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All Skills — research

10 skills in "research" matching "training"

🦀 ClawHub
Autoresearch Pilot
Guide for setting up and running Karpathy's autoresearch — autonomous AI-driven LLM training experiments. Helps write program.md, interpret results, and opti...
GitHub
Wing Chun Mastery
Scholarly techniques, training, and philosophy by [Davis](https://community.openai.com/u/BPS_Software)
🦀 ClawHub
DuckDuckGo Web Search
Search the web using DuckDuckGo. Free, no API key required. Use when the user asks to search the web, look something up, find information online, research a topic, or when you need to find current information that isn't in your training data. Also use when web_search tool is unavailable or has no API key configured.
🦀 ClawHub
kenoodl-synthesis
kenoodl is an orthogonal injection engine — it synthesizes patterns from domains outside your agent's training data and maps them onto whatever problem it's...
🦀 ClawHub
luban-cli skill
Development and management of the Luban CLI for MLOps. Use this skill when building or using the Luban CLI to manage experiment environments, training tasks, and online services.
🦀 ClawHub
Fitbot
Personal fitness coaching. Use when users ask about training, workouts, programs, progression, or fitness accountability. Onboards new users, deep-researches...
🦀 ClawHub
Weights & Biases Monitor
Monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check experiments", "loss curve", "gradient norm", "compare runs".
🦀 ClawHub
IELTS
Prepare for IELTS Academic or General Training with progress tracking, weak area analysis, band score targeting, and immigration pathway guidance.
🦀 ClawHub
Ml Experiment Tracker
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment def...
🦀 ClawHub
Ml Ops
Deep MLOps workflow—reproducible training, experiment tracking, packaging, deployment, monitoring (drift, performance), governance, and rollback for ML. Use...