Explore skills

Monitor running experiments, check progress, collect results. Use when user says \"check results\", \"is it done\", \"monitor\", or wants experiment output.

Search academic papers via OpenAlex API for open citation data, institutional affiliations, and funding information. Use when user says "openalex search", "search openalex", "open citation graph", or wants comprehensive academic metadata beyond arXiv/Semantic Scholar.

Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says \"审查论文数据\", \"check paper claims\", \"verify numbers\", \"论文数字核对\", or before submission to ensure paper-to-evidence fidelity.

Compile patent application into jurisdiction-specific filing format. Use when user says \"格式转换\", \"jurisdiction format\", \"国家格式\", \"compile patent\", or wants formatted patent documents for CN/US/EP filing.

Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says \"kill argument\", \"adversarial review\", \"hostile review\", \"rebuttal preparation\", \"reviewer-2 simulation\", or before submitting a theory paper that has already passe

Two-way sync between a local paper directory and an Overleaf project via the Overleaf Git bridge (Premium feature). Lets you keep ARIS audit/edit workflows on the local copy while collaborators edit in the Overleaf web UI. Token never touches the agent — user does the one-time auth via macOS Keychain. Use when user says \"同步 overleaf\", \"overleaf sync\", \"推送到 overleaf\", \"connect overleaf\", \"

Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \\\"\u7f16\u8bd1\u8bba\u6587\\\", \\\"compile paper\\\", \\\"build PDF\\\", \\\"\u751f\u6210PDF\\\", or wants to compile LaTeX into a submission-ready PDF.

Generate publication-quality figures and tables from experiment results. Use when user says \\\"\u753b\u56fe\\\", \\\"\u4f5c\u56fe\\\", \\\"generate figures\\\", \\\"paper figures\\\", or needs plots for a paper.

Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to `paper-illustration`, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Codex-supervised iterative refinement loop. Use when user says \"生成图表\", \"画架构图\", \"AI绘图\", \"paper illustration\", \"generate diagram\", or needs visual figures for papers.

Drafts structured grant proposals from research ideas and literature. It supports KAKENHI (Japan), NSF (US), NSFC (China), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.