persona-knowledgev0.2.2

A user wants to create a persistent knowledge base of their own personality, memories, and communication style from their Obsidian vault, chat logs, and social media exports. This skill ingests all data into a structured MemPalace store, enabling future AI personas to accurately replicate their voice and decision-making.

A celebrity or influencer wants to build an AI chatbot that mimics their persona for fan interactions. The skill imports their Twitter archive, interview transcripts, and personal notes, incrementally building a wiki with identity, voice, and values to train a persona model.

An organization captures the expertise and communication style of a departing executive by ingesting their emails, project notes, and meeting transcripts. The skill creates a searchable persona knowledge base that can later be used to train an AI assistant that embodies their decision-making heuristics and relationships.

A researcher tracks changes in their own thoughts, values, and relationships over years by periodically importing journal entries and social media archives. The skill incrementally updates the wiki and knowledge graph, revealing shifting perspectives and contradictions over time.

A writer builds a detailed knowledge base for a fictional character using notes, dialogue snippets, and story drafts. This data is ingested to create a consistent AI persona that can roleplay as the character for fan engagement, with wiki pages for voice, thinking, and timeline.

Users can create and maintain a single persona knowledge base for free with limited storage (e.g., 50 MB). Premium tiers unlock multiple personas, larger data imports, and export to the persona-model-trainer for custom AI chatbot deployment.

Companies license the skill to capture and preserve institutional knowledge from key employees. The platform ingests internal communications, documents, and meeting notes, enabling training of AI assistants that replicate expert decision-making for training and continuity.

Content creators and influencers pay per dataset creation, with usage-based pricing for data ingestion volume (e.g., $0.10 per 1,000 messages) and additional fees for exporting training data to fine-tune an AI model. This model suits occasional users who need high-quality persona data quickly.