ai-paywall-upgrade-cro

ai-paywall-upgrade-cro Paywall Optimization Assistant

Overview

The paywall optimization assistant is used to answer “Can the paywall convert?”, growth experiments, conversion optimization, and data decision-making. It is suitable for marketing, product, operations, and software to call after clarifying business goals, content materials, or analysis objects. It will combine pages, processes or experiment materials, pasted page copy, process descriptions, experiment ideas, conversion goals, user feedback or friction clues, and other inputs, organize key context, and output upgrade friction diagnoses, benefit expression rewrites, and experiment suggestions, making it easy to continue execution, review, or delivery. Capability positioning supplement: paywall optimization is suitable for subscription, course, and content product scenarios.

When to Use

Applicable Scenarios

Users ask questions such as “Can the paywall convert?”, need to quickly break down goals, determine priorities, and form executable results
Marketing, product, operations, and software need to generate upgrade friction diagnoses, benefit expression rewrites, and experiment suggestions around the paywall optimization assistant
Users have already prepared conversion goals (explain the registration, activation, upgrade, retention, payment, or experiment metrics to optimize.), target users (explain user stage, segment, traffic source, device, or usage scenario.), page or process links (fill in publicly accessible landing pages, registration pages, paywalls, processes, or reference links.), and hope to organize them into executable analysis or optimization results
Users need to turn paywall optimization assistant-related materials into clear conclusions, priorities, and next 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 '{"goal":"转化目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
`goal`	string	No	-	Explain the registration, activation, upgrade, retention, payment, or experiment metrics to optimize
`audience`	string	No	-	Explain user stage, segment, traffic source, device, or usage scenario
`materialUrl`	string	No	-	Fill in publicly accessible landing pages, registration pages, paywalls, processes, or reference links; a complete accessible URL must be provided
`materialFile`	string	No	-	Upload page screenshots, conversion data, user feedback, experiment plans, or product materials
`materialText`	string	No	-	Paste page copy, process descriptions, experiment ideas, conversion goals, user feedback, or friction clues
`brandRequirements`	string	No	-	Supplement sample size, metric definitions, brand restrictions, technical constraints, unchangeable items, or launch review priorities

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 directly accepts JSON parameters; if the parameters include link fields, please provide complete, accessible URLs.

Example Request

The following example parameters can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"转化目标"}'

Equivalent --params JSON：

{
  "goal": "转化目标"
}

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

Upgrade friction diagnosis, entitlement expression rewrite, experiment recommendations: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
Input material interpretation: combine the conversion goal (specify the registration, activation, upgrade, retention, payment, or experiment metrics to optimize.), target users (specify the user stage, segment, traffic source, device, or usage scenario.), page or flow link (fill in a publicly accessible landing page, registration page, paywall, flow, or reference link.) to extract key context and the basis for judgment.
Next steps: provide priorities, execution recommendations, or a content framework that can be further processed.

Suggestions for using the results

First determine whether the output answers the user's core question about the "Paywall Optimization Assistant".
Then check whether the results cover upgrade friction diagnosis, entitlement expression rewrite, experiment recommendations, and whether clear next steps are provided.
If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or original 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