create-senpai

To turn WeChat or QQ chat logs into an AI persona, you provide a codename and paste chat exports, meeting notes, or screenshots. The skill ingests these traces to generate a runnable Group Memory and Persona system for meeting coaching and critique.

Yes, you can create a senior AI assistant from social media screenshots and meeting notes. The skill supports multi-source ingestion of documents and photos, using EXIF-based timeline assistance to construct a runnable persona for debugging rescue and critique.

Persona modeling from group memory works by distilling a graduated senior's scattered traces into memory.md and persona.md files. These files combine into a runnable SKILL.md with user-invocable triggers, creating a consistent senior-like meeting presence for future discussions.

Yes, you need the Python Pillow library (version 9.0.0 or higher) installed to create an AI skill from chat ingestion. This dependency is required to process photo inputs and screenshots during the multi-source ingestion phase.

Safety boundaries when building a senior-like AI persona prevent impersonation and fabricated claims. The skill enforces strict constraints during the generation of memory and persona files to ensure the AI acts as a critique and coaching assistant without misrepresenting facts.

Yes, you can update an existing AI persona incrementally with new meeting notes using the /update-senpai command. The skill supports versioned updates, rollback, and correction mode to evolve the generated memory and persona files over time.