Use --help to view the full list of parameters supported by the script
  3. Cache large query results locally to avoid repeated requests
  4. When querying multiple resources, follow dependency order (e.g., query VPC first, then subnets)
  5. When script execution fails, check environment variables and network connectivity first

Reference Documentation

  • Usage guides for each service query script: references/<service>/guide.md

Notes

  1. This skill only provides read-only query capabilities; no write operations are performed
  2. Do NOT output values of HW_ACCESS_KEY, HW_SECRET_KEY, and other environment variables
  3. All scripts must be executed via skill action=exec; do not run directly in shell
  4. Do not guess script names; strictly execute according to names in guide.md
  5. Must run the environment check script before querying
  6. When using temporary AK/SK, set HW_SECURITY_TOKEN

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Huawei Cloud Business Tf Support AI skill do?

Queries Huawei Cloud billing and fee details only when Terraform needs a billing or pricing inquiry. Covers balances, bills, coupons, cash coupons, stored-value cards, orders, refunds, costs, free resources, resource usage, enterprise accounts, and on-demand/period/ELB/NAT/DCS pricing. No write operations. Use this skill only when Terraform requires billing details, invoice/bill summaries, coupon or balance status, refund/order billing status, or pricing inquiry. Triggers: Terraform 账单查询, Terraform 费用查询, Terraform 价格询价, Terraform 询价, Terraform billing query, Terraform pricing inquiry, Terra...

Why use Huawei Cloud Business Tf Support on TypingMind?

Because you install it once and use it with any model. Huawei Cloud Business Tf Support is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Huawei Cloud Business Tf Support in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huaweicloud/huaweicloud-skills/tree/master/skills/bss/billing/huawei-cloud-business-tf-support. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Huawei Cloud Business Tf Support?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Huawei Cloud Business Tf Support?

As many as you like. As long as a model supports skills, you can use Huawei Cloud Business Tf Support with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Huawei Cloud Business Tf Support AI skill free?

Yes. It is published on GitHub by huaweicloud under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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