tomevault-io/skills-registry - Page 181

mags-docs

List all project documents Use when this capability is needed.

mags-docs-validate

Validate project documentation Use when this capability is needed.

mags-help

Show all available MAGS commands, skills, agents, and hooks at a glance Use when this capability is needed.

mags-setup

Analyze project and recommend setup (skills, hooks, CLAUDE.md) Use when this capability is needed.

mags-status

Show project status dashboard with progress, docs health, and next steps Use when this capability is needed.

security-review

Provides security review guidance including OWASP Top 10, threat modeling, secure coding practices, and security checklists. Triggers on security, threat model, vulnerability, OWASP, authentication, authorization, encryption, secrets, security review,…

testing-strategy

Provides testing strategy guidance including test pyramid, coverage targets, test patterns, and stack-specific test tooling. Triggers on testing, test strategy, test coverage, unit test, integration test, e2e test, TDD, test pyramid, test plan, test…

implementing-accessibility

Claude implements WCAG 2.1 AA compliant web interfaces with proper ARIA, keyboard navigation, and screen reader support. Use when building accessible components or auditing existing UIs. Use when this capability is needed.

advanced-ui-design

Agency-grade interface design with systematic aesthetic framework (BEAUTIFUL → RIGHT → SATISFYING → PEAK) Use when this capability is needed.

ai-accelerators

AI hardware accelerators including GPUs, TPUs, custom silicon, and hardware-aware optimization strategies for ML workloads. Use when this capability is needed.

ai-agents

Building AI agents - tool use, planning strategies (ReAct, Plan-and-Execute), memory systems, agent evaluation. Use when building autonomous AI systems, tool-augmented apps, or multi-step workflows. Use when this capability is needed.

ai-architecture

AI application architecture - gateway, orchestration, model routing, observability, deployment patterns. Use when designing AI systems, scaling applications, or building production infrastructure. Use when this capability is needed.

ai-engineering

Building production AI applications with Foundation Models. Covers prompt engineering, RAG, agents, finetuning, evaluation, and deployment. Use when working with LLMs, building AI features, or architecting AI systems. Use when this capability is needed.

ai-integration

AI/ML model integration including vision, audio, embeddings, and RAG implementation patterns Use when this capability is needed.

ai-system-evaluation

End-to-end AI system evaluation - model selection, benchmarks, cost/latency analysis, build vs buy decisions. Use when selecting models, designing eval pipelines, or making architecture decisions. Use when this capability is needed.

api-architecture

Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling Use when this capability is needed.

deploying-to-aws

Use when working with the agent implements AWS cloud solutions with Lambda, S3, DynamoDB, ECS, and CDK infrastructure as code. Use when building serverless functions, deploying containers, managing cloud storage, or defining infrastructure as code.

implementing-better-auth

Claude implements enterprise TypeScript authentication with Better Auth. Use when building auth systems, adding OAuth providers, enabling MFA, or managing sessions in TypeScript/Next.js projects. Use when this capability is needed.

brainstorming-ideas

AI agent generates diverse solutions through structured divergent thinking and systematic exploration frameworks. Use when exploring options, solving problems creatively, or generating alternatives. Use when this capability is needed.

caching-strategies

Multi-layer caching with Redis, CDN, and browser caching for optimal application performance Use when this capability is needed.

chaos-engineering-and-resilience-testing

Use when working with the agent implements chaos engineering practices for building resilient systems. Use when testing fault tolerance, designing game days, or validating system recovery.

testingchaos-testing

Chaos engineering and fault injection patterns for testing system resilience, failure recovery, and graceful degradation Use when this capability is needed.

contract-testing

Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration. Use when this capability is needed.

managing-databases

AI agent performs database administration tasks including backup/restore, monitoring, replication, security hardening, and maintenance operations. Use when managing production databases, troubleshooting performance, or implementing high availability. Use when…

managing-database-migrations

AI agent implements safe database migrations with zero-downtime strategies, rollback plans, and expand-contract patterns. Use when creating migrations, deploying schema changes, or implementing zero-downtime database updates. Use when this capability is…

designing-database-schemas

AI agent designs production-grade database schemas with proper normalization, indexing strategies, and data modeling patterns. Use when creating new databases, designing tables, modeling relationships, or reviewing schema architecture. Use when this…

deep-learning-primer

Deep learning foundations including neural network basics, backpropagation, optimization, regularization, and training best practices. Use when this capability is needed.

implementing-defense-in-depth

AI agent designs layered security architecture with multiple independent protective barriers ensuring no single point of failure. Use when building security systems, reviewing architecture, or hardening applications. Use when this capability is needed.

deployment-paradigms

ML deployment paradigms including batch vs real-time inference, online vs offline serving, edge deployment, and serverless ML. Use when this capability is needed.

design-system-context

Automatic design system context injection for UI consistency Use when this capability is needed.

dispatching-parallel-agents

AI agent orchestrates parallel task execution through concurrent specialized agents for maximum efficiency. Use when tasks can run independently, multi-concern reviews, or parallel exploration. Use when this capability is needed.

distributed-tracing

Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design. Use when this capability is needed.

building-django-apps

Builds enterprise Django applications with DRF, ORM optimization, async views, and Celery tasks. Use when creating Python web apps, REST APIs, or full-stack Django projects.

processing-documents

Processes PDF, DOCX, XLSX, and PPTX files with extraction, generation, and batch operations. Use when building document pipelines, extracting content from office files, or generating reports. Use when this capability is needed.

dora-metrics-and-devops-performance

Use when working with the agent implements DORA metrics tracking for measuring and improving software delivery performance. Use when establishing engineering metrics, benchmarking teams, or driving DevOps transformation.

edge-deployment

Edge deployment strategies including mobile optimization, embedded systems, TFLite, Core ML, and resource-constrained inference. Use when this capability is needed.

efficient-ai

Efficient AI techniques including model compression, quantization, pruning, knowledge distillation, and hardware-aware optimization for production systems. Use when this capability is needed.

evaluation-methodology

Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models. Use when this capability is needed.

executing-plans

AI agent follows implementation plans systematically with progress tracking, quality gates, and blocker resolution. Use when implementing features, following plans, or executing tasks. Use when this capability is needed.

building-express-apis

Builds production Express.js APIs with TypeScript, middleware patterns, authentication, and error handling. Use when creating Node.js backends, REST APIs, or Express applications.