Keto Merch Sales Guide

I want to build a chatbot called KetoStyleBot that helps users choose keto-themed merch based on their personality, and then offers them a $1 clean keto meal plan using my affiliate link.

First, pre-entered info...

final-output2

The final output is a working chatbot (KetoStyleBot) that can be used on a website or messaging platform. It should provide personalized keto-themed merch recommendations and present a $1 clean keto meal plan via an affiliate link.

subagents-extracted2

OVERVIEW OF SUBAGENTS: • Subagent 1: Chatbot Configurator • Subagent 2: Product Data Compiler • Subagent 3: Personality Mapping Builder • Subagent 4: Affiliate Integration Agent SUBAGENT 1: Chatbot Configurator Name: Chatbot Configurator Final Output: A JSON (or YAML) file, e.g., "chatbot-config.json," describing conversation flow. Skill Used: • #190 - Write or rewrite text based on instructions DESCRIPTION (for Subagent 1): • Takes a concise prompt describing the chatbot's structure (greetings, quiz Q&A, fallback logic, final offer). • Generates a JSON file defining each step in the conversation, from greeting to farewell. INPUT NEEDED: • A short prompt containing all chatbot flow rules and conversation structure. OUTPUT: • JSON text representing the chatbot's configuration (e.g., "chatbot-config.json"). SUBAGENT REQUIRED INPUT: {chatbotStructurePrompt} SUBAGENT FINAL OUTPUT: [chatbot-configuration] SUBAGENT 2: Product Data Compiler Name: Product Data Compiler Final Output: A JSON file, e.g., "keto_merch_data.json," listing a small selection of keto-themed products (name, description, image URL, product URL). Skills Used: 1) #216 - Research Topic (Or Keyword) Deeply DESCRIPTION (for Subagent 2, Skill #216): • Research a limited set of relevant keto-themed merchandise (e.g., 3–5 popular items). • Returns a concise text summary of suitable products and details found through the research. INPUT NEEDED: • Keyword/topic such as "keto-themed merchandise." OUTPUT (Skill #216): • A short block of research text summarizing possible products. 2) #190 - Write or rewrite text based on instructions DESCRIPTION (for Subagent 2, Skill #190): • Takes the research results and formats them into a compact JSON product data file. INPUT NEEDED: • The summary from Skill #216, plus instructions to create JSON with fields (name, description, image URL, product URL). OUTPUT (Skill #190): • "keto_merch_data.json" (final structured JSON). SUBAGENT REQUIRED INPUT: {ketoMerchKeyword} SUBAGENT FINAL OUTPUT: [keto-merch-data] SUBAGENT 3: Personality Mapping Builder Name: Personality Mapping Builder Final Output: A JSON file, e.g., "personality_mapping.json," linking quiz outcomes to the curated info in "keto_merch_data.json." Skill Used: • #190 - Write or rewrite text based on instructions DESCRIPTION (for Subagent 3): • Takes a prompt defining a small set of personality categories (e.g., 3–4 types) and how each maps to the product data. • Returns a concise JSON structure specifying those mappings. INPUT NEEDED: • Description of personality quiz categories and a reference to "keto_merch_data.json." OUTPUT: • "personality_mapping.json" (as JSON text) linking quiz outcomes to recommended products. SUBAGENT REQUIRED INPUT: {personalityCategories}, [keto-merch-data] SUBAGENT FINAL OUTPUT: [personality-mapping] SUBAGENT 4: Affiliate Integration Agent Name: Affiliate Integration Agent Final Output: An updated chatbot configuration file (or final instructions for it) that includes the affiliate link for the $1 clean keto meal plan. Skill Used: • #190 - Write or rewrite text based on instructions DESCRIPTION (for Subagent 4): • Takes the existing "chatbot-config.json" and the affiliate link. • Appends a final conversation step with the $1 clean keto meal plan link. INPUT NEEDED: • The original chatbot config JSON plus the affiliate link. OUTPUT: • The updated chatbot configuration text ensuring the affiliate link is included at the end of the flow. SUBAGENT REQUIRED INPUT: [chatbot-configuration], {affiliateLink} SUBAGENT FINAL OUTPUT: [updated-chatbot-config]

subagentnumber

[subagentnumber]

Then, agent response...

