Interview

Orchestrate phased conversational interviews across PAI context files to validate TELOS.

1|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/starlink-awaken/pai-universal --skill interview-starlink-awaken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Interview
Source: https://github.com/starlink-awaken/pai-universal/tree/main/templates/packs/Interview/src
Command: npx skills add https://github.com/starlink-awaken/pai-universal --skill interview-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Interview skill orchestrates a phased conversational review of all PAI context files, ensuring foundational TELOS alignment before moving to IDEAL_STATE, preferences, and identity. It enables structured, prioritized questioning and controlled updates to keep context accurate, consistent, and purpose-driven.

Core Features & Use Cases

  • Phased, priority-based interviews: Phase 1 foundational TELOS, Phase 2 IDEAL_STATE, Phase 3 preferences, Phase 4 CURRENT_STATE, Phase 9 RHYTHMS (deferred).
  • One-question-at-a-time conversation: Guided prompts reduce cognitive load and minimize erroneous edits.
  • Change-tracking and backups: Timestamped backups and controlled writes to TELOS and PRINCIPAL_IDENTITY during updates.
  • Review and fill modes: Adapts to file completeness to determine when to surface questions or walk prompts.
  • Use Case: Maintain and refine a living TELOS blueprint and PRINCIPAL_IDENTITY across multiple context files during ongoing personal AI workflow.

Quick Start

Start an interview workflow to scan and progressively refine your PAI context across all context files.

Frequently Asked Questions about Interview

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

FAQPage Schema
How do I conduct a phased conversational interview to refine PAI context files?▼

A phased conversational interview refines PAI context files by orchestrating priority-based questions across TELOS, IDEAL_STATE, and preferences. It applies foundational TELOS alignment first, ensuring structured, incremental context updates with guided one-question-at-a-time prompts.

What is the best way to validate TELOS alignment across multiple context files?▼

Validating TELOS alignment across multiple context files requires a phased workflow that reviews foundational TELOS before moving to IDEAL_STATE, preferences, and identity. This structured approach ensures context accuracy and consistency through controlled, one-question-at-a-time updates.

How does context management handle automatic backups during TELOS edits?▼

Context management handles automatic backups during TELOS edits by generating timestamped backups and applying controlled writes to TELOS and PRINCIPAL_IDENTITY files. This ensures safe, reliable, and incremental context updates without risking data loss during the interview workflow.

Can I use automated workflows to update PRINCIPAL_IDENTITY and preferences incrementally?▼

Automated workflows can update PRINCIPAL_IDENTITY and preferences incrementally by applying phased interview logic that adapts to file completeness. The system uses review and fill modes to determine when to surface questions or walk prompts for safe, structured edits.

When should I defer Phase 9 RHYTHMS during a context interview?▼

Phase 9 RHYTHMS should be deferred during a context interview when foundational TELOS, IDEAL_STATE, preferences, and identity require prioritized validation first. Deferring RHYTHMS ensures safe edits and reliable, incremental context updates across multiple PAI files.