Migrating an AI app from hardcoded prompts to a managed system is easy with this guide. It walks you through five clear stages. You start by auditing your code to find all hardcoded values. Then you wrap the provider call with a new SDK and launch configuration. Next you move tool definitions into the managed config. After that you add per-request tracking for duration, tokens, and errors. Finally you attach evaluators to test and score your prompts automatically.
This skill works best for Python and Node.js applications. It supports many popular frameworks like LangChain, LangGraph, and CrewAI. You will avoid common mistakes like tracker scope errors and wrapper reuse. Follow the stages one by one and confirm each step before moving on.
Global
mkdir -p ~/.claude/skills/migrateProject
mkdir -p .claude/skills/migrateSource Repository
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