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yonatangross AI Skills

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Browse published AI skills maintained by yonatangross. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

354

Repository stars across indexed skills

26,743

Repository forks

2,189

Average repository stars per indexed skill

76

Repository stars may repeat across skills from the same repository.

354 skills

Browse skills

GitHub

mcp-advanced-patterns

yonatangross

Advanced MCP patterns for tool composition, resource management, and scaling. Build custom MCP servers, compose tools, manage resources efficiently. Use when composing MCP tools or scaling MCP servers.

GitHub

caching-strategies

yonatangross

Backend caching patterns with Redis including write-through, write-behind, cache-aside, and invalidation strategies. Use when implementing Redis cache, managing TTL/expiration, preventing cache stampede, or opt...

GitHub

multimodal-rag

yonatangross

CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.

GitHub

e2e-testing

yonatangross

End-to-end testing with Playwright 1.57+. Use when testing critical user journeys, browser automation, cross-browser testing, AI-assisted test generation, or validating complete application flows.

GitHub

outbox-pattern

yonatangross

Transactional outbox pattern for reliable event publishing. Use when implementing atomic writes with event delivery, ensuring exactly-once semantics, or building event-driven microservices.

GitHub

property-based-testing

yonatangross

Property-based testing with Hypothesis for discovering edge cases automatically. Use when testing invariants, finding boundary conditions, implementing stateful testing, or validating data transformations.

GitHub

pwa-patterns

yonatangross

Progressive Web App patterns with Workbox 7.x, service worker lifecycle, offline-first strategies, and installability. Use when building PWAs, service workers, or offline support.

GitHub

prompt-engineering-suite

yonatangross

Comprehensive prompt engineering with Chain-of-Thought, few-shot learning, prompt versioning, and optimization. Use when designing prompts, improving accuracy, managing prompt lifecycle.

GitHub

auth-patterns

yonatangross

Authentication and authorization patterns. Use when implementing login flows, JWT tokens, session management, password security, OAuth 2.1, Passkeys/WebAuthn, or role-based access control.

GitHub

golden-dataset-management

yonatangross

Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.

GitHub

rate-limiting

yonatangross

API rate limiting with token bucket, sliding window, and Redis distributed patterns. Use when implementing rate limits, throttling requests, handling 429 Too Many Requests, protecting against API abuse, or conf...

GitHub

cqrs-patterns

yonatangross

CQRS (Command Query Responsibility Segregation) patterns for separating read and write models. Use when optimizing read-heavy systems, implementing event sourcing, or building systems with different read/write...

GitHub

focus-management

yonatangross

Keyboard focus management patterns for accessibility. Covers focus traps, roving tabindex, focus restore, skip links, and FocusScope components for WCAG-compliant interactive widgets. Use when implementing focu...

GitHub

fastapi-advanced

yonatangross

FastAPI 2026 advanced patterns including lifespan, dependencies, middleware, and Pydantic settings. Use when configuring FastAPI lifespan events, creating dependency injection, building Starlette middleware, or...

GitHub

multi-agent-orchestration

yonatangross

Multi-agent coordination and synthesis patterns. Use when orchestrating multiple specialized agents, implementing fan-out/fan-in workflows, or synthesizing outputs from parallel agents.

GitHub

zero-downtime-migration

yonatangross

Safe database schema changes without downtime using expand-contract pattern and online schema changes. Use when deploying schema changes to production without service interruption.

GitHub

clean-architecture

yonatangross

SOLID principles, hexagonal architecture, ports and adapters, and DDD tactical patterns for maintainable backends. Use when implementing clean architecture, decoupling services, separating domain logic, or crea...

GitHub

owasp-top-10

yonatangross

OWASP Top 10 security vulnerabilities and mitigations. Use when conducting security audits, implementing security controls, or reviewing code for common vulnerabilities.

GitHub

defense-in-depth

yonatangross

Use when building secure AI pipelines or hardening LLM integrations. Defense-in-depth implements 8 validation layers from edge to storage with no single point of failure.

GitHub

test-data-management

yonatangross

Test data management with fixtures and factories. Use when creating test data strategies, implementing data factories, managing fixtures, or seeding test databases.

GitHub

observability-monitoring

yonatangross

Use when adding logging, metrics, tracing, or alerting to applications. Observability & Monitoring covers structured logging, Prometheus metrics, OpenTelemetry tracing, and alerting strategies.

GitHub

langgraph-supervisor

yonatangross

LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.

GitHub

type-safety-validation

yonatangross

End-to-end type safety with Zod, tRPC, Prisma, and TypeScript 5.7+ patterns. Use when creating Zod schemas, setting up tRPC, validating input, implementing exhaustive switch statements, branded types, or type c...

GitHub

github-operations

yonatangross

GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.