alicloud-ai-search-opensearch

Category: provider

cinience/alicloud-skills|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGoose

Installation Guide

Select your AI agent

How to use alicloud-ai-search-opensearch on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add alicloud-ai-search-opensearch

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-search-opensearch

Fetches alicloud-ai-search-opensearch from cinience/alicloud-skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/alicloud-ai-search-opensearch

Restart Cursor to activate alicloud-ai-search-opensearch. Access via /alicloud-ai-search-opensearch in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Prerequisites

Install SDK (recommended in a venv to avoid PEP 668 limits):

python3 -m venv .venv . .venv/bin/activate python -m pip install alibabacloud-ha3engine

Provide connection config via environment variables:

OPENSEARCH_ENDPOINT (API domain)
OPENSEARCH_INSTANCE_ID
OPENSEARCH_USERNAME
OPENSEARCH_PASSWORD
OPENSEARCH_DATASOURCE (data source name)
OPENSEARCH_PK_FIELD (primary key field name)

Quickstart (push + search)

import os from alibabacloud_ha3engine import models, client from Tea.exceptions import TeaException, RetryError cfg = models.Config( endpoint=os.getenv("OPENSEARCH_ENDPOINT"), instance_id=os.getenv("OPENSEARCH_INSTANCE_ID"), protocol="http", access_user_name=os.getenv("OPENSEARCH_USERNAME"), access_pass_word=os.getenv("OPENSEARCH_PASSWORD"), ) ha3 = client.Client(cfg) def push_docs(): data_source = os.getenv("OPENSEARCH_DATASOURCE") pk_field = os.getenv("OPENSEARCH_PK_FIELD", "id") documents = [ {"fields": {"id": 1, "title": "hello", "content": "world"}, "cmd": "add"}, {"fields": {"id": 2, "title": "faq", "content": "vector search"}, "cmd": "add"}, ] req = models.PushDocumentsRequestModel({}, documents) return ha3.push_documents(data_source, pk_field, req) def search_ha(): # HA query example. Replace cluster/table names as needed. query_str = ( "config=hit:5,format:json,qrs_chain:search" "&&query=title:hello" "&&cluster=general" ) ha_query = models.SearchQuery(query=query_str) req = models.SearchRequestModel({}, ha_query) return ha3.search(req) try: print(push_docs().body) print(search_ha()) except (TeaException, RetryError) as e: print(e)

Script quickstart

python skills/ai/search/alicloud-ai-search-opensearch/scripts/quickstart.py

Environment variables:

OPENSEARCH_ENDPOINT

OPENSEARCH_INSTANCE_ID

OPENSEARCH_USERNAME

OPENSEARCH_PASSWORD

OPENSEARCH_DATASOURCE

OPENSEARCH_PK_FIELD (optional, default id)

OPENSEARCH_CLUSTER (optional, default general)

Optional args: --cluster, --hit, --query.

from alibabacloud_ha3engine import models sql = "select * from <indexTableName>&&kvpair=trace:INFO;formatType:json" sql_query = models.SearchQuery(sql=sql) req = models.SearchRequestModel({}, sql_query) resp = ha3.search(req) print(resp)

Validation

mkdir -p output/alicloud-ai-search-opensearch for f in skills/ai/search/alicloud-ai-search-opensearch/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-ai-search-opensearch/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-search-opensearch/validate.txt is generated.

alicloud-ai-search-opensearch

Installation Guide

How to use alicloud-ai-search-opensearch on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

Task Automation & Efficiency

Knowledge Enhancement

Quality Improvement

Install Skill

OpenSearch Vector Search Edition

Prerequisites

Quickstart (push + search)

Script quickstart

SQL-style search

Notes for Claude Code/Codex

Error handling

Validation

Output And Evidence

Workflow

References

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

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cn-ecommerce-search

web-search

Reviews

Discussion