subagent1refined-new-json-core

Here's the updated summary for SUBAGENT 1 with the new TASKFLOW SUMMARY section: A) SUBAGENT SUMMARY The Chatbot Configurator transforms a natural language prompt describing chatbot behavior into a structured JSON configuration file defining the complete conversation flow. B) FINAL TASK OUTPUT A JSON text file ("chatbot-config.json") containing the complete conversation flow configuration, including greeting, quiz flow, response logic, and farewell messages. C) SUBAGENT INPUT {chatbotStructurePrompt} D) SUBAGENT OUTPUT [chatbot-configuration] E) SUBAGENT TASK SUMMARY 1. Receive {chatbotStructurePrompt} with chatbot structure rules 2. Use Skill #190 to transform prompt into structured JSON configuration 3. Output complete [chatbot-configuration] JSON text F) SILOS No silos required - single linear workflow G) TASKFLOW SUMMARY - ID: #190 - Title task: Transform Chatbot Structure Prompt into JSON Configuration - Description of the task: Converts a natural language prompt describing chatbot behavior into a structured JSON configuration file that defines all conversation steps, including greetings, quiz logic, response handling, and farewell messages - Input(s) involved: {chatbotStructurePrompt} - Output token name: [chatbot-configuration] Note: This subagent uses only one skill (#190) as it performs a single primary function of converting the input prompt into a structured JSON configuration. The task represents the complete transformation from natural language instructions to technical configuration format.

subagent1mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> graph TD A[Start] --> B[Receive ChatbotStructurePrompt] B --> C[Initialize Skill #190] C --> D[Parse Input Prompt] D --> E[Extract Key Components] E --> F[Structure JSON Elements] F --> G1[Define Greeting Messages] F --> G2[Define Quiz Logic] F --> G3[Define Response Handling] F --> G4[Define Farewell Messages] G1 --> H[Compile JSON Configuration] G2 --> H G3 --> H G4 --> H H --> I[Validate JSON Structure] I --> J{Is JSON Valid?} J -->|Yes| K[Output chatbot-configuration] J -->|No| F K --> L[End] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

Mermaid Image - https://static.aiz.ac/1754571225-mermaid/mermaid1.png

prompts-required

[prompts-required]

subagent1-json-array

[ { "taskID": 190, "semanticTitleOfTask": "Generate Chatbot Conversation Flow JSON Configuration", "taskDescription": "This task converts a natural-language description of the desired chatbot behavior into a valid, fully structured JSON configuration file that defines every conversation step, including greetings, personality quiz logic, product recommendations, affiliate offer, fallback handling, and farewell messages.", "inputDescription": "Single input: {chatbotStructurePrompt} – a concise but complete natural-language description of the chatbot’s desired flow, including greeting text, quiz questions and options, branching logic, product recommendation steps, affiliate meal-plan offer details, fallback responses, and farewell lines.", "inputRequired": ["chatbotStructurePrompt"], "outputDescription": "A plaintext JSON file named \"chatbot-config.json\" that contains an array of conversation steps, each with an id, type, message, options (when relevant), nextStep references, and fallback handling. The JSON is immediately usable by common chatbot platforms.", "outputName": "chatbot-configuration", "promptInstruction": "You are a chatbot configuration specialist. Create a valid JSON configuration file for a keto-themed merchandise recommendation chatbot. The configuration must include: 1) greeting messages; 2) personality quiz questions with multiple-choice options; 3) logic for handling user answers (nextStep links); 4) delivery format for product recommendations; 5) transition to a $1 clean keto meal-plan affiliate offer; 6) farewell messages; 7) error/fallback responses. Structure the JSON with a \"steps\" array, and for each step include: \"id\", \"type\" (greeting/question/response/recommendation/offer/farewell), \"message\", optional \"options\", \"nextStep\", and \"fallback\". Use camelCase property names, ensure the JSON is properly nested and valid, and add concise comments for clarity." } ]

subagent1-json-array-mermaid

<!DOCTYPE html> <html> <head> <title>Mermaid Diagram Example</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script> </head> <body> <div class="mermaid"> graph TD A[Start] --> B[Receive chatbotStructurePrompt] B --> C[Process Input with Skill #190] C --> D[Parse Natural Language Description] D --> E[Structure Conversation Elements] E --> F{Create JSON Components} F --> G[Greeting Config] F --> H[Quiz Questions Config] F --> I[Product Recommendations Config] F --> J[Affiliate Offer Config] F --> K[Fallback Logic Config] F --> L[Farewell Messages Config] G & H & I & J & K & L --> M[Combine into Final JSON] M --> N[Validate JSON Structure] N --> O[Output chatbot-config.json] O --> P[End] </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>