Overview
The Conversion Experiment Assistant is used to answer "is this change worth testing," conversion rate, growth marketing, and copywriting. It is suitable for marketing, operations, product, and sales to call after clarifying business goals, content materials, or analysis objects. It combines B2B landing page copy, pasted above-the-fold, selling points, customer evidence, FAQ, form instructions, and CTA; retains page section... and other inputs, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, facilitating continued execution, review, or delivery.
When to Use
Applicable Scenarios
- The user raises questions like "is this change worth testing" and needs to quickly break down goals, judge priorities, and form executable results
- Marketing, operations, product, and sales need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Conversion Experiment Assistant
- The user has already prepared diagnostic depth (diagnostic depth), target buyer role (e.g., founder, marketing lead, sales lead, IT lead, procurement lead, or business lead.), conversion goal (e.g., book a demo, submit a form, download a whitepaper, contact sales, sign up for a trial, or register for an event.), and hopes to organize them into executable analysis or optimization results
- The user needs to turn materials related to the Conversion Experiment Assistant into clear conclusions, priorities, and next-step actions
How to Call
Call the AI Skills API directly through the exported Python runner:
Command Example
Basic Call
python3 scripts/run.py --params '{}'
Call with Common Parameters
python3 scripts/run.py --params '{"reviewDepth":"快速体检"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
reviewDepth |
string | No | 标准诊断 |
Diagnostic depth; optional values:快速体检、标准诊断、深度改稿 |
targetBuyer |
string | No | - | For example, founder, marketing lead, sales lead, IT lead, procurement lead, or business lead |
conversionGoal |
string | No | - | For example, book a demo, submit a form, download a whitepaper, contact sales, sign up for a trial, or register for an event |
landingPageUrl |
string | No | - | Fill in an official website page, product page, event page, or page preview link accessible without login; a complete accessible URL is required |
productContext |
string | No | - | Supplement product value, industry, cases, qualifications, pricing, differentiation, and promises that must not be exaggerated |
landingPageFile |
string | No | - | Supports page documents such as docx, pdf, md, txt, suitable for submitting wireframe copy, reviewed versions, or PRD drafts |
landingPageText |
string | No | - | Paste the above-the-fold, selling points, customer evidence, FAQ, form instructions, and CTA; retaining the page section order is more conducive to diagnosis |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
This skill currently has no categorical parameters that require additional lookup.
Supported Input Formats
This skill currently accepts JSON parameters directly; if a parameter contains a link field, pass a complete, accessible URL.
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 '{"reviewDepth":"快速体检"}'
Equivalent --params JSON:
{
"reviewDepth": "快速体检"
}
Example returned 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, recommended actions, 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 diagnostic depth (diagnostic depth), target buyer role (for example, founder, marketing lead, sales lead, IT lead, procurement lead, or business lead.), and conversion goal (for example, book a demo, submit a form, download a whitepaper, contact sales, sign up for a trial, or register for an event.) to distill 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 "Conversion Experiment Assistant".
- Then check whether the results cover the summary, diagnostic conclusions, recommended actions, 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: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault