phase1-ready

Convert interview answers into personalized memory files for AI advisors.

Updated Apr 17, 2026

Search Tags:#onboarding #personalization #memory-files #ai-advisor #memory-layer

Ready to run

npx skills add https://github.com/linardsb/fredis --skill phase1-ready

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: phase1-ready
Source: https://github.com/linardsb/fredis/tree/main/.claude/skills/phase1-ready
Command: npx skills add https://github.com/linardsb/fredis --skill phase1-ready

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of converting interview answers into personalized memory files for your AI advisor, ensuring a tailored experience based on your input.

Core Features & Use Cases

Memory Layer Personalization: Converts interview answers into key memory files like SOUL.md, USER.md, MEMORY.md, HABITS.md, and HEARTBEAT.md.
Review & Approval Workflow: Allows you to review each draft before finalizing changes, ensuring accuracy and control.
Folder Scaffolding: Creates new topic folders for research, competitors, retainers, case studies, investors, and collaborators.
PRD Addendum: Appends a Context Deltas addendum to the Product Requirements Document (PRD).
BOOTSTRAP.md Deletion: Removes the initial bootstrap file after completion.

Quick Start

Run the phase1-ready skill after completing your onboarding interview to initiate the memory-layer personalization process.

Frequently Asked Questions about phase1-ready

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert onboarding interview answers into AI advisor memory files?▼

You can convert onboarding interview answers into AI advisor memory files by triggering the phase1-ready process, which processes user inputs to generate SOUL.md, USER.md, MEMORY.md, HABITS.md, and HEARTBEAT.md files for personalized AI memory layer configuration.

What is an AI memory layer personalization workflow?▼

An AI memory layer personalization workflow takes user interview responses and transforms them into structured memory files, ensuring the AI advisor retains user-specific context, habits, and preferences for tailored future interactions.

Can I review and approve memory files before they are written to my AI advisor?▼

Yes, the memory file generation process includes a review and approval workflow that allows you to verify each drafted file for accuracy and control before finalizing any changes to the actual memory layer.

How do I scaffold topic folders for research and competitors during AI onboarding?▼

You can scaffold topic folders for research, competitors, retainers, case studies, investors, and collaborators automatically by running the phase1-ready skill after completing your onboarding interview.

Does the AI onboarding process update the Product Requirements Document?▼

Yes, the onboarding process appends a Context Deltas addendum directly to the Product Requirements Document (PRD) and removes the initial bootstrap file to finalize the memory setup.

What triggers the AI memory file generation process?▼

The memory file generation process triggers on specific phrases indicating onboarding completion, automatically initiating the conversion of your interview answers into the structured memory layer files.