PLR Package Builder for MMO Niche

I want to build an AI agent to create PLR packages suitable for the MMO/internet marketing niche that I could sell to other entrepreneurs and marketers. The components required for each package would be as follows 1) 50-page ebook 2) 15-page lead magnet 3) email series 4) checklist 5) graphics including covers for ebook and lead magnet 6) resource guide, 7) ready made sales page and landing page, 8) legal pages, 9) 10 articles 11) social media kit, 12) licences 13) a how to guide on how to use the plr package. You will need to research and select a suitable topic and then create the package

First, pre-entered info...

final-output2

A single compressed file (such as a ZIP) that contains all of the PLR materials: the ebook, lead magnet, checklist, email series, articles, sales pages, graphics, legal pages, social media assets, licenses, and instructions.

subagents-extracted2

OVERVIEW OF SUBAGENTS • Subagent 1: "ContentMaster" – Research topic and produce all text-based materials. • Subagent 2: "GraphicGuru" – Create covers and social media graphics. • Subagent 3: "SalesCopywriter" – Generate sales/landing page copy. • Subagent 4: "Packager & Finalizer" – Provide license text, usage guide, and prepare files into a final ZIP. SUBAGENT 1: "ContentMaster" Final Output: A single combined text output containing all written content (ebook, lead magnet, articles, email series, checklist, resource guide, how-to guide, legal/licensing pages). SUBAGENT REQUIRED INPUT: {plr-topic} SUBAGENT FINAL OUTPUT: [all-written-content] How It Will Accomplish This: 1) Skill Used: #216 (Research Topic or Keyword) Input: One chosen niche keyword or topic. Output: A concise research summary identifying key topic points. 2) Skill Used: #190 (Write or Rewrite Text) Input: The research summary plus a prompt detailing all documents needed (ebook, lead magnet, articles, etc.). Output: The full text content for each required document as multiple text segments. 3) Skill Used: #223 (Powerful LLM Prompt-to-Text Response) Purpose: Summarize or combine the multiple text segments (ebook, lead magnet, articles, emails, checklist, resource guide, how-to guide, and legal/licensing pages) into one final consolidated text output. Sequence: • Action1 (#216) → Research summary • Action2 (#190) → Drafts of all required documents • Action3 (#223) → Combine all documents into one final text output (Subagent 1's final output) SUBAGENT 2: "GraphicGuru" Final Output: A single text summary listing all graphic outputs (ebook cover, lead magnet cover, social media assets) and any relevant file details or links. SUBAGENT REQUIRED INPUT: [all-written-content], {brand-style} SUBAGENT FINAL OUTPUT: [plr-graphics] How It Will Accomplish This: 1) Skill Used: #222 (Make Image) Input: A single prompt describing style requirements, text for covers, and social media needs. Output: Multiple PNG files (covers, social media graphics). 2) Skill Used: #223 (Powerful LLM Prompt-to-Text Response) Purpose: Summarize the multiple graphic outputs (filenames, descriptions) into a single text output reference for easy handoff. Sequence: • Action1 (#222) → Generate covers and social media graphics (multiple PNG files) • Action2 (#223) → Produce one text-based summary referencing all graphic files (Subagent 2's final output) SUBAGENT 3: "SalesCopywriter" Final Output: A single text document containing both the sales page copy and the landing page copy. SUBAGENT REQUIRED INPUT: [all-written-content] SUBAGENT FINAL OUTPUT: [sales-and-landing-copy] How It Will Accomplish This: 1) Skill Used: #190 (Write or Rewrite Text) Input: Relevant product information from "ContentMaster" and instructions for persuasive angles, headlines, bullet points, calls to action, etc. Output: Two separate text sections: one for the primary sales page copy, another for the landing page copy. 2) Skill Used: #223 (Powerful LLM Prompt-to-Text Response) Purpose: Merge the two text sections (sales page copy and landing page copy) into one final text document. Sequence: • Action1 (#190) → Draft the distinct copies for sales page and landing page • Action2 (#223) → Consolidate them into a single text output (Subagent 3's final output) SUBAGENT 4: "Packager & Finalizer" Final Output: A complete folder structure ready to compress into a single ZIP, containing: • Consolidated text content from Subagent 1 • Graphics from Subagent 2 • Sales/landing copy from Subagent 3 • License text & usage guide SUBAGENT REQUIRED INPUT: [all-written-content], [plr-graphics], [sales-and-landing-copy] SUBAGENT FINAL OUTPUT: [final-plr-zip] How It Will Accomplish This: 1) Skill Used: #223 – Prompt-to-Text Response (License) Input: Desired licensing terms and disclaimers. Output: PLR license text. 2) Skill Used: #190 – Write or Rewrite Text (Usage Guide) Input: List of items in the package with editing/resale instructions. Output: A brief Read Me/usage guide. 3) Manual Assembly – Consolidate all text content from Subagent 1. – Add graphics from Subagent 2 (image files plus the text summary). – Include sales copy from Subagent 3. – Insert the license text and usage guide. – Place everything into a logical folder structure and compress into the final ZIP (Subagent 4's final output).

subagentnumber

[subagentnumber]

Then, agent response...

