MCP App StoreMCP App StoreLitmus coordinates multiple OpenClaw subagents that run ML experiments in parallel, each on its own git worktree branch. It captures structured experiment records, accumulates validated techniques into a shared skills library, and synthesizes overnight results into a research agenda and morning digest. The Director steers agents and the Synthesizer distills learnings.
Use Litmus to run large-scale GPU experiments unattended (overnight research), to maintain reproducible experiment history via git branches, or to automate daily synthesis and reporting of ML findings. Not suitable for machines without GPUs or for simple one-off experiments.
Designed for OpenClaw-native subagents and orchestration; compatible with code-capable assistants that can manage cron, git worktrees, and sessions_spawn (OpenClaw).
This skill has not been reviewed by our automated audit pipeline yet.
Starlark Dev
Create, debug, and test Kurtosis Starlark packages — write package structure, run dry-runs, and inspect plan execution for reliable orchestration.
Maestro Orchestrate
Orchestrates complex engineering workflows with enforced design and approval gates, child-agent delegation, and session state management.
Run Execute
Orchestrates execution of work items across modes (autopilot, confirm, validate) with scripted init/complete tooling, plan/test/report artifacts and strict gati
arxiv2md
Convert arXiv papers into clean, LLM-ready Markdown via a REST API or CLI for fast reading, summarization, and downstream processing.
JJ Hunk
Programmatic hunk selection for Jujutsu (jj): list, split, commit, or squash specific hunks to enable partial commits and fine-grained history editing without a
Overnight — Autonomous Long-Running Coding
Orchestrates long-running coding goals: decomposes objectives into atomic tasks, dispatches isolated worktree workers, verifies acceptance criteria, and merges
Scite Database (Smart Citations)
Query Scite.ai Smart Citations by DOI to report supporting, contrasting, and mentioning citation counts and help assess a paper's reliability.
Writing Implementation Plans
Generate detailed, engineer-ready implementation plans from design docs: file paths, step-by-step tasks, tests, and verification instructions.
