Marketplace Liquidity

Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill.

Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.

Help users build relationships with journalists and get press coverage. Use when someone is pitching reporters, preparing for media outreach, trying to get press coverage, or managing ongoing journalist relationships.

Help users build relationships with mentors and sponsors for career growth. Use when someone is looking for career guidance, wants to find a mentor, needs an advocate at work, is trying to build their professional network, or asking how to get advice from senior leaders.

Build and iterate playable Three.js game systems. Combines starter scaffold creation, architecture, game design, level design, gameplay implementation, combat/encounter design, and game-feel tuning (hitstop, screenshake, easing, impact feedback). Use for first playable slices, new Vite/TypeScript/Three.js game setup, design briefs, core loops, level/arena/track/wave/hole/puzzle design, game loops, entity systems, input, collision/physics, scoring, objectives, audio hooks, camera, controls, difficulty, feedback, juice, and maintainable structure.

Full Sentry SDK setup for React Router Framework mode. Use when asked to "add Sentry to React Router Framework", "install @sentry/react-router", or configure error monitoring, tracing, profiling, session replay, logs, or user feedback for a React Router v7 framework app.