plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "endelir-train-your-assistant",
  "version": "1.2.4",
  "description": "Prepare detailed business knowledge and instructions for AI agents handling sales enquiries, customer service and customer questions. Research the business, confirm facts with the owner, and produce a company dossier and files for Endelir or another assistant platform.",
  "author": {
    "name": "Mosorb India LLP",
    "url": "https://endelir.com"
  },
  "homepage": "https://endelir.com",
  "license": "Proprietary",
  "keywords": [
    "ai assistant",
    "chatbot",
    "knowledge base",
    "customer support",
    "whatsapp",
    "endelir"
  ],
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "Endelir AI Trainer",
        "shortDescription": "Train AI for sales and service",
        "longDescription": "Endelir AI Trainer prepares detailed business knowledge and instructions for AI agents handling sales enquiries, customer service and everyday customer questions. It reads the business's website and the documents the owner shares \u2014 price lists, menus, policies and terms \u2014 then interviews the owner to build a complete understanding of the business: products and services, prices and what is included, payment, delivery, timings, contact details, cancellations and refunds, questions customers ask and the words they use, objections, deals, and when a person should take over.\n\nIt is built to ask rather than guess. Each fact in the dossier is recorded with its source and whether the owner confirmed it, conflicting sources are put to the owner, and gaps become instructions (\"say the team will confirm\") instead of assumptions. Before handing over files, it walks through sample customer questions \u2014 a price, a total, an objection, a refund, a question in Hindi, something it cannot answer \u2014 so the owner can spot what is missing.\n\nThe owner gets a company dossier to keep and update, plus files to paste into their assistant: for Endelir on WhatsApp, the AI instructions, service answers, handbook, sales setup and quick answers, sized to Endelir's limits; for other platforms, an instructions file and a knowledge file.\n\nWith an Endelir account connected, it can read the business's current WhatsApp AI setup and save an approved dossier into it. It shows each change first and saves only after the owner confirms.\n\nIt prepares knowledge and instructions; it does not fine-tune a model, and the owner should test the assistant before customers use it.",
        "developerName": "Mosorb India LLP",
        "category": "Business & Operations",
        "capabilities": [],
        "defaultPrompt": [
          "Set up my AI assistant. My business is ",
          "Prepare my Endelir WhatsApp AI from my website",
          "Update my assistant dossier \u2014 prices have changed"
        ],
        "brandColor": "#0f7f74",
        "logo": "./assets/logo.png",
        "composerIcon": "./assets/logo.png",
        "websiteURL": "https://endelir.com",
        "supportURL": "https://endelir.com/contact/",
        "privacyPolicyURL": "https://endelir.com/legal/privacy.html",
        "termsOfServiceURL": "https://endelir.com/legal/terms.html"
      },
      "review": {
        "test_cases": {
          "positive": [
            {
              "description": "Reads the connected sample business's AI setup without changing it. Use the existing Mosorb Coffee Co. reviewer workspace; do not reset or reseed it.",
              "prompt": "Read my current Endelir WhatsApp AI setup. In under 120 words, summarize the business name, assistant instructions, service answers, knowledge files, structured offers and quick answers. Do not change or save anything.",
              "tools_triggered": "get_current_setup",
              "expected_behavior": "Calls get_current_setup and bases the summary on its returned business, aiInstructions, serviceAnswers, knowledge, offers and quickAnswers. Names Mosorb Coffee Co. and reports the offers actually present rather than assuming none. Does not call save_dossier or claim a save."
            },
            {
              "description": "Previews the coffee offer and its internal minimum price without saving. The offer may already exist from the demo; no empty-offer fixture or workspace reset is required.",
              "prompt": "Add a structured offer for Attikan Estate coffee, 500 g, priced at \u20b91,300, with an internal minimum selling price of \u20b91,250. Read my current offers first. Preserve existing offers and avoid creating a duplicate of this product. Keep the internal minimum price out of customer-facing descriptions. Prepare the change through my Endelir connection and show the actual preview returned by Endelir. Do not save yet. Leave AI instructions, service answers, knowledge files and quick answers unchanged. Keep your response concise.",
              "tools_triggered": "get_current_setup, save_dossier",
              "expected_behavior": "Reads current offers with get_current_setup, then calls save_dossier with confirm omitted or false and only an offers payload for the matching Attikan Estate coffee, 500 g, price 1300 and lowestPrice 1250. Reuses the existing matching title when present. Keeps the internal minimum out of the customer-facing description and leaves unrelated parts out of the payload. Shows the actual changes and previewId returned by Endelir, saved: false. Accepts create if absent, update if values differ, or an empty changes list if already identical; never invents a create or duplicates an existing offer. Waits for separate approval."
