
Alicloud Ai Content Aicontent
- 268 installs
- 396 repo stars
- Updated July 18, 2026
- cinience/alicloud-skills
alicloud-ai-content-aicontent is a Claude Code skill that generates marketing copy, product descriptions, blog drafts, and localized content through Alibaba Cloud AI Content APIs for developers integrating automated cont
About
alicloud-ai-content-aicontent is a Claude Code integration skill for Alibaba Cloud AI Content services. It helps developers generate marketing copy, product descriptions, blog drafts, and localized content by calling Alibaba Cloud APIs from within CMS workflows or automated content pipelines. The skill fits backend and integration scenarios where copy is produced programmatically rather than manually drafted in an editor. Developers reach for it when building multilingual storefronts, catalog enrichment jobs, or editorial automation that must run inside Alibaba Cloud infrastructure. Because it targets API-driven generation, outputs are structured for pipeline ingestion—ready to store in databases, publish through headless CMS hooks, or pass to localization review steps.
- Structured long- and short-form generation
- Tone, locale, and brand voice controls
- Batch and template-driven outputs
- CMS and workflow hookup examples
- Quota, retry, and moderation handling
Alicloud Ai Content Aicontent by the numbers
- 268 all-time installs (skills.sh)
- Ranked #539 of 1,335 Generative Media 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-content-aicontentAdd your badge
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| Installs | 268 |
|---|---|
| repo stars | ★ 396 |
| Last updated | July 18, 2026 |
| Repository | cinience/alicloud-skills ↗ |
How do you integrate Alibaba Cloud AI content APIs?
Generate marketing copy, product descriptions, blog drafts, and localized content via Alibaba Cloud AI Content APIs inside CMS or content pipelines.
Who is it for?
Developers building on Alibaba Cloud who need programmatic copy generation inside CMS or content automation pipelines.
Skip if: Teams outside Alibaba Cloud ecosystems or those needing hand-crafted SEO article workflows should use platform-neutral content skills instead.
When should I use this skill?
User asks to generate or localize marketing copy, product descriptions, or blog drafts via Alibaba Cloud AI Content APIs.
What you get
API-generated marketing copy, product descriptions, blog drafts, and localized content blocks ready for CMS or pipeline storage.
- generated marketing copy
- localized content blocks
Files
Category: service
AIContent
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for AIContent.
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:
AiContent - Default API version:
20240611 - 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.pyOptional 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-content-aicontent/
Validation
mkdir -p output/alicloud-ai-content-aicontent
for f in skills/ai/content/alicloud-ai-content-aicontent/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alicloud-ai-content-aicontent/validate.txtPass criteria: command exits 0 and output/alicloud-ai-content-aicontent/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/alicloud-ai-content-aicontent/. - 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, optionalALICLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
interface:
display_name: "Alibaba Cloud AI Content Aicontent"
short_description: "AIContent generation and policy workflows"
default_prompt: "Use $alicloud-ai-content-aicontent to complete this ai/content task on Alibaba Cloud."
Sources
- OpenAPI product page:
https://api.aliyun.com/product/AiContent - API list (metadata):
https://api.aliyun.com/meta/v1/products/AiContent/versions/20240611/api-docs.json - API definition (single API):
https://api.aliyun.com/meta/v1/products/AiContent/versions/20240611/apis/{ApiName}/api.json
#!/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 = "AiContent"
DEFAULT_VERSION = "20240611"
OUTPUT_DIR = pathlib.Path("output/alicloud-ai-content-aicontent")
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()
Related skills
FAQ
What content types does alicloud-ai-content-aicontent generate?
alicloud-ai-content-aicontent generates marketing copy, product descriptions, blog drafts, and localized content through Alibaba Cloud AI Content APIs, structured for ingestion into CMS systems or automated pipelines.
Where does alicloud-ai-content-aicontent run in a stack?
alicloud-ai-content-aicontent is designed for backend and CMS integration points on Alibaba Cloud. Developers invoke it when copy must be created programmatically inside content pipelines rather than in a standalone editor.