Superficia oportunidades de deepening — refactors que transformam módulos shallow em deep. Testabilidade e AI-navigability. Relatório HTML visual com before/after + grilling loop via /grilling e domain-modeling integration. Baseado em improve-codebase-architecture de Matt Pocock.
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npx claudepluginhub andersonlimahw/lemon-ai-hub --plugin architecture-deepenerIncident response runbooks, on-call workflows, and postmortem templates. Generates severity-tiered runbooks, communication templates, timeline reconstruction, and blameless postmortem docs. Use when user is in an incident, doing on-call prep, writing a postmortem, or building incident response playbooks.
Load testing setup, execution, and analysis with k6, Artillery, or Locust. Generates test scripts, defines VU ramp-up scenarios, interprets p99 latency and error rate results, and suggests infrastructure fixes. Use when user wants to load test an API, check throughput limits, validate SLO headroom, or diagnose performance under traffic.
Database index optimization advisor for PostgreSQL, MySQL, and SQLite. Analyzes slow queries, missing indexes, unused indexes, and over-indexed tables. Generates CREATE INDEX statements with EXPLAIN ANALYZE estimates. Use when queries are slow, p99 DB latency spikes, or when reviewing a new schema.
AI release agent for Google Play Store: audits Android/Expo/React Native/Firebase/RevenueCat before submission. Validates build readiness (app.json, eas.json, AAB, versionCode), Play Console metadata, Data Safety Form, Android permissions, RevenueCat/IAP, i18n parity (PT/EN/ES), policy-risk copy, internal/closed testing and staged rollout. Generates reports + GO/NO-GO checklist. Never publishes or rolls out without explicit human approval. Use when preparing an Android app for Google Play, auditing a submission, generating release notes, validating Data Safety or permissions, or running a release go/no-go.
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Autonomous, independently-verified architecture deepening — sweep a codebase for deep-module/deletion-test opportunities and file them as vertical-slice issues, headless and delta-aware, over a whole repo or a chosen part.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Architecture analysis, code quality, and development workflow skills by Ovid
[Beta] 6つの専門エージェントチームでコードベースのアーキテクチャを多角的に分析するスキル
AI-powered codebase modernization assessment - Interactive audit and quick scan skills to identify technical debt, anti-patterns, and quality issues from older AI-generated code
Full-spectrum design patterns skill: Detect anti-patterns, diagnose architectural debt, and generate production-ready refactored code. Covers GoF, SOLID, Clean Architecture, DDD, CQRS, Microservices, and Cloud patterns.