curl --request PUT \
  --url https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "skills": [
    {
      "name": "Greeting",
      "weight": 15,
      "description": "Professional opening and introduction"
    },
    {
      "name": "Empathy",
      "weight": 20,
      "description": "Understanding and acknowledging customer concerns"
    },
    {
      "name": "Compliance",
      "weight": 25,
      "description": "Adherence to regulatory and company policies",
      "penalty_items": [
        {
          "name": "Skipped identity verification",
          "penalty_points": -10,
          "is_auto_fail": true
        }
      ]
    },
    {
      "name": "Resolution",
      "weight": 25,
      "description": "Effective problem solving and issue resolution"
    },
    {
      "name": "Sales",
      "weight": 15,
      "description": "Upselling and cross-selling opportunities"
    }
  ]
}
'

import requests

url = "https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills"

payload = { "skills": [
        {
            "name": "Greeting",
            "weight": 15,
            "description": "Professional opening and introduction"
        },
        {
            "name": "Empathy",
            "weight": 20,
            "description": "Understanding and acknowledging customer concerns"
        },
        {
            "name": "Compliance",
            "weight": 25,
            "description": "Adherence to regulatory and company policies",
            "penalty_items": [
                {
                    "name": "Skipped identity verification",
                    "penalty_points": -10,
                    "is_auto_fail": True
                }
            ]
        },
        {
            "name": "Resolution",
            "weight": 25,
            "description": "Effective problem solving and issue resolution"
        },
        {
            "name": "Sales",
            "weight": 15,
            "description": "Upselling and cross-selling opportunities"
        }
    ] }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.put(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    skills: [
      {
        name: 'Greeting',
        weight: 15,
        description: 'Professional opening and introduction'
      },
      {
        name: 'Empathy',
        weight: 20,
        description: 'Understanding and acknowledging customer concerns'
      },
      {
        name: 'Compliance',
        weight: 25,
        description: 'Adherence to regulatory and company policies',
        penalty_items: [
          {name: 'Skipped identity verification', penalty_points: -10, is_auto_fail: true}
        ]
      },
      {
        name: 'Resolution',
        weight: 25,
        description: 'Effective problem solving and issue resolution'
      },
      {
        name: 'Sales',
        weight: 15,
        description: 'Upselling and cross-selling opportunities'
      }
    ]
  })
};

fetch('https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'skills' => [
        [
                'name' => 'Greeting',
                'weight' => 15,
                'description' => 'Professional opening and introduction'
        ],
        [
                'name' => 'Empathy',
                'weight' => 20,
                'description' => 'Understanding and acknowledging customer concerns'
        ],
        [
                'name' => 'Compliance',
                'weight' => 25,
                'description' => 'Adherence to regulatory and company policies',
                'penalty_items' => [
                                [
                                                                'name' => 'Skipped identity verification',
                                                                'penalty_points' => -10,
                                                                'is_auto_fail' => true
                                ]
                ]
        ],
        [
                'name' => 'Resolution',
                'weight' => 25,
                'description' => 'Effective problem solving and issue resolution'
        ],
        [
                'name' => 'Sales',
                'weight' => 15,
                'description' => 'Upselling and cross-selling opportunities'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills"

	payload := strings.NewReader("{\n  \"skills\": [\n    {\n      \"name\": \"Greeting\",\n      \"weight\": 15,\n      \"description\": \"Professional opening and introduction\"\n    },\n    {\n      \"name\": \"Empathy\",\n      \"weight\": 20,\n      \"description\": \"Understanding and acknowledging customer concerns\"\n    },\n    {\n      \"name\": \"Compliance\",\n      \"weight\": 25,\n      \"description\": \"Adherence to regulatory and company policies\",\n      \"penalty_items\": [\n        {\n          \"name\": \"Skipped identity verification\",\n          \"penalty_points\": -10,\n          \"is_auto_fail\": true\n        }\n      ]\n    },\n    {\n      \"name\": \"Resolution\",\n      \"weight\": 25,\n      \"description\": \"Effective problem solving and issue resolution\"\n    },\n    {\n      \"name\": \"Sales\",\n      \"weight\": 15,\n      \"description\": \"Upselling and cross-selling opportunities\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("PUT", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.put("https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"skills\": [\n    {\n      \"name\": \"Greeting\",\n      \"weight\": 15,\n      \"description\": \"Professional opening and introduction\"\n    },\n    {\n      \"name\": \"Empathy\",\n      \"weight\": 20,\n      \"description\": \"Understanding and acknowledging customer concerns\"\n    },\n    {\n      \"name\": \"Compliance\",\n      \"weight\": 25,\n      \"description\": \"Adherence to regulatory and company policies\",\n      \"penalty_items\": [\n        {\n          \"name\": \"Skipped identity verification\",\n          \"penalty_points\": -10,\n          \"is_auto_fail\": true\n        }\n      ]\n    },\n    {\n      \"name\": \"Resolution\",\n      \"weight\": 25,\n      \"description\": \"Effective problem solving and issue resolution\"\n    },\n    {\n      \"name\": \"Sales\",\n      \"weight\": 15,\n      \"description\": \"Upselling and cross-selling opportunities\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}/skills")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"skills\": [\n    {\n      \"name\": \"Greeting\",\n      \"weight\": 15,\n      \"description\": \"Professional opening and introduction\"\n    },\n    {\n      \"name\": \"Empathy\",\n      \"weight\": 20,\n      \"description\": \"Understanding and acknowledging customer concerns\"\n    },\n    {\n      \"name\": \"Compliance\",\n      \"weight\": 25,\n      \"description\": \"Adherence to regulatory and company policies\",\n      \"penalty_items\": [\n        {\n          \"name\": \"Skipped identity verification\",\n          \"penalty_points\": -10,\n          \"is_auto_fail\": true\n        }\n      ]\n    },\n    {\n      \"name\": \"Resolution\",\n      \"weight\": 25,\n      \"description\": \"Effective problem solving and issue resolution\"\n    },\n    {\n      \"name\": \"Sales\",\n      \"weight\": 15,\n      \"description\": \"Upselling and cross-selling opportunities\"\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "message": "Skills replaced successfully",
  "data": {
    "uuid": "7e1c9b3a-5d2f-4c8e-b6a1-0f9d8c7b6a5e",
    "name": "Support QA Agent",
    "description": "Evaluates support conversations for empathy and compliance",
    "evaluates_agent_type": "human",
    "is_active": true,
    "is_default": true,
    "evaluation_model": "advanced",
    "strictness_level": 70,
    "confidence_threshold": 85,
    "auto_fail_threshold": 3,
    "language": "English",
    "custom_instructions": "Focus on product knowledge when evaluating technical support calls.",
    "automatic_scoring": true,
    "sentiment_analysis": true,
    "compliance_checking": true,
    "skills": [
      {
        "uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
        "name": "Empathy",
        "description": "Understanding and acknowledging customer concerns",
        "weight": 20,
        "max_score": 10,
        "ai_evaluation_prompt": "Evaluate whether the agent acknowledged the customer's feelings.",
        "positive_items": [
          {
            "name": "Used the customer's name",
            "points": 5
          }
        ],
        "penalty_items": [
          {
            "name": "Interrupted the customer",
            "penalty_points": -5,
            "is_auto_fail": false
          }
        ],
        "order": 2,
        "is_custom": false
      }
    ],
    "total_weight": 100,
    "weights_balanced": true,
    "created_at": "2026-06-04T10:15:30+00:00",
    "updated_at": "2026-06-04T10:15:30+00:00"
  }
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}