Migration Planner Plugin for Claude Code
A Claude Code plugin that guides architects through Sitecore XP on AWS to Sitecore XP on Azure infrastructure migrations. Provides structured discovery, cross-reference analysis, phased estimation with AI alternatives, formal assumption tracking, confidence scoring, and an interactive HTML dashboard for client presentations.
Installation
claude plugin add /path/to/plugin-migration-planner
Or reference it directly:
claude --plugin-dir ./plugin-migration-planner
Commands
| Command | Description |
|---|
/migrate new | Start a new migration assessment |
/migrate discover | Conduct or resume the discovery interview |
/migrate analyze | Run cross-reference analysis and generate assumptions registry |
/migrate estimate | Generate phased estimates with AI alternatives and confidence scoring |
/migrate plan | Generate client-ready migration plan document |
/migrate gaps | Show assumptions, gaps, and estimate tightening projections |
/migrate compare <topic> | Compare approaches (e.g., "SQL MI vs SQL VM") |
/migrate calibrate | Feed back actuals (including AI tool performance) |
/migrate dashboard | Generate interactive HTML dashboard |
Typical Workflow
/migrate new → Initialize assessment, set project metadata
/migrate discover → Walk through 17-dimension infrastructure interview
/migrate gaps → Review what's missing and its impact
/migrate discover → Fill in gaps from previous session
/migrate analyze → Cross-reference risks, dependencies, and generate assumptions registry
/migrate estimate → Generate phased estimates with AI alternatives and confidence score
/migrate gaps → Validate assumptions to tighten the estimate range
/migrate plan → Generate migration plan, risk register, and runbook
/migrate dashboard → Generate interactive HTML dashboard for client presentations
After migration execution:
/migrate calibrate → Feed back actuals and AI tool performance to improve future estimates
v2.0 Features
Assumptions Tracking
Every assumed or unknown discovery answer is formally registered by /migrate analyze with:
- Unique ID (
ASMP-001 through ASMP-NNN)
- Impact assessment: affected components, hours at risk, pessimistic widening
- Validation method: how to confirm the assumption
- Validation status: unvalidated / validated / invalidated
Use /migrate gaps to see all assumptions ranked by impact, and validate them to tighten the estimate range.
AI Alternatives
A catalog of 27 AI and automation tools across 12 categories is built in. Each tool includes:
- Estimated hours saved (3-point: optimistic / expected / pessimistic)
- Cost information and prerequisites
- Applicability conditions and mutual exclusion groups (e.g., Terraform vs Bicep)
The estimate always shows both Manual-Only and AI-Assisted numbers side by side. AI savings are capped at 50% per component to keep estimates credible.
Confidence Score
The confidence score measures how much of the estimate is based on confirmed data:
confidence = (validated_assumptions + confirmed_answers) / total_data_points × 100
As assumptions are validated, the pessimistic range shrinks and confidence increases. The estimate includes a narrative showing how many assumptions to validate to reach a target confidence level.
Interactive Dashboard
/migrate dashboard generates a self-contained HTML file (no external dependencies) with:
- Summary cards: Recommended Estimate, Range, Confidence %, AI Savings
- Confidence meter: Visual indicator with improvement narrative
- Phase breakdown: Expandable tables with firm vs assumption-dependent hours
- Component toggles: Include/exclude scope items with real-time recalculation
- AI tools panel: Toggle AI tools on/off, see savings update instantly
- Assumptions panel: Sorted by impact, color-coded by confidence level
- Scenario comparison: Manual Only / AI-Assisted / Best Case
- Role breakdown: Hours by role with rate ranges
- Risk summary: From analysis, linked to assumptions
- Print/PDF mode: Clean client-ready layout via browser print
Client-Facing Estimate Presentation
Every estimate presents three key numbers:
- Recommended Estimate: Expected hours with AI tools enabled
- Low Estimate: Optimistic with AI (best case)
- High Estimate: Pessimistic without AI + assumption widening (worst case)
What It Covers
17 Discovery Dimensions
- Compute/Hosting
- Database (SQL Server)
- Search (Solr)
- Caching (Redis)
- CDN
- DNS
- SSL/TLS
- Storage/Media
- Email (EXM)
- xConnect/xDB
- Identity
- Session State
- Custom Integrations
- CI/CD
- Monitoring
- Networking/Firewall
- Backup/DR
