Agent skills for Claude Code

Audits mobile app interfaces across Flutter and React Native builds for platform conventions, responsive layouts, touch targets, and…

Demonstrate Insufficient Cryptography (OWASP Mobile Top 10 M10) during an authorized mobile assessment — showing that an app's use of…

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…

Conducts rigorous pre-filing legal reviews and simulated hearings for Korean litigation through structured legal reasoning and statutory…

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)…

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining.

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.