AI Salary Negotiation Coach Agent Skill — AI Pass API
AI Salary Negotiation Coach Agent Skill — AI Pass API
Skill for: Generating salary negotiation strategies, scripts, and coaching API: AI Pass Chat Completions Endpoint: https://aipass.one/apikey/v1/chat/completions
Overview
This skill enables AI agents to act as salary negotiation coaches. Given a user's employment situation, compensation targets, and negotiation context, it generates actionable strategies, word-for-word scripts, and psychological tactics.
Skill Definition
name: salary-negotiation-coach
description: Coaches users through salary negotiations with personalized scripts, strategies, and responses to common pushback.
version: 1.0.0
auth:
type: api_key
env: AIPASS_API_KEY
Implementation
import os
import requests
AIPASS_API_KEY = os.environ["AIPASS_API_KEY"]
BASE_URL = "https://aipass.one/apikey/v1"
def generate_negotiation_strategy(
job_title: str,
current_salary: str,
target_salary: str,
scenario: str,
context: str = "",
industry: str = ""
) -> dict:
"""
Generate a personalized salary negotiation strategy.
Args:
job_title: User's current or target job title
current_salary: Current compensation (with currency)
target_salary: Desired compensation target
scenario: One of: "new_offer", "raise_request", "promotion", "freelance_rate"
context: Additional context (competing offers, achievements, etc.)
industry: Industry/sector for market context
Returns:
dict with negotiation strategy and scripts
"""
scenario_descriptions = {
"new_offer": "negotiating a new job offer",
"raise_request": "requesting a salary raise at performance review",
"promotion": "negotiating terms for a promotion",
"freelance_rate": "negotiating freelance/consulting rates with a client"
}
scenario_text = scenario_descriptions.get(scenario, scenario)
system_prompt = """You are an expert salary negotiation coach with expertise in:
- Compensation psychology and anchoring techniques
- Industry-specific negotiation norms
- Handling common employer objections
- Win-win negotiation frameworks
Always provide practical, confidence-building advice with specific scripts."""
user_prompt = f"""Coach this person through salary negotiation:
Job Title: {job_title}
Industry: {industry or "Not specified"}
Current Compensation: {current_salary}
Target Compensation: {target_salary}
Scenario: {scenario_text}
Additional Context: {context or "None"}
Provide a complete negotiation playbook:
1. **Market Positioning** — Why their target is justified
2. **Opening Statement** — How to start (exact words)
3. **Full Negotiation Script** — With responses to common pushback:
- "That's above our budget range"
- "We don't have room to negotiate"
- "Let me check with HR/management"
4. **Key Tactics** — 3 psychological strategies to use
5. **Non-Salary Wins** — Alternative compensation to negotiate if salary is fixed
6. **Walk-Away Point** — When to walk away and how to do it gracefully"""
response = requests.post(
f"{BASE_URL}/chat/completions",
headers={
"Authorization": f"Bearer {AIPASS_API_KEY}",
"Content-Type": "application/json"
},
json={
"model": "gpt-5-mini",
"temperature": 1,
"max_tokens": 16000,
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
]
}
)
result = response.json()
strategy = result["choices"][0]["message"]["content"]
return {
"strategy": strategy,
"job_title": job_title,
"current_salary": current_salary,
"target_salary": target_salary,
"scenario": scenario,
"model": "gpt-5-mini"
}
def generate_counter_response(employer_objection: str, context: str = "") -> str:
"""
Generate a response to a specific employer objection during negotiation.
Args:
employer_objection: What the employer just said
context: Negotiation context
Returns:
Suggested response string
"""
response = requests.post(
f"{BASE_URL}/chat/completions",
headers={
"Authorization": f"Bearer {AIPASS_API_KEY}",
"Content-Type": "application/json"
},
json={
"model": "gpt-5-mini",
"temperature": 1,
"max_tokens": 4000,
"messages": [
{
"role": "system",
"content": "You are a salary negotiation expert. Generate confident, professional responses to employer objections. Keep responses concise and firm but collaborative."
},
{
"role": "user",
"content": f"Context: {context}\n\nEmployer just said: \"{employer_objection}\"\n\nGenerate 2-3 response options (word-for-word scripts) the candidate can use:"
}
]
}
)
return response.json()["choices"][0]["message"]["content"]
Usage Examples
# Set your API key
import os
os.environ["AIPASS_API_KEY"] = "$AIPASS_API_KEY"
# Generate full negotiation strategy
result = generate_negotiation_strategy(
job_title="Senior Product Manager",
current_salary="$95,000",
target_salary="$130,000",
scenario="new_offer",
context="I have a competing offer at $115k and 5 years of relevant experience",
industry="SaaS / Tech"
)
print(result["strategy"])
# Handle a specific objection
response = generate_counter_response(
employer_objection="We really can't go above $110,000 — that's our budget ceiling",
context="I'm negotiating for a PM role, target is $130k, they offered $110k"
)
print(response)
Agent Tool Definition (OpenAI-compatible)
{
"type": "function",
"function": {
"name": "salary_negotiation_coach",
"description": "Generates personalized salary negotiation strategies and scripts. Use when a user needs help negotiating salary, raises, or freelance rates.",
"parameters": {
"type": "object",
"properties": {
"job_title": {"type": "string", "description": "Job title being negotiated for"},
"current_salary": {"type": "string", "description": "Current compensation"},
"target_salary": {"type": "string", "description": "Desired compensation"},
"scenario": {
"type": "string",
"enum": ["new_offer", "raise_request", "promotion", "freelance_rate"]
},
"context": {"type": "string", "description": "Additional negotiation context"}
},
"required": ["job_title", "current_salary", "target_salary", "scenario"]
}
}
}
Get Started
- Sign up at aipass.one
- Go to Developer Dashboard → API Keys
- Set
AIPASS_API_KEYin your environment - Run the skill
Try the app: aipass.one/apps/salary-negotiator
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