#machine-learning
8 resources
Results
- optim-agent
Act as the sampler inside any coding-agent session: Claude Code, Codex, OpenCode/OpenClaw, or another agent that can read project files and run shell commands.
- retentioneering-product-analytics
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and…
- ai-research-writing-skill
End-to-end research paper generation, review, and revision for ML/AI/CV/NLP projects from repositories, notes, experiment logs, drafts, and conference…
- agentic-kaggle-skill
Kaggle-first end-to-end competition workflow for scored submissions.
- retentioneering-contributing
Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing…
- graphsignal-profiler
Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services.
- moltstream
AI agent-native streaming runtime for Kick.
- litmus
Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a…
