Build a personalized user profile through guided Q&A and persistent memory.
npx skills add https://github.com/Peter-Swain-Inc/psi-skills --skill agent-trainer
Please help me install this Agent Skill. Skill: agent-trainer Source: https://github.com/Peter-Swain-Inc/psi-skills/tree/main/skills/agent-trainer Command: npx skills add https://github.com/Peter-Swain-Inc/psi-skills --skill agent-trainer
This Skill addresses the issue of an AI agent lacking personalized information about its user, leading to less effective interactions and decision-making.
Start the agent training session by saying "train you" or "teach you about me".
High-intent search queries and answers about installing and using this skill.
To personalize your AI agent, you can initiate a guided Q&A session that builds a comprehensive profile of your preferences, style, and priorities. The collected data is then saved directly to the agent's memory for better future interactions.
You need to create a personalized profile when setting up a new AI agent or when there are significant changes in your business or personal situation that the agent should be aware of to maintain effective interactions.
You can start the AI training session by simply saying "train you" or "teach you about me". This triggers a structured Q&A process to gather your data and save it to persistent memory storage.
Yes, AI training saves your collected profile information directly to the agent's persistent memory storage. This ensures the agent retains your preferences and priorities to enhance future interactions without needing repeated setups.
An AI agent lacks personalized information because it has not been configured with your specific profile data. Running a guided Q&A session collects your preferences and saves them to memory, solving the issue of less effective interactions.
Yes, you can use the guided Q&A process to update your agent's memory after business changes. It systematically collects your new preferences and priorities, storing them in persistent memory to realign the agent's decision-making.
jiunbaeReads and updates ~/agents/WHOAMI.md developer profile data for personalized responses.
ttmouseLoad a user profile to align AI responses with goals and workflows.
dkyazzentwatwaManages user preferences and learned corrections in a persistent profile using JSON and Python.
crewrigInterview users to generate a config/PROFILE.md from a repository template.
