pricing-strategy

pricing-strategy Financial Pricing Diagnostic Assistant

Quick Start

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Overview

The Financial Pricing Diagnostic Assistant is used to answer "how should pricing be set so we don't lose money," conversion rates, growth marketing, and copywriting. It is suitable for marketing, operations, product, and sales to invoke after clarifying business goals, content materials, or analysis targets. It will combine inputs such as pricing and package content, pasted pricing page copy, package tables, price explanations, discount mechanisms, customer objections, or competitor excerpts, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• The user raises questions such as "how should pricing be set so we don't lose money," and needs to quickly break down goals, determine priorities, and form executable results
• Marketing, operations, product, and sales need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Financial Pricing Diagnostic Assistant
• The user has already prepared pricing goals (for example, improving understanding, reducing package confusion, preparing for price testing, promoting upgrades, or explaining value.), target customer segments (supplement customer size, budget sensitivity, purchasing roles, usage scenarios, procurement processes, and decision conditions.), pricing page links (fill in publicly accessible pricing pages, quote pages, upgrade pages, product pages, or product package links.), and hopes to organize them into executable analysis or optimization results
• The user needs to turn materials related to the Financial Pricing Diagnostic 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 '{"goal":"定价目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	For example, improving understanding, reducing package confusion, preparing for price testing, promoting upgrades, or explaining value
audience	string	No	-	Supplement customer size, budget sensitivity, purchasing roles, usage scenarios, procurement processes, and decision conditions
materialUrl	string	No	-	Fill in publicly accessible pricing pages, quote pages, upgrade pages, product pages, or product package links; a full accessible URL must be provided
reviewDepth	string	No	标准诊断	Choose quick checkup, standard diagnosis, or in-depth package strategy analysis; optional values:快速体检、标准诊断、深度改稿
materialFile	string	No	-	Supports pricing materials such as docx, pdf, md, txt, suitable for submitting package plans, quotes, sales materials, or page drafts
materialText	string	No	-	Paste pricing page copy, package tables, price explanations, discount mechanisms, customer objections, or competitor excerpts
targetPlatform	string	No	-	For example, official website pricing pages, sales quotes, in-app upgrade pages, e-commerce product pages, checkout pages, or renewal pages
brandRequirements	string	No	-	Supplement brand tone, discount policy, pricing commitment boundaries, compliance reminders, and terms that must be retained

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

Parameter Value Reference

This skill has no categorical parameters that require additional lookup.

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters contain a link field, please 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":"定价目标"}'

Equivalent --params JSON：

{
  "goal": "定价目标"
}

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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: core results organized around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the pricing goals (for example, improving understanding, reducing package confusion, preparing for price testing, promoting upgrades, or explaining value.), target customer segments (supplement customer size, budget sensitivity, purchasing role, usage scenarios, procurement process, and decision conditions.), and pricing page link (fill in a publicly accessible pricing page, quote page, upgrade page, product page, or product package 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 questions about the "Financial Pricing 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 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