Alicloud Ai Contactcenter Ai

Name: Alicloud Ai Contactcenter Ai
Author: cinience

cinience/alicloud-skills

259 installs
396 repo stars
Updated July 18, 2026
cinience/alicloud-skills

alicloud-ai-contactcenter-ai is an agent skill that manages Alibaba Cloud Contact Center AI via OpenAPI and SDK calls for developers embedding smart routing, intent detection, and omnichannel support bots in agent builds

About

alicloud-ai-contactcenter-ai in cinience/alicloud-skills provides an OpenAPI-driven interface for Alibaba Cloud Contact Center AI (ContactCenterAI) lifecycle management inside Claude Code agent workflows. Agents confirm region and resource identifiers, discover APIs through metadata endpoints, then call official SDKs or OpenAPI Explorer for list, create, update, and status operations. Credential priority follows ALIBABACLOUD_ACCESS_KEY_ID, ALIBABACLOUD_ACCESS_KEY_SECRET, and optional ALIBABACLOUD_REGION_ID environment variables, then ~/.alibabacloud/credentials. High-frequency patterns use List and Describe APIs for inventory, Create and Update APIs for configuration changes, and Get or Query APIs for troubleshooting failed calls. Artifacts and response summaries save under output/alicloud-ai-contactcenter-ai/ for reproducibility. Developers reach for this skill when wiring contact-center bots with intent detection, sentiment-aware escalation, or omnichannel routing into agent-built support systems on Alibaba Cloud. Triggers include Contact Center AI configuration, status queries, or failed ContactCenterAI API diagnostics.

Contact Center AI API integration
Intent and sentiment routing
Omnichannel support automation
Structured agent tool surface
Cuts custom NLP glue code

Alicloud Ai Contactcenter Ai by the numbers

259 all-time installs (skills.sh)
Ranked #2,512 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
Data as of Aug 5, 2026 (Skillselion catalog sync)

npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-contactcenter-ai

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Installs	259
repo stars	★ 396
Last updated	July 18, 2026
Repository	cinience/alicloud-skills ↗

How do you manage Alibaba Contact Center AI?

Embed Alibaba Contact Center AI for smart routing, intent detection, sentiment-aware escalation, and omnichannel support bots inside Claude Code agent builds.

Who is it for?

Developers integrating Alibaba Cloud Contact Center AI bots with intent routing and omnichannel support into Claude Code or Codex agent workflows.

Skip if: Non-Alibaba contact center platforms, teams without Alibaba Cloud credentials, or UI-only support desk setup without OpenAPI automation.

When should I use this skill?

User configures Alibaba Contact Center AI, queries ContactCenterAI API status, or troubleshoots failed contact-center resource operations.

What you get

Contact Center AI API response logs, configuration updates, and troubleshooting artifacts in output/alicloud-ai-contactcenter-ai/.

API response logs
Configuration update confirmations
Troubleshooting evidence files

By the numbers

Artifacts saved under output/alicloud-ai-contactcenter-ai/ per skill output policy
Documents 3 API operation patterns: inventory, mutation, and status query

Files

SKILL.mdMarkdownGitHub ↗

Category: service

Contact Center AI

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Contact Center AI.

Workflow

1) Confirm region, resource identifiers, and desired action. 2) Discover API list and required parameters (see references). 3) Call API with SDK or OpenAPI Explorer. 4) Verify results with describe/list APIs.

AccessKey priority (must follow)

1) Environment variables: ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET / ALICLOUD_REGION_ID Region policy: ALICLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. 2) Shared config file: ~/.alibabacloud/credentials

API discovery

Product code: ContactCenterAI
Default API version: 2024-06-03
Use OpenAPI metadata endpoints to list APIs and get schemas (see references).

High-frequency operation patterns

1) Inventory/list: prefer List* / Describe* APIs to get current resources. 2) Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations. 3) Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

python scripts/list_openapi_meta_apis.py

Optional overrides:

python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>

The script writes API inventory artifacts under the skill output directory.