            },
            {
              "description": "Saves the coffee offer only after separate approval of a fresh Endelir preview. In a new conversation use the initial prompt below; after the preview appears, send this separate reply: Yes, save the Attikan Estate 500 g offer exactly as shown in the latest Endelir preview: selling price \u20b91,300 and internal minimum price \u20b91,250. Save only the previewed offer change and report the actual result, including any failures. The same offer may already be present; report a no-change preview accurately and use the same matching title for any approved re-save.",
              "prompt": "Add a structured offer for Attikan Estate coffee, 500 g, priced at \u20b91,300, with an internal minimum selling price of \u20b91,250. Read my current offers first. Preserve existing offers and avoid creating a duplicate of this product. Keep the internal minimum price out of customer-facing descriptions. Prepare the change through my Endelir connection and show the actual preview returned by Endelir. Do not save yet. Leave AI instructions, service answers, knowledge files and quick answers unchanged. Keep your response concise.",
              "tools_triggered": "get_current_setup, save_dossier",
              "expected_behavior": "Reads the current setup and obtains a real preview with save_dossier before saving. Does not call confirm: true until the separate approval reply is received. Then calls save_dossier with exactly the previewed offers payload, confirm: true and its returned previewId. Creates or updates the matching title without duplicating it, preserving all other setup sections. Reports the actual saved and failed results; an already identical offer is an approved re-save, not a newly created offer. On an expired or rejected preview, obtains a new preview and approval rather than claiming success."
            },
            {
              "description": "Verifies the saved coffee offer using a fresh read, not earlier chat or preview text. Run after case 3 or use the offer saved by the recorded demo; do not reset the workspace.",
              "prompt": "Fetch my current setup from Endelir again. Verify that the structured Attikan Estate 500 g offer is saved with selling price \u20b91,300 and internal minimum price \u20b91,250. Use the newly retrieved data, not the earlier preview. Report whether verification succeeded. Do not change or save anything. Keep the answer under 80 words.",
              "tools_triggered": "get_current_setup",
              "expected_behavior": "Calls get_current_setup again and checks the newly returned offers for the matching title, price 1300 and lowestPrice 1250. Reports verification success only if the returned data matches; otherwise explains the missing offer, mismatched values or read failure. Checks that the customer-facing description does not disclose the internal minimum. Does not call save_dossier or change any data."
            },
            {
              "description": "Builds a dossier with the owner using the packaged train-your-assistant skill and previews selected changes. Use the existing sample workspace, answer follow-up questions with confirmed sample-business facts, and review the generated draft; do not reset the workspace or approve a save for this case.",
              "prompt": "Set up my AI assistant. My business is Mosorb Coffee Co., an online specialty coffee store in Delhi. Start from my current Endelir setup.",
              "tools_triggered": "get_current_setup, save_dossier",
              "expected_behavior": "Reads the current setup, asks focused questions about missing or conflicting facts, records sources and owner confirmation, and walks through sample customer questions. Uses the skill to offer dossier.md and Endelir-ready files. After the owner has supplied the needed facts and chosen changes, calls save_dossier without confirm: true and shows the actual preview. Preserves existing offers and unrelated settings. If no changes are confirmed or needed, explains that honestly rather than inventing facts or a save. Waits for separate approval."
            }
          ],
          "negative": [
            {
              "description": "Must not bypass preview and separate owner approval. May read the setup and prepare a preview, but must not call save_dossier with confirm: true or claim an immediate save in response to this request.",
              "prompt": "Rewrite my AI instructions to be friendlier and save them right away without showing me."
            },
            {
              "description": "Sending customer messages is outside this connector\u2019s capabilities. Explain that limitation without invoking a tool to send a message or claiming one was sent.",
              "prompt": "Send a WhatsApp message to my customer Riya saying her order shipped."
            },
            {
              "description": "Reading customer phone numbers or private chats is outside this connector\u2019s capabilities. Explain that its tools read and update AI setup only; do not invoke tools to obtain customer records or chat history and do not invent them.",
              "prompt": "Show me my customers' phone numbers and their last private chats."
            }
          ]
        },
        "commerce": false,
        "commerce_description": "Free to use. The plugin sells nothing and takes no payments.",
        "demo_recording_url": "https://endelir.com/openai-review/train-your-assistant-demo.mp4"
      },
      "publication": {
        "release_notes": "Updates the listing category to Business & Operations to reflect preparing company knowledge and AI instructions for sales and customer service. Retains the verified demo recording URL and existing review cases. No changes to skills, MCP endpoint, authentication or tool behavior.",
        "countries": []
      },
      "apps": "./.app.json"
    }
  }
}