LAP Implementations Skills — Examples for GitHub Copilot
Legacy Application Modernisation (LAP) Skills are reusable capability packages that agents discover and load automatically. Unlike Instructions (which are always injected) or Agents (which you invoke explicitly), a Skill activates itself when Copilot decides it is relevant to the current task — based on a short description you write in the skill file.
Skills follow the Agent Skills open standard (opens in new tab) and work across multiple AI coding assistants — not just GitHub Copilot.
Available examples
| Agent | Purpose |
|---|---|
| LAP Innovation Architecture Reasoning | Propose a target architecture and an incremental migration plan that is achievable and reversible. |
| LAP Innovation Incremental Refactoring | Implement one approved migration slice safely in a factory-compatible way small, reviewable, reversible, and fully tested. |
| LAP Innovation Intelligent Application Migration | Implement one approved migration slice safely in a factory-compatible way small, reviewable, reversible, and fully tested. |
| LAP Inovation System Discovery | Build an accurate, evidence-based map of the current system (structure, flows, dependencies, data) |
| LAP Innovation Test Synthesis | Create a safety net that protects current behaviour and supports incremental modernisation. |
