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huaweicloud/huaweicloud-skills190 installs

huawei-cloud-agentorchard-find-skills

Search, discover, browse and install AI Gallery Agent skills via natural language. Triggers include: "AI Gallery", "AI Gallery有什么skill", "有什么skill", "AI Gallery相关skill", "AI Gallery agent skill 市场", "AI Gallery skill类目", "skill 市场", "搜索AI Gallery skill", "安装skill", "订阅skill", "有没有XX skill", "有没有XX的能力", "帮我找 XX skill", "帮我找一个能XX的工具", "我想扩展功能", "介绍 XX Skill 内容", "XX Skill 具体做什么", "explore AI Gallery skills", "show AI Gallery skill categories", "does an AI Gallery skill exist for...", "which AI Gallery skills exist", "search skill", "find skill".

How do I install this agent skill?

npx skills add https://github.com/huaweicloud/huaweicloud-skills --skill huawei-cloud-agentorchard-find-skills
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is safe and provides a utility to search for AI Gallery agent skills using a public Huawei Cloud API. It uses a local Python script to fetch data from official vendor domains.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

Overview

This skill enables the Agent to efficiently search, discover, and install skills from AI Gallery. Simply input natural language; the Agent automatically understands intent and executes searches, returning results in natural language.

Scenarios

This skill enables the Agent to:

  • Search skills — Find skills by keyword
  • View skill details — Jump to AI Gallery detail page for full documentation
  • Subscribe to skills — Complete skill installation via AI Gallery subscription page

Usage Examples

  • "帮我找一个图像分类的 skill"
  • "AI Gallery 有哪些 NLP 相关的skill?"
  • "有没有数据预处理的 skill?"
  • "浏览所有可用的 AI Gallery skill"
  • "找一个文本生成的 skill"

Prerequisites

  • Agent runtime requires Python 3.6+ (script execution environment)
  • Network access to AI Gallery API (devdata.huaweicloud.com)
  • No authentication required — the API is public and read-only

Workflow

Step 1: Execute Search Script

Based on user input, run the search script (execute only once):

PYTHONIOENCODING=utf-8 python scripts/search_skills.py -k "<user input>"

[!IMPORTANT] Agent must follow these rules:

  1. Execute only once — No repeated runs, no retries
  2. Output script results directly — No additional explanation, intermediate messages, or summaries
  3. No extra operations — Show exactly what the script outputs
  4. Use UTF-8 encoding — Must set PYTHONIOENCODING=utf-8 when running the script
  5. No direct API calls — Must use the script; do not bypass it to call the API directly

The script automatically handles all scenarios:

User Input TypeScript Output
Browse intent (e.g., "有什么skill")Hot skills + guidance
Search intent (e.g., "银行")Matching skill list
No results (e.g., gibberish)Guidance

The Agent only needs to display the script output directly to the user, without adding any extra operations.

Step 2: View Details & Subscribe (Optional)

After the user selects a skill, guide them to visit the detail page and subscribe.

Rules:

  • Only show the detail page URL when a specific show_id is available from the search results
  • Format: 详情页:https://pangu.huaweicloud.com/gallery/asset-detail.html?id={show_id}
  • Do NOT show URL templates or placeholder formats like ?id={show_id} to the user

The user clicks the "Subscribe" button on the detail page to complete installation.

Core Commands

CommandPurpose
PYTHONIOENCODING=utf-8 python scripts/search_skills.py -k "<keyword>"Search skills by keyword

Parameter Confirmation

ParameterRequiredDescriptionExample
-k, --keywordNoSearch keyword, supports space/comma/semicolon separated-k "银行"
--api-baseNoAI Gallery API base URL (has default)--api-base "https://..."

Reference Documents

  • references/cli-installation-guide.md — Environment setup and prerequisites
  • references/iam-policies.md — IAM policy notes (public API, no credentials needed)
  • references/verification-method.md — Functional verification methods
  • references/acceptance-criteria.md — Acceptance criteria and checklist
  • references/dataflow-diagram.md — Data flow diagram

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

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