Prepare descriptions for supplied patent drawings by identifying components, assigning reference numerals, and mapping them to claim elements. Produce a numeral index and flag missing figures or labels while leaving the original drawings unchanged.
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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.
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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.
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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.
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Improve a compiled paper through two rounds of external model review, source edits, and PDF rebuilding. Check claims against evidence, resolve inconsistencies, and refine figures and layout, with optional checkpoints and restrictions on which edits are allowed.
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Improve research through up to four rounds of external language model review, fixes, and reassessment. Use an OpenAI-compatible API to identify weaknesses, prioritize changes, and keep a cumulative record of reviewer responses, actions, and experiment results.
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Use MiniMax to review research, address weaknesses through code changes, experiments, or analysis, and request another assessment. The workflow runs up to four rounds and preserves reviewer responses, actions, results, and unresolved blockers.
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Run repeated reviews of research work, implement fixes, and request another assessment for up to four rounds by default. The workflow records progress and stops when both the review score and verdict meet its acceptance rules.
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Draft patent claims from invention disclosures, prior art reports, and novelty assessments. Create broad independent claims and narrower dependent claims, check their support in the specification, and adapt separate claim sets for China, the United States, or Europe.
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Search open-access academic papers through DeepXiv, then move from brief summaries to section outlines and individual sections. Find trending papers and focus reading on the parts needed to answer a research question.
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Turn a research experiment plan into training and evaluation code, run a small setup check, and launch GPU experiments. Collect initial metrics and update progress records so the results are ready for further review.
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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.
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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.
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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.
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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.
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Check running experiments, collect logs and result metrics, and summarize progress alongside baseline comparisons. It supports SSH servers, Vast.ai, and Modal, with optional Weights & Biases metrics and cost reporting for the supported compute services.
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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.
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Create academic architecture diagrams and method illustrations with Gemini image generation. The workflow refines layout and visual style, then uses Claude to inspect arrows, labels, and readability and guide further revisions.
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Build a paper outline from experiment results and review conclusions. Map claims to evidence, plan sections, figures, and citations, and allocate pages for the target venue, with another model reviewing the outline before it is finalized.
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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.
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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.
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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.
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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.
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Search blogs, documentation, news, and research papers with Exa, retrieving highlights, full text, or summaries alongside results. Filter by date or domain, or use a URL to discover similar pages.
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