> System architecture design and review. Use when designing architecture, evaluating microservices vs monolith, writing ADRs, choosing a database, planning for scalability, reviewing system design, or generating architecture diagrams.
npx skills add https://github.com/borghei/Claude-Skills --skill senior-architect
Architecture design and analysis tools for making informed technical decisions: visualize system structure, analyze dependencies and coupling, detect architectural patterns, and run decision workflows for databases, patterns, and monolith-vs-microservices trade-offs.
Before generating diagrams or an assessment, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|------|---------|---------|
| architecture_diagram_generator.py | Generate component/layer/deployment diagrams from project structure | python scripts/architecture_diagram_generator.py ./project --format mermaid --type component |
| dependency_analyzer.py | Score coupling and find circular dependencies across package managers | python scripts/dependency_analyzer.py ./project --output json --check circular |
| project_architect.py | Detect architecture pattern, layer violations, and code smells | python scripts/project_architect.py ./project --check layers --verbose |
Run any script with --help for full flags.
Load the reference that matches the task — keep this file lean and pull detail on demand:
Covers: system-level architecture analysis (pattern detection, layer validation, component diagramming) for existing codebases; technology-agnostic dependency analysis across npm, pip, Poetry, Go modules, and Cargo; architecture decision workflows (database, pattern, monolith-vs-microservices); diagram generation in Mermaid, PlantUML, and ASCII.
Does NOT cover:
senior-devops (capacity planning) and senior-qa (performance test harnesses).senior-security or senior-secops for CVE/SAST/DAST.senior-frontend and design-auditor.senior-devops and release-orchestrator.| Skill | Integration | Data Flow |
|-------|-------------|-----------|
| senior-backend | Architecture patterns inform backend service boundaries and API contract design | Architect assessment output (detected pattern, layer assignments) feeds into backend module scaffolding |
| senior-devops | Deployment diagrams and technology detection drive infrastructure-as-code decisions | Deployment diagram type output + detected technologies list consumed by DevOps for Terraform/K8s config |
| senior-security | Dependency analysis surfaces packages that need security review | Dependency list JSON (--output json) passed to security scanning for CVE correlation |
| senior-fullstack | Architecture pattern selection determines which fullstack scaffold template to use | Pattern selection workflow result (e.g., modular monolith) maps to project_scaffolder.py --type flag |
| code-reviewer | Layer violation and god-class findings become review checklist items | project_architect.py --output json issues array integrated into code review checklists |
| tech-stack-evaluator | Technology detection results feed tech stack evaluation for upgrade/migration decisions | Detected technologies list and dependency versions inform stack evaluation decision matrices |
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.
>- Configures GKE Backup Plans and restore workflows. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.
Creates explicit validation checkpoints (verification gates) between project phases to catch errors early and ensure quality before proceeding. Use when the user asks about quality gates, milestone checks, phase transitions, approval steps, go/no-go decision points, or preventing cascading errors across a multi-step workflow. Produces acceptance criteria checklists, automated CI gate configurations, manual sign-off requirements, and conditional review rules for scenarios such as security changes, API changes, or database migrations.
Unified CloudBase execution guide for all-in-one skill installs. Use this first for CloudBase app tasks, especially existing apps with TODOs, fixed pages, or active handlers. Routes PostgreSQL / CloudBase PG / app.rdb() / queryPgDatabase / managePgDatabase work away from legacy NoSQL and old auth patterns.
Implement, review, or improve data persistence using SwiftData. Use when defining @Model classes with @Attribute, @Relationship, @Transient, #Unique, or #Index; when querying with @Query, #Predicate, FetchDescriptor, or SortDescriptor; when configuring ModelContainer and ModelContext for SwiftUI or background work with @ModelActor; when planning schema migrations with VersionedSchema and SchemaMigrationPlan; when setting up CloudKit sync with ModelConfiguration; or when coexisting with or migrating from Core Data.
Plan and run backups, set recovery objectives, and run disaster recovery drills. Use this skill when defining RPO/RTO targets, designing backup architecture, deciding what to back up and how often, planning for full-region or platform outages, or running a restoration drill. Triggers on backup, restore, RPO, RTO, disaster recovery, DR, business continuity, what if the database is gone, what if our hosting goes down, recovery drill, ransomware planning. Also triggers when an incident reveals a gap in restoration capability.
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.
This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferences (allergies, dietary restrictions, goals, likes/dislikes) and stores them in a persistent database. All subsequent food-related responses are personalized based on these stored preferences.
Take borghei/senior-architect from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.