Browse skills

Machine Learning — provides AI agent assistance for software development workflows.

Machine Learning analyzes data to identify patterns & predict outcomes, boosting insights and automating decision-making processes.

This AI acts as a Machine Learning Engineer, automating model development, deployment, and optimization for faster, data-driven solutions.

This skill assesses ML model performance across various metrics, providing insights for optimization and ensuring accurate predictions.

Adversarial Machine Learning identifies vulnerabilities in AI models by crafting malicious inputs to expose weaknesses – crucial for robust and secure systems.

This skill automates ML model deployment to various platforms, streamlining workflows and accelerating time-to-value for your AI solutions.

Provides Azure guidance and assistance for software development workflows.

Helps with machine learning, pipeline automation as part of automating DevOps pipelines and CI/CD workflows workflows.

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.