Backend skills

This skill helps you safely split large jj changesets into focused, auditable units, enabling precise commits, stacked PRs, and safer revision history.

This skill compresses images by auto-selecting the best tool to output WebP or PNG, reducing sizes while preserving quality.

This skill automatically analyzes user requests and routes to the most suitable specialist agents, delivering faster, accurate task handling.

This skill coordinates multiple specialized agents to perform comprehensive, multi-domain analysis and implementation tasks within Antigravity.

This skill helps you think through Python framework choices, async patterns, type hints, and project structure to make informed, context-driven decisions.

This skill helps you choose the right API style and design consistent, scalable responses across REST, GraphQL, and tRPC.

This skill helps you build high-performance, memory-safe Rust services and libraries using async patterns, advanced types, and production-ready tooling.

This skill helps you design MCP servers with clear tool names, structured outputs, and robust error handling for scalable AI integrations.

This skill helps you make Node.js architecture decisions by applying context-aware principles for framework choice, async patterns, security, and testing.

This skill helps you design and optimize multiplayer architecture, synchronization, and security by applying proven principles for latency, fairness, and

This skill helps you instrument, trace, evaluate, and monitor LLM applications with Phoenix for debugging, testing, and real-time observability.

This skill helps you deploy AI models efficiently on consumer hardware using GGUF quantization for flexible 2-8 bit inference.

This skill guides reinforcement learning based training of large language models using verl across PPO, GRPO, and other RL algorithms.

This skill detects prompt injections and jailbreak attempts in LLM apps, ensuring safer interactions and reliable third-party data filtering.

This skill enables fast billion-scale vector similarity with FAISS, guiding deployment, index selection, and GPU-accelerated search for high-performance

This skill helps deploy high-throughput LLM serving with vLLM, enabling OpenAI-compatible endpoints, quantization, and tensor parallelism for production

This skill helps you implement and train LLMs with LitGPT across 20+ pretrained architectures for clean, production-ready workflows.

This skill optimizes LLM inference on NVIDIA GPUs with TensorRT for maximum throughput and lowest latency in production.

This skill enforces runtime safety for LLMs with configurable jailbreaking, toxicity, PII, and fact-checking rails to improve reliability.

This skill enables efficient LLM inference on CPU and non-NVIDIA hardware, enabling edge deployment and Apple Silicon performance with GGUF quantization.

This skill helps you implement open-source embedding storage and semantic search for AI apps with RAG workflows using Chroma.