Migrate

Classify and route external content into PAI taxonomy destinations.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Migrate ingests content from external sources and places it into the PAI taxonomy by classifying each chunk and routing it to the correct destination, reducing manual tagging and organization work.

Core Features & Use Cases

  • Ingest from files (.md/.markdown/.txt), stdin, or other PAI installations, then classify chunks into TELOS, IDEAL_STATE, Identity, Knowledge, and AI rules destinations.
  • Route and commit approved chunks with provenance, supporting an auditable workflow and preserving source attribution.
  • Use cases include importing notes, migrating cursor-rule outputs, and organizing scattered content into a structured knowledge base for PAI.

Quick Start

Use the migrate command to scan a source directory or paste content, review the proposed routing, and commit trusted chunks with provenance.

Frequently Asked Questions about Migrate

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

FAQPage Schema
How do I automate content ingestion and classification into a structured taxonomy?

Automating content ingestion and classification is done by scanning external files or stdin, classifying each chunk, and routing it to the correct taxonomy destination. This reduces manual tagging by handling sources like markdown and text files automatically.

Can I import markdown notes and route them to specific knowledge base destinations?

Yes, you can import markdown notes and route them to specific destinations. The system classifies ingested chunks into categories like TELOS, Identity, and Knowledge, organizing scattered content into a structured knowledge base with source attribution.

What is the best way to preserve provenance when migrating external content?

The best way to preserve provenance during content migration is to use an approval workflow that routes and commits chunks with source attribution. This enforces auditable tracking and prevents bulk acceptance of unclear content.

How do I route cursor-rule outputs into the PAI taxonomy?

To route cursor-rule outputs into the PAI taxonomy, use the migrate command to scan the source directory, review the proposed classification and routing, and commit trusted chunks with provenance attached.

Does the content ingestion workflow prevent bulk acceptance of unclear content?

Yes, the content ingestion workflow prevents bulk acceptance of unclear content. It enforces an approval process that requires reviewing proposed routing before committing chunks, ensuring only verified content enters the taxonomy.

What file formats are supported for automated content classification and routing?

Supported file formats for automated content classification include .md, .markdown, and .txt files. The system also ingests content from stdin or other PAI installations to classify and route chunks into the taxonomy.