Turn a completed research paper into conference slides tailored to the talk format and duration. Produce a PDF, an editable PowerPoint deck, speaker notes, and a full rehearsal script with anticipated questions.
Draft detailed patent embodiments, descriptions of how to make and use an invention. It organizes components, operating steps, conditions, and alternatives, aligns figure reference numbers, and checks that each claim element has supporting text.
Audit citations in a LaTeX paper against online sources. Verify that references exist, bibliographic details are accurate, and each cited work supports the surrounding claim, then produce reports with findings and proposed corrections.
Turn a broad research direction into ranked ideas with clear hypotheses and small experiments. Survey related papers, use another model to challenge candidates, and update priorities using pilot results when suitable computing resources are available.
Understand a single arXiv paper through an AlphaXiv summary, with full text and LaTeX source available when needed. Use it to identify key findings or ask specific questions about methods, experiments, and equations.
Create a Chinese interview preparation guide for a focused machine learning or LLM topic, with formula derivations, PyTorch implementations, comparison tables, and 25 questions across three difficulty levels. The workflow reviews the content and renders it as HTML.
Check paper numbers, comparisons, and evaluation scope against raw experiment results. A fresh reviewer from a different model family examines only source evidence, then produces reports identifying rounding issues, inconsistent settings, aggregation errors, and unsupported claims.
Checks a research idea against recent literature, comparing its main claims with the closest published work. Produces a structured report explaining overlap, meaningful differences, risks, and whether to proceed, proceed cautiously, or abandon the idea.
Turn a research paper into a conference poster using HTML/CSS and figures from the paper. Check claims against evidence, measure the print layout, and produce a PDF matched to the venue’s required dimensions.
Turn method notes or figure descriptions into academic architecture and concept illustrations. Claude plans and reviews the layout, while a local Codex bridge generates images, with refinement rounds and final PNG, LaTeX snippet, and review records.
Turn a research proposal into an experiment plan tied to specific paper claims. Define comparisons, evaluation measures, tests that remove individual components, run order, and compute estimates, with a written plan and tracker for execution.
Run batches of machine learning experiments on remote GPUs over SSH, varying settings and random seeds. The skill schedules jobs, tracks progress, retries GPU memory failures, and cleans up leftover sessions before starting subsequent batches.
Redirects the retired poster command to `/paper-poster-html`, preserving all supplied arguments. It helps users accustomed to the old command reach the replacement workflow; it no longer runs the former LaTeX poster process.
Audit a paper for numerical inconsistencies and other research integrity concerns. Record findings tied to source passages, track corrections and human waivers, and translate the audit report into workflow blocking or warning decisions.
Build a PDF from a LaTeX paper, diagnose compilation errors, and repair reference or citation problems. Check the resulting layout, page count, anonymity, and embedded fonts, then report fixes and remaining warnings.
Turn descriptions of processes, systems, or schedules into Mermaid diagrams, which use text to define visuals. Save editable source, a Markdown preview, and a rendered PNG, then check syntax, arrow directions, labels, and readability.
Review communications research by searching existing libraries and notes before academic databases. Produce a paper comparison table covering methods, results, and limitations, then summarize major approaches, evidence strength, and remaining research gaps.
Create consistent paper figures and comparison tables from experiment data. The skill selects suitable chart types, saves reusable plotting scripts, prepares LaTeX insertion code, and checks rendered figures for readability and comparisons for consistency with the underlying data.
Develop robotics research ideas through literature review, feasibility filtering, novelty checks, and external critique. Get ranked proposals with specific benchmarks, comparison methods, failure metrics, and simulation-first pilot plans matched to available infrastructure.
Plan ablation studies, experiments that remove or replace parts of a machine learning method to test their contribution. Define reviewer questions, expected outcomes, priorities, execution order, and compute estimates, then implement experiments and record findings.
Compare machine learning experiment results from JSON or CSV files. Calculate improvements over a baseline, summarize variation across repeated runs, identify trends and unusual results, and suggest experiments to test possible explanations.
Apply staged improvements to skill files after explicit user selection and a fresh review by a different model family. Each applied change includes a backup, review records, and provenance details for later inspection.
Send experiment results, review scores, and requests for input to Feishu/Lark. Use it manually or from other skills, with one-way notifications or an optional connection that returns approvals, rejections, and written replies.
Turn research ideas and literature into a structured funding proposal. Supports KAKENHI and other funding programs, guiding literature positioning, research aims, methods, timelines, and budget justification, with external review to identify weaknesses in the draft.
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