Huawei Cloud Skills Finder for Openclaw

Openclaw Skills for Huawei Cloud turns skill discovery and installation into a fast, searchable CLI workflow.

changhui123456
v1.0.1
Jul 17, 2026
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Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install devtools-common-huawei-cloud-find-skills

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install devtools-common-huawei-cloud-find-skills using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Huawei Cloud Skills Finder?

Openclaw Skills for Huawei Cloud is a read-only skill discovery layer that searches the Huawei Cloud skill index, resolves Chinese and English intent, and returns the most relevant agent skills for install.

In Openclaw Skills, this meta-skill acts as the entry point for finding Huawei Cloud automation capabilities, validating a candidate by fetching its raw SKILL.md when needed, and then installing it with the appropriate command so execution can continue in the matched skill.

Huawei Cloud Skills Finder Use Cases

  • Find the right skill for ECS, OBS, RDS, VPC, or other Huawei Cloud services.
  • Search by Chinese, English, or mixed-language queries such as service names, abbreviations, and synonyms.
  • Browse Huawei Cloud skill categories before choosing a tool to install.
  • Inspect a skill’s full SKILL.md to confirm prerequisites, workflow, and behavior.
  • Install the matched skill using the GitCode default flow, Openclaw Skills-compatible npx clawhub install, or the GitHub fallback.

How Huawei Cloud Skills Finder Works

  1. Parse the user’s intent and infer the target Huawei Cloud service, keyword, and optional category filter.
  2. Verify prerequisites: Python 3.6+ must be available, and network access to GitCode and GitHub must work.
  3. Run scripts/search-skills.py to query the skill index and cn-en-map data; do not read the JSON index directly.
  4. Expand Chinese and English synonyms, score matches by name, trigger, description, and service, then sort the best results first.
  5. If the result needs confirmation, fetch the matched skill’s raw SKILL.md from GitHub and inspect its documentation.
  6. Install the selected skill with npx skills add from GitCode, npx clawhub install, or the GitHub fallback, then hand off execution to the installed skill.

Huawei Cloud Skills Finder Setup

Openclaw Skills does not require a local package install for discovery, but it does require Python and outbound network access.

  1. Verify Python 3.6+:
python --version
# or
python3 --version
  1. Install Python 3 if needed:
# macOS
brew install python3

# Ubuntu/Debian
sudo apt-get install python3
  1. Confirm connectivity to the upstream sources:
curl -I https://gitcode.com
curl -I https://raw.githubusercontent.com
  1. Search for a skill:
python scripts/search-skills.py -k "ECS"
python scripts/search-skills.py -k "OBS" -c "storage"
python scripts/search-skills.py -c "network"
  1. Install the matched skill by exact name:
npx skills add https://gitcode.com/huaweicloud/huaweicloud-skills.git#master --skill <skill-name> -y
npx clawhub install <skill-name> -y
npx skills add huaweicloud/huaweicloud-skills --skill <skill-name> -y

Huawei Cloud Skills Finder Data Schema & Taxonomy

Openclaw Skills uses an in-memory, index-driven schema with no persistent cache.

Layer Artifact Key Fields Purpose
Index source skills-index/index.json via GitCode API v5 name, description, triggers, service, category Primary searchable catalog
Mapping source skills-index/cn-en-map.json via GitCode API v5 CN↔EN synonyms, abbreviations, service aliases Query expansion and language normalization
Detail source Raw SKILL.md from raw.githubusercontent.com Frontmatter, prerequisites, workflow, install steps, notes Skill validation and execution guidance
Search output CLI result set from scripts/search-skills.py Matched keywords, score, sorted candidates User-facing decision support

Scoring heuristic used by the search script:

  • Name match: +10
  • Trigger match: +8
  • Description match: +5
  • Service match: +3

Metadata taxonomy:

  • Category: broad domain grouping such as computing, storage, network, or monitoring
  • Service: Huawei Cloud product code or name such as ECS, OBS, RDS, or VPC
  • Triggers: natural-language phrases that map to user intent
  • Description: human-readable summary used for relevance ranking
  • Name: exact skill identifier used for installation

Huawei Cloud Skills Finder Advanced Features

  • Bilingual CN↔EN keyword expansion through cn-en-map.json for higher recall in mixed-language searches.
  • Weighted relevance scoring across name, triggers, description, and service fields for more accurate ranking.
  • Category-aware filtering to narrow large Huawei Cloud catalogs without manual browsing.
  • On-demand raw SKILL.md retrieval from GitHub for pre-install validation and deeper context.
  • Multiple install paths: GitCode default, npx clawhub install for Openclaw Skills-compatible workflows, and GitHub fallback.
  • Progressive fallback search strategy when no results are returned: translate, broaden, remove filters, and retry with synonyms.
  • Read-only design with fresh index fetches on every run, so there is no cache to manage.
  • Cross-platform CLI support through a single Python script that works in Bash and PowerShell.

SKILL.md


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