Apply WIT (Writing Is Thinking) as a human–LLM collaborative scientific reasoning skill for scientific question formulation, finding-driven research planning, next-experiment selection, Results or Discussion review, claim–evidence and reviewer stress tests, manuscript logic audits, deadline closure, and researcher…
A skill for changing PyTorch models to run across multiple devices with pipeline and tensor parallelism. Pipeline parallelism splits model stages between devices, while tensor parallelism splits individual calculations.
A resource-search tool for finding reusable OneScience building blocks. It searches a catalogue for the most relevant scientific workflow components and returns their supporting details and usage contracts.
Run investigation cycles that test hypotheses through proof verification, counterexample search, or security analysis, with keep-or-discard discipline. Use when asked to investigate, verify, prove, or disprove claims.
Run the full Reaper research pipeline: analyze a paper (optional), review literature, formalize the problem, investigate hypotheses with critique loops, and synthesize a report. Use when given a research goal, optionally with a paper.
Search for related academic work, download and read key papers, and produce a structured literature survey. Use when asked to find prior art, related papers, competing approaches, or known results for a research topic.