Browse skills

Ralph GPU accelerates complex computations by leveraging powerful GPUs, boosting performance for demanding tasks and data processing.

PyTorch FSDP accelerates large model training by intelligently distributing data across multiple GPUs, boosting efficiency and reducing memory footprint.

This skill lets you seamlessly launch and manage RunPod cloud GPUs for AI development, accelerating your projects with powerful compute resources.

Analyzes GPU utilization and identifies performance bottlenecks during AI model training and inference tasks.

Local speech-to-text using faster-whisper — 4-6x faster than OpenAI Whisper with identical accuracy. GPU acceleration, SRT/VTT/TTML subtitles, speaker diarization, and chapter detection.

Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledge overnight, and circadian rhythm (leisure 03:00–06:00 for paper reading and creative thinking). Uses OpenClaw sessions_spawn, cron, and steer natively. Use when: (1) start or run ML research agents overnight, (2) check agent status or experiment results, (3) view leaderboard or morning digest, (4) steer or stop agents, (5) ask what agents discovered or are exploring, (6) set up Litmus for the first time. NOT for: general coding, non-ML tasks, or machines without a GPU.