ai-article Xiaohongshu Seeding Notes (Auto Image Matching)
Overview
The auto image-text assistant is used to answer "auto official account and seeding", image-text, writing, and image matching. It is suitable for content creators, operations, technical, and content media to call after clarifying business goals, content materials, or analysis objects. It combines inputs like the topic, article topic, keywords, or a one-sentence request, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables for easy execution, review, or handover.
When to Use
Applicable Scenarios
- Users raise questions like "auto official account and seeding" and need to quickly break down goals, determine key points, and form actionable results.
- Content creators, operations, technical, and content media need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the auto image-text assistant.
- Users have prepared tone, topic (article topic, keywords, or one-sentence request), target audience, and wish to organize them into actionable analysis or optimization results.
- Users need to convert materials related to the auto image-text assistant into clear conclusions, priorities, and next steps.
How to Call
Directly call the AI Skills API through the exported Python runner:
Command Examples
Call with Required Parameters
python3 scripts/run.py --params '{"topic":"Topic"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
tone | string | No | practical | Tone; optional values: practical (practical), story (story), expert (expert), lively (lively) |
topic | string | Yes | - | Article topic, keywords, or one-sentence request |
audience | string | No | - | Target audience |
keywords | string | No | - | Keywords |
platform | string | No | all | Publishing platform; optional values: all platforms (all), official account (wechat), Xiaohongshu (xhs), blog (blog), Zhihu (zhihu) |
wordCount | integer | No | 1600 | Word count |
imageCount | integer | No | 3 | Number of in-text images |
watermarkMode | string | No | off | Watermark; optional values: off (off), brand light watermark (brand), corner (corner), tiled (tiled), both (both) |
watermarkText | string | No | ai-skills.ai | Displayed after selecting a watermark, default is ai-skills.ai, can be replaced with brand name, site, or account |
brandRequirements | string | No | - | Brand requirements |
For complete machine-readable parameter structure, see references/form-schema.json.
Parameter Value Reference
The current skill has no categorical parameters that require additional lookup.
Supported Input Formats
The current skill directly accepts JSON parameters and does not involve parsing shared links.
Example Request
The following example parameters can be directly passed to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"topic":"Topic"}'
Equivalent --params JSON:
{
"topic": "Topic"
}
Example Response
{
"success": true,
"data": {
"mode": "async",
"status": "completed",
"resultEnvelope": {
"status": "completed",
"title": "Auto Image-Text Generated",
"summary": "Generated article body, in-text images, and multi-ratio covers.",
"items": [
{
"id": "article",
"type": "markdown",
"title": "Article Body",
"artifactIds": [
"ai-skills-auto-image-article.md"
]
}
],
"artifacts": [
{
"id": "ai-skills-auto-image-article.md",
"name": "ai-skills-auto-image-article.md",
"relativePath": "ai-skills-auto-image-article.md",
"mimeType": "text/markdown",
"url": "/api/skill-artifacts/job_demo/file/ai-skills-auto-image-article.md"
},
{
"id": "content-01.webp",
"name": "content-01.webp",
"relativePath": "content-01.webp",
"mimeType": "image/webp",
"url": "/api/skill-artifacts/job_demo/file/content-01.webp"
}
],
"presentation": {
"mode": "single"
}
},
"zipUrl": "/api/skill-artifacts/job_demo/archive"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Complete Chinese image-text article: includes title, body structure, paragraph content, and publishable Markdown document.
- Article images and cover materials: visual support for official accounts, blogs, or content platforms.
- Downloadable delivery package: convenient for passing the body text and images to editing, publishing, or archiving processes.
Suggestions for Using Results
- First check if the title, opening, and section structure are suitable for the target audience, then determine if the body is suitable for direct publishing.
- Images and covers enhance readability and shareability; before publishing, it is still recommended to make final selections based on brand style.
- If the user has specific requirements for keywords, audience, or platform, try to specify them clearly in the input.
Pre-run Preparation
AISKILLS_API_KEY: required, for authentication callsAISKILLS_TENANT_ID: defaultdefault