#research

Use when the user needs matplotlib data charts for a paper, academic talk or defense slides (grouped bars, ablation studies, training curves, heatmaps, multi-panel figures) exported as PNG or PDF vector files. It follows the publication styling of figures4papers (CC BY-NC 4.0, non-commercial use only): consistent fonts, colors, line widths and export settings, using only the user's data and asking first when something is unclear. Not for interactive charts such as Plotly, exploratory plotting, or 3D and map figures. Use case: Let your agent draw your experiment data as bar charts, curve plots and heatmaps that follow top-venue paper figure conventions, ready to drop into a paper.

Advanced tutorial: Install the open-source Academic Research Skills plugin in Claude Code and work through research questions, literature review and research gaps, outlines, citation checks, simulated peer review, and AI use disclosure in order, while you write the body text yourself. Includes six copy-ready prompt rounds and an explanation of why you should not use it to generate the paper directly.

X's built-in trending tab has few entries and monotonous content, and it is personalized to your interests, so it does not show the real network-wide hot topics. For occasional checks, just ask Grok directly; for high-volume needs, set up a scheduled task with the Grok bot and pair it with a subscription.

A structured brief card per company: overview, recent changes with sources, likely needs mapped to your offering, three opening questions. Produced in under two minutes, reviewed by the rep.

A report of 600 to 1,200 words with a claims table: each claim, the sources that support it, the sources that contradict it, and a confidence note. Plus a run log of every search and read.