Output policy

If you need to save responses or generated artifacts, write them under: output/alicloud-ai-contactcenter-ai/

Validation

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

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

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/alicloud-ai-contactcenter-ai/.
Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

Configure least-privilege Alibaba Cloud credentials before execution.
Prefer environment variables: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.
If region is unclear, ask the user before running mutating operations.

References

Sources: references/sources.md

interface:
  display_name: "Alibaba Cloud AI Contactcenter AI"
  short_description: "ContactCenterAI agent workflows"
  default_prompt: "Use $alicloud-ai-contactcenter-ai to complete this ai/service task on Alibaba Cloud."

#!/usr/bin/env python3
"""Fetch OpenAPI metadata API list for one product/version and save to output/.

Env:
- OPENAPI_META_TIMEOUT (seconds, default: 20)
"""

from __future__ import annotations

import argparse
import json
import os
import pathlib
import urllib.request

DEFAULT_PRODUCT_CODE = "ContactCenterAI"
DEFAULT_VERSION = "2024-06-03"
OUTPUT_DIR = pathlib.Path("output/alicloud-ai-contactcenter-ai")


def fetch_json(url: str, timeout: int) -> dict:
    req = urllib.request.Request(url, headers={"User-Agent": "codex-skill"})
    with urllib.request.urlopen(req, timeout=timeout) as resp:
        return json.loads(resp.read().decode("utf-8"))


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--product-code", default=DEFAULT_PRODUCT_CODE)
    parser.add_argument("--version", default=DEFAULT_VERSION)
    parser.add_argument("--output-dir", default=str(OUTPUT_DIR))
    args = parser.parse_args()

    timeout = int(os.getenv("OPENAPI_META_TIMEOUT", "20"))
    output_dir = pathlib.Path(args.output_dir)
    output_dir.mkdir(parents=True, exist_ok=True)

    url = (
        f"https://api.aliyun.com/meta/v1/products/{args.product_code}"
        f"/versions/{args.version}/api-docs.json"
    )
    payload = fetch_json(url, timeout)

    raw_apis = payload.get("apis", {})
    if isinstance(raw_apis, dict):
        api_names = sorted(raw_apis.keys())
    elif isinstance(raw_apis, list):
        names = []
        for item in raw_apis:
            if isinstance(item, dict):
                name = item.get("name") or item.get("apiName")
                if name:
                    names.append(name)
            elif isinstance(item, str):
                names.append(item)
        api_names = sorted(set(names))
    else:
        api_names = []

    json_file = output_dir / f"{args.product_code}_{args.version}_api_docs.json"
    md_file = output_dir / f"{args.product_code}_{args.version}_api_list.md"

    json_file.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
    md_lines = [
        f"# {args.product_code} {args.version} API List",
        "",
        f"- Source: {url}",
        f"- API count: {len(api_names)}",
        "",
    ]
    md_lines.extend([f"- `{name}`" for name in api_names])
    md_file.write_text("\n".join(md_lines) + "\n", encoding="utf-8")

    print(f"Saved: {json_file}")
    print(f"Saved: {md_file}")


if __name__ == "__main__":
    main()

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How it compares

Pick alicloud-ai-contactcenter-ai for Alibaba Contact Center AI OpenAPI automation; pick generic alicloud entry skills when the target Alibaba product is not yet identified.

FAQ

What cloud service does alicloud-ai-contactcenter-ai manage?

alicloud-ai-contactcenter-ai manages Alibaba Cloud Contact Center AI (ContactCenterAI) resources through OpenAPI and SDK calls for configuration, status queries, and troubleshooting.

Where does alicloud-ai-contactcenter-ai store output artifacts?

alicloud-ai-contactcenter-ai writes API response summaries and diagnostics under output/alicloud-ai-contactcenter-ai/ with region and resource identifiers for reproducibility.

Which credentials does alicloud-ai-contactcenter-ai require?

alicloud-ai-contactcenter-ai prioritizes ALIBABACLOUD_ACCESS_KEY_ID and ALIBABACLOUD_ACCESS_KEY_SECRET environment variables, then falls back to ~/.alibabacloud/credentials with optional ALIBABACLOUD_REGION_ID.

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