course-outline-market-positioning

course-outline-market-positioning business diagnostic assistant

Quick Start

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Overview

The business diagnostic assistant is used to answer "how should this be done," course outlines, positioning, and knowledge paid content. It is suitable for operations, marketing, education and training, and content media to call after clarifying business goals, content materials, or analysis targets. It will combine inputs such as course outline drafts, pasted course names, module directories, selling points, class hour arrangements, and delivery formats, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• The user asks questions like "how should this be done" and needs to quickly break down goals, determine priorities, and form executable results
• Operations, marketing, education and training, and content media need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnostic assistant
• The user has already prepared positioning priorities (choose the direction that needs the most priority handling for this course outline's market positioning.), uploaded course materials (upload course outlines, sales page drafts, competitor records, or student research.), and course outline drafts (paste course names, module directories, selling points, class hour arrangements, and delivery formats.), and hopes to organize them into executable analysis or optimization results
• The user needs to turn materials related to the business diagnostic assistant into clear conclusions, priorities, and next-step actions

How to Call

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"positioningFocus":"人群定位"}'

Parameter Description

Parameter	Type	Required	Default	Description
positioningFocus	string	No	人群定位	Choose the direction that needs the most priority handling for this course outline's market positioning; optional values:人群定位、卖点差异、课程结构、转化表达
courseOutlineFile	string	No	-	Upload course outlines, sales page drafts, competitor records, or student research
courseOutlineText	string	No	-	Paste course names, module directories, selling points, class hour arrangements, and delivery formats
courseBenchmarkLink	string	No	-	Enter publicly accessible competitor course pages, enrollment pages, or introduction pages; a complete accessible URL is required
competitorCourseNotes	string	No	-	Supplement competitor prices, promises, modules, reviews, conversion selling points, and prohibited expressions
learnerPersonaContext	string	No	-	Explain student background, learning motivation, budget, industry, pain points, and decision concerns

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional table lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain 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 '{"positioningFocus":"人群定位"}'

Equivalent --params JSON：

{
  "positioningFocus": "人群定位"
}

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 positioning focus (choose the direction in this course outline's market positioning that most needs priority handling.), uploaded course materials (upload the course outline, sales page draft, competitor records, or student research.), and course outline draft (paste the course name, module list, selling points, class hour arrangement, and delivery format.) to extract key context and bases for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can be further developed.

Suggestions for Using the Results

• First determine whether the output answers the user's core question about the "Business 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 source materials before running.

Preparation Before Running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default