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Legacy System Modernization Engine
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 1kalin/afrexai-legacy-modernizationExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Complete methodology for assessing, planning, and executing legacy system modernization — from monolith decomposition to cloud migration. Works for any tech stack, any scale.
system_name: "[Name]"
age_years: 0
primary_language: ""
framework: ""
database: ""
deployment: "on-prem | VM | container | serverless"
lines_of_code: 0
team_size: 0
monthly_users: 0
annual_revenue_supported: "$0"
compliance_requirements: []
known_pain_points: []
business_driver: "cost | speed | talent | risk | compliance | scale"
timeline_pressure: "low | medium | high | critical"
budget_range: "$0-$0"
sponsor: ""
Score each dimension 1-5 (1=critical, 5=healthy):
| Dimension | Score | Evidence |
|---|---|---|
| Code quality — test coverage, complexity, duplication | ||
| Architecture — coupling, modularity, clear boundaries | ||
| Infrastructure — deployment automation, monitoring, scaling | ||
| Dependencies — outdated libraries, EOL frameworks, security vulns | ||
| Data — schema quality, migration history, backup/recovery | ||
| Documentation — accuracy, coverage, onboarding effectiveness | ||
| Operations — deployment frequency, MTTR, incident rate | ||
| Security — auth patterns, encryption, audit trail, compliance gaps | ||
| Developer experience — build time, local setup, debugging tools | ||
| Business logic clarity — documented rules, test coverage of logic |
Total: /50
For each major dependency:
dependency: ""
current_version: ""
latest_version: ""
eol_date: "" # End of life
security_vulns: 0 # Known CVEs
upgrade_difficulty: "trivial | moder...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Complete methodology for assessing, planning, and executing legacy system modernization — monolith decomposition, cloud migration, strangler fig patterns, database modernization, and more. Any tech stack, any scale.
clawhub install afrexai-legacy-modernization
Tell your agent: "Assess this system for modernization" — it'll run the full Technical Debt Inventory and recommend a strategy.
"We have a 15-year-old Java 8 monolith on-prem. 500K LOC, 12 developers.
We need to get to cloud. What's the plan?"
→ Technical Debt Inventory → Strategy: Strangler Fig + Replatform
→ Domain discovery → Bounded contexts → Extraction sequence
→ Cloud readiness check → Migration phases → Testing plan
For industry-specific modernization context (compliance requirements, integration patterns, vendor landscapes):
# Legacy System Modernization Engine Complete methodology for assessing, planning, and executing legacy system modernization — from monolith decomposition to cloud migration. Works for any tech stack, any scale. --- ## Phase 1: System Assessment ### Modernization Brief ```yaml system_name: "[Name]" age_years: 0 primary_language: "" framework: "" database: "" deployment: "on-prem | VM | container | serverless" lines_of_code: 0 team_size: 0 monthly_users: 0 annual_revenue_supported: "$0" compliance_requirements: [] known_pain_points: [] business_driver: "cost | speed | talent | risk | compliance | scale" timeline_pressure: "low | medium | high | critical" budget_range: "$0-$0" sponsor: "" ``` ### Technical Debt Inventory Score each dimension 1-5 (1=critical, 5=healthy): | Dimension | Score | Evidence | |-----------|-------|----------| | **Code quality** — test coverage, complexity, duplication | | | | **Architecture** — coupling, modularity, clear boundaries | | | | **Infrastructure** — deployment automation, monitoring, scaling | | | | **Dependencies** — outdated libraries, EOL frameworks, security vulns | | | | **Data** — schema quality, migration history, backup/recovery | | | | **Documentation** — accuracy, coverage, onboarding effectiveness | | | | **Operations** — deployment frequency, MTTR, incident rate | | | | **Security** — auth patterns, encryption, audit trail, compliance gaps | | | | **Developer experience** — build time, local setup, debugging tools | | | | **Business logic clarity** — documented rules, test coverage of logic | | | **Total: /50** - **40-50**: Healthy — incremental improvement - **30-39**: Aging — targeted modernization - **20-29**: Legacy — systematic modernization needed - **10-19**: Critical — modernize or replace ### Dependency Risk Matrix For each major dependency: ```yaml dependency: "" current_version: "" latest_version: "" eol_date: "" # End of life security_vulns: 0 # Known CVEs upgrade_difficulty: "trivial | moder...
# Legacy System Modernization Engine Complete methodology for assessing, planning, and executing legacy system modernization — monolith decomposition, cloud migration, strangler fig patterns, database modernization, and more. Any tech stack, any scale. ## Install ```bash clawhub install afrexai-legacy-modernization ``` ## What You Get - **Technical Debt Inventory** — 10-dimension scoring system with evidence tracking - **Strategy Decision Matrix** — 8 strategies with selection decision tree - **Strangler Fig Pattern** — step-by-step with facade YAML and sequencing rules - **Monolith Decomposition** — domain discovery, bounded context mapping, extraction priority matrix - **Database Modernization** — migration strategies, schema evolution rules, data quality gates - **Cloud Migration** — readiness assessment, checklist, cost optimization from Day 1 - **API Modernization** — wrapping patterns, contract-first migration - **Testing Strategy** — parity testing framework, performance regression rules - **Language/Framework Playbooks** — Java, Python, jQuery→React, COBOL/mainframe - **Risk Management** — top 10 pre-built risks, kill criteria - **100-Point Quality Rubric** across 8 weighted dimensions ## Quick Start Tell your agent: *"Assess this system for modernization"* — it'll run the full Technical Debt Inventory and recommend a strategy. ## Example ``` "We have a 15-year-old Java 8 monolith on-prem. 500K LOC, 12 developers. We need to get to cloud. What's the plan?" → Technical Debt Inventory → Strategy: Strangler Fig + Replatform → Domain discovery → Bounded contexts → Extraction sequence → Cloud readiness check → Migration phases → Testing plan ``` ## ⚡ Level Up For industry-specific modernization context (compliance requirements, integration patterns, vendor landscapes): - **[SaaS Context Pack](https://afrexai-cto.github.io/context-packs/)** — $47 - **[Fintech Context Pack](https://afrexai-cto.github.io/context-packs/)** — $47 - **[Healthcare Context...
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