ai-signup

ai-signup Signup Conversion Diagnostic Assistant

Overview

The Signup Conversion Diagnostic Assistant is used to answer "Is the signup flow causing drop-off?", growth experiments, conversion optimization, and data decisions. It is suitable for marketing, product, operations, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as pages, flows, or experiment materials, pasted page copy, flow descriptions, experiment ideas, conversion goals, user feedback, or friction clues. It organizes key context and outputs conversion issue priorities, reusable copy revisions, and experiment or follow-up action checklists for further execution, review, or delivery. Capability positioning supplement: skills.sh trending signals show that signup has user demand; the platform displays it as a growth_cro_sales business assistant catalog, outputting reviewable diagnostics, recommendations, or production-ready packages.

When to Use

Applicable Scenarios

Users raise questions like "Is the signup flow causing drop-off?" and need to quickly break down goals, determine priorities, and form actionable results
Marketing, product, operations, and software need to generate conversion issue priorities, reusable copy revisions, and experiment or follow-up action checklists around the Signup Conversion Diagnostic Assistant
Users have already prepared conversion goals (explain the signup, activation, upgrade, retention, payment, or experiment metrics to optimize.), target users (explain user stage, segment, traffic source, device, or usage scenario.), and page or flow links (provide publicly accessible landing pages, signup pages, paywalls, flows, or reference links.), and want to organize them into actionable analysis or optimization results
Users need to turn materials related to the Signup Conversion Diagnostic Assistant into clear conclusions, priorities, and next steps

How to Invoke

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

Command Example

Basic Invocation

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

Invocation 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 signup, 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	-	Provide publicly accessible landing pages, signup pages, paywalls, flows, or reference links; complete accessible URLs are required
`materialFile`	string	No	-	Upload page screenshots, conversion data, user feedback, experiment plans, or product materials
`materialText`	string	No	-	Paste page copy, flow 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

The current skill directly accepts JSON parameters; if the parameters contain 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 '{"goal":"转化目标"}'

Equivalent --params JSON：

{
  "goal": "转化目标"
}

Example response

{
  "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

Conversion issue priorities, copy-ready revisions, experiments, or follow-up action lists: organize the core results around user goals into something that can be directly read, reviewed, or delivered.
Interpretation of input materials: extract key context and judgment basis by combining the conversion goal (describe the registration, activation, upgrade, retention, payment, or experiment metrics to be optimized.), target users (describe the user stage, audience segments, traffic sources, devices, or usage scenarios.), and page or flow links (provide publicly accessible landing pages, registration pages, paywalls, flows, or reference links.).
Next steps: provide priorities, execution suggestions, 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 "Registration Conversion Diagnostic Assistant".
Then check whether the results cover conversion issue priorities, copy-ready revisions, experiments, or follow-up action lists, and whether they provide clear next steps.
If the input materials are limited, 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