Use when positioning a MobiSys submission against the mobile-systems literature — offload, on-device ML, mobile OS and runtimes, sensing…
Use when deciding whether a project belongs at MobiSys — testing whether the core contribution is a mobile or embedded system…
Helps users set up and run MobiZen-GUI to perform mobile-use tasks — automating Android phone operations via natural language.
Simulate a study section / peer review of a draft grant — score it against the funder's actual criteria and write critiques as a skeptical…
MockDeviceKit for testing without physical glasses hardware
Automate Moco tasks via Rube MCP (Composio).
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing.
Deploy GPU-enabled applications to Modal with pre-check workflow, optimization patterns, GPU pricing, WebSocket PTY best practices, and…
Comprehensive Modal.com platform knowledge covering all features, pricing, and best practices
Serverless GPU cloud platform for running ML workloads.
Automatically discover Modal platform skills when working with Modal.
Choose an ML model or provider when a user asks which checkpoint, router, local model, adapter, tokenizer, or inference backend fits a…
Use before repeatedly placing GLB models in PlayCanvas Engine, React, or Web Components to measure each asset once and record its uniform…
Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic)…
Use when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence.
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models.
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT.
Recommends where work runs and which tier and supported effort it needs, using ~/.claude/model-profiles.md.
Use when formulating the model and stating results for an Operations Research (OR) manuscript — defining the…
Refresh a user- or project-owned point-in-time guide for model prompting, benchmark-aware routing, execution lanes, and pricing when the…
When to activate: model serving, inference, FastAPI ML, BentoML, Triton, vLLM, model deployment, online inference, batching