Overview
The Visual Quality Diagnosis Assistant is used to answer "Is this image good enough to publish?", lesson plans, classroom activities, and training design. It is suitable for operations, marketing, education and training, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines lesson objectives and content, paste this lesson's topic, knowledge points, teaching objectives, class duration, and existing process. and other inputs, organizes key context, and outputs a summary, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- When users ask questions such as "Is this image good enough to publish?" and need to quickly break down goals, determine priorities, and form actionable results
- When operations, marketing, education and training, and content media need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the visual quality diagnosis assistant
- When users have already prepared design priorities (choose the direction that this lesson plan activity design assistant most needs to prioritize.), lesson objectives and content (paste this lesson's topic, knowledge points, teaching objectives, class duration, and existing process.), and class and learner information (explain age/grade, number of people, foundation, online/offline, equipment conditions, and classroom constraints.), and want to organize them into actionable analysis or optimization results
- When users need to turn materials related to the visual quality diagnosis assistant into clear conclusions, priorities, and next steps
How to Invoke
Call the AI Skills API directly through the exported Python runner:
Command Examples
Basic Invocation
python3 scripts/run.py --params '{}'
Invocation with Common Parameters
python3 scripts/run.py --params '{"lessonDesignFocus":"导入活动"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
lessonDesignFocus |
string | No | 导入活动 |
Choose the direction that this lesson plan activity design assistant most needs to prioritize; optional values:导入活动、互动练习、分层任务、课堂评价 |
lessonPlanGoalText |
string | No | - | Paste this lesson's topic, knowledge points, teaching objectives, class duration, and existing process |
classProfileContext |
string | No | - | Explain age/grade, number of people, foundation, online/offline, equipment conditions, and classroom constraints |
teachingResourceFile |
string | No | - | Upload lesson plans, courseware, textbook excerpts, questions, or activity materials |
curriculumStandardLink |
string | No | - | Fill in publicly accessible curriculum standards, textbook catalogs, course descriptions, or case links; a complete accessible URL is required |
activityConstraintNotes |
string | No | - | Supplement available tools, grouping methods, prohibited activities, homework requirements, and evaluation criteria |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
This skill currently has no categorical parameters that require an additional lookup table.
Supported Input Formats
This skill directly accepts JSON parameters; if the parameters include link fields, pass complete, accessible URLs.
Example Request
The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"lessonDesignFocus":"导入活动"}'
Equivalent --params JSON:
{
"lessonDesignFocus": "导入活动"
}
Example return result
{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combine the design focus (choose the direction that this lesson plan activity design assistant most needs to prioritize.), lesson objectives and content (paste this lesson's topic, knowledge points, teaching objectives, class duration, and existing process.), and class and student situation (explain age/grade, number of students, foundation, online or offline, equipment conditions, and classroom constraints.) to extract key context and bases for judgment.
- Next steps: provide priorities, execution suggestions, or a content framework that can continue to be developed.
Suggestions for using the results
- First determine whether the output answers the user's core question about the "Visual Quality Diagnostic Assistant."
- Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are provided.
- If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation before running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault