ai-sales-compensation

ai-sales-compensation Sales Compensation Diagnostic Assistant

Quick Start

More Skills

Overview

The Sales Compensation Diagnostic Assistant is used to answer "Is the commission plan fair," sales growth, customer research, and deal efficiency. It is suitable for sales, marketing, operations, and software to call after clarifying business goals, content materials, or analysis targets. It will combine inputs such as customer materials or communication records, pasted customer materials, communication records, email drafts, call summaries, objection information, or deal goals, organize key context, and output sales strategies, communication materials, and follow-up plans for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• The user raises questions like "Is the commission plan fair" and needs to quickly break down goals, determine priorities, and form actionable results
• Sales, marketing, operations, and software need to generate sales strategies, communication materials, and follow-up plans around the Sales Compensation Diagnostic Assistant
• The user has already prepared the advancement goal (explain the scripts, objection handling, qualification judgment, follow-up plan, or review goal desired for this session.), customer role (explain the customer role, industry, stage, decision chain, or communication target.), and customer or company links (fill in publicly accessible links to the customer company, product, competitors, or background materials.), and hopes to organize them into actionable analysis or optimization results
• The user needs to turn materials related to the Sales Compensation Diagnostic Assistant into clear conclusions, priorities, and next 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 '{"goal":"推进目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the scripts, objection handling, qualification judgment, follow-up plan, or review goal desired for this session
audience	string	No	-	Explain the customer role, industry, stage, decision chain, or communication target
materialUrl	string	No	-	Fill in publicly accessible links to the customer company, product, competitors, or background materials; a complete accessible URL must be provided
materialFile	string	No	-	Upload customer background, sales materials, meeting minutes, email records, or pipeline materials
materialText	string	No	-	Paste customer materials, communication records, email drafts, call summaries, objection information, or deal goals
brandRequirements	string	No	-	Supplement price boundaries, commitment limits, competitor information, risk points, prohibited expressions, or key points for manual review

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 tables.

Supported Input Formats

This skill directly accepts JSON parameters; 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 '{"goal":"推进目标"}'

Equivalent --params JSON：

{
  "goal": "推进目标"
}

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

• Sales strategy, communication materials, follow-up plan: organize the core results around user goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the advancement goal (explain the talking points, objection handling, qualification assessment, follow-up plan, or review objective you want to prepare this time.), customer role (explain the customer role, industry, stage, decision chain, or communication target.), customer or company link (fill in publicly accessible links to the customer company, product, competitor, or background information.) to extract key context and judgment basis.
• Next steps: provide priorities, execution suggestions, 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 "Sales Compensation Diagnostic Assistant".
• Then check whether the results cover the sales strategy, communication materials, and follow-up plan, and whether they provide clear next steps.
• If there is little input material, 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