subagent1refined-new-json-core

I'll add the G) TASKFLOW SUMMARY section to SUBAGENT 1's specification, listing out each task/skill in detail: G) TASKFLOW SUMMARY Task 1: - ID: #216 - Title: Research PLR Topic and Create Comprehensive Research Summary - Description: Deep research into the specified PLR topic, analyzing key components, market demand, and core concepts to create a detailed research foundation for content creation - Input(s): {plr-topic} - Output token name: [research-summary] Task 2: - ID: #190 - Title: Generate Complete PLR Written Content Package - Description: Using the research summary, create all required written components including ebook, lead magnet, articles, email series, checklist, resource guide, how-to guide, and legal pages - Input(s): [research-summary] - Output token name: [raw-plr-text-segments] Task 3: - ID: #223 - Title: Consolidate All PLR Text Components - Description: Combine and structure all written components into a single, well-organized text file with clear section demarcation and formatting - Input(s): [raw-plr-text-segments] - Output token name: [all-written-content] Each task flows sequentially: {plr-topic} → #216 → [research-summary] → #190 → [raw-plr-text-segments] → #223 → [all-written-content] The original sections A through F remain unchanged from the previous specification, with this new section G adding detailed task/skill information for each component of the workflow.

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[Input: PLR Topic] --> B[Task 1: Research] B --> C[Output: Research Summary] C --> D[Task 2: Content Creation] D --> E[Output: Raw PLR Text Segments] E --> F[Task 3: Consolidation] F --> G[Final Output: All Written Content] subgraph Research Silo B end subgraph Draft Writing Silo D end subgraph Consolidation Silo F end style A fill:#f9f,stroke:#333,stroke-width:2px style G fill:#9ff,stroke:#333,stroke-width:2px style C fill:#ddd,stroke:#333,stroke-width:2px style E fill:#ddd,stroke:#333,stroke-width:2px </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>

Mermaid Image - https://static.aiz.ac/1746385871-mermaid/mermaid1.png

prompts-required

[prompts-required]

subagent1-json-array

[ { "taskID": 216, "semanticTitleOfTask": "Research PLR Topic and Create Comprehensive Research Summary", "taskDescription": "Conducts in-depth research on the chosen PLR topic, identifying core concepts, challenges, strategies, current market trends, and popular subtopics to produce a comprehensive research summary for further content development.", "inputDescription": "A single string containing the PLR topic. The system will use this topic to analyze market demands, key challenges, and strategies, producing a 1000-3000 character structured research summary for subsequent content creation tasks.", "inputRequired": ["plr-topic"], "outputDescription": "A concise 1000-3000 character research summary detailing the topic’s fundamentals, common questions, advanced concepts, and relevant tools or resources.", "outputName": "research-summary", "promptInstruction": "As a market research specialist, create a detailed summary for {plr-topic}. Include core concepts, challenges, solutions, trends, subtopics, audience questions, advanced aspects, and common tools/resources. Format it as a structured outline of about 1000-3000 characters." }, { "taskID": 190, "semanticTitleOfTask": "Generate Complete PLR Written Content Package", "taskDescription": "Creates the full suite of PLR documents using the research summary as a foundation, producing a 50-page ebook, a 15-page lead magnet, 10 articles, a 7-part email series, a checklist, a resource guide, a how-to guide, and legal pages with consistent style and actionable content.", "inputDescription": "Requires the research summary to structure and expand all written components, ensuring each document accurately reflects the topic’s key points and addresses audience pain points and questions.", "inputRequired": ["research-summary"], "outputDescription": "Multiple text segments containing each PLR component in a structured format for further consolidation into a final package.", "outputName": "raw-plr-text-segments", "promptInstruction": "Using [research-summary], produce a 50-page ebook, a 15-page lead magnet, 10 unique articles of 800-1000 words each, a 7-part email series, a comprehensive checklist, a resource guide, a how-to guide for PLR usage, and legal pages. Maintain consistency, actionable advice, and clear formatting." }, { "taskID": 223, "semanticTitleOfTask": "Consolidate All PLR Text Components", "taskDescription": "Combines all the drafted PLR text segments into a single cohesive file that includes a table of contents, clear headers for each component, consistent formatting, and well-defined breaks between sections.", "inputDescription": "The previously generated text segments for the ebook, lead magnet, articles, email series, checklist, resource guide, how-to guide, and legal pages that need to be merged into a unified document.", "inputRequired": ["raw-plr-text-segments"], "outputDescription": "One well-organized text file that places each PLR component into clearly marked sections with a table of contents and consistent styling throughout.", "outputName": "all-written-content", "promptInstruction": "Combine [raw-plr-text-segments] into a single, well-structured document. Include a table of contents, label each section (ebook, lead magnet, articles, email series, checklist, resource guide, how-to guide, legal pages), maintain consistent formatting, and insert clear page breaks." } ]

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[User Input: PLR Topic] --> B[Task #216: Research] B --> C[research-summary] C --> D[Task #190: Content Creation] D --> E[raw-plr-text-segments] E --> F[Task #223: Consolidation] F --> G[all-written-content] subgraph Research Silo B C end subgraph Draft Writing Silo D E end subgraph Consolidation Silo F G end style A fill:#f9f,stroke:#333,stroke-width:2px style G fill:#9ff,stroke:#333,stroke-width:2px </div> <script> mermaid.initialize({ startOnLoad: true }); </script> </body> </html>