Loading...
Loading...
Found 2 Skills
This skill should be used when the user asks to "update study", "analyze new experiments", "update experiment document", or "refresh study notes". Produces academic-paper-quality experiment reports with matplotlib plots, executive summary with comparison tables, implementation structure, experimental results with figure interpretation, proposed improvements with code examples, hypotheses, limitations, and LaTeX PDF export with figures. Features incremental detection (only analyze NEW experiments), data extraction to DataFrame, automated plot generation, iterative writing improvement loop with quality criteria, zero-hallucination verification, and LaTeX PDF export. Usage - `/update-study logs/experiment.log study.md` or `/update-study "logs/exp1.log logs/exp2.log" results/ablation_study.md`
Gather project context before drafting an ADR — business domain, system landscape, existing ADRs, related repos, LikeC4 model. Run BEFORE draft-adr when the architect is new to the system or context is thin. Back-and-forth Q&A with zero hallucination; every fact confirmed by the human before it counts.