wookat
User面向 Claude Code / Codex / Devin / Cursor 的 74+ 科研 skill 整合包：覆盖选题挖掘、撞车查新、实验执行、论文写作、审稿模拟、rebuttal、专利与成果传播的全流程 AI 科研助手，内置时序预测领域证据库（3447 篇论文统计）。整合自 ResearchStudio、ARIS、phd-skills、rosetta 等开源项目（MIT）。
Categories
Indexed Skills (50)
data-visualization
Create publication-quality figures with matplotlib/seaborn (Python) or ggplot2 (R). Covers multi-panel layouts, colorblind-safe palettes, and journal export settings.
latex-workflow
Write, compile, and submit LaTeX papers: IMRaD structure, key packages, bibliography management, arXiv preparation, and common error fixes.
meta-analysis
Use this Skill to pool effect sizes across studies: fixed/random-effects models, heterogeneity tests (I², Cochran Q), forest plot, funnel plot, Egger test, and subgroup analysis using pymare or manual computation.
ablation-planner
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Do not use for general experiment design (use experiment-design).
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews via external reviewer backend (Codex or manual), implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
claims-drafting
Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.
dse-loop
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", or wants iterative parameter tuning.
embodiment-description
Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.
experiment-queue
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.
figure-description
Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.
formula-derivation
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.
grant-proposal
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
invention-structuring
Structure a raw invention idea into a formal invention disclosure. Use when user says "构建发明", "structure invention", "发明构建", "invention disclosure", or wants to formalize a rough idea into a patent-ready structure.
jurisdiction-format
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.
mermaid-diagram
Generate Mermaid diagrams from user requirements. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.
monitor-experiment
Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.
overleaf-sync
Two-way sync between a local paper directory and an Overleaf project, so ARIS audit/edit workflows stay on the local copy while collaborators edit in the Overleaf web UI. Use when user says "同步 overleaf", "overleaf sync", "推送到 overleaf", "connect overleaf", "Overleaf 桥接", "pull overleaf", "push overleaf", or wants to bridge their ARIS paper directory with an Overleaf project.
paper-claim-audit
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. Do not use for code/data/formula verification (use paper-verification).
paper-compile
Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says "编译论文", "compile paper", "build PDF", "生成PDF", or wants to compile LaTeX into a submission-ready PDF.
paper-illustration
Generate publication-quality AI illustrations for academic papers via pluggable image backends (Gemini / OpenAI gpt-image / any OpenAI-compatible endpoint, with mermaid fallback). Creates architecture diagrams, method illustrations with Claude-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.
paper-poster-html
Build a one-off HTML single-page academic poster with measurement-driven hard gates, real paper figures, a two-hue design-token system, and print-ready PDF via headless Chromium. Use only for "HTML 单页海报" or "one-off HTML poster" requests. Do not use for general poster requests (use paper2poster).
paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "���成slides", "写演讲稿", or wants beamer slides for a conference talk.
paper-talk
End-to-end conference talk pipeline: paper → slide outline → Beamer + PPTX → per-page polish → assurance checks (claim / citation / anonymity) → final export and report. Default-good for academic conference talks (NeurIPS / ICML / ICLR / VALSE / 投稿 talks). Trigger phrases: "做 talk", "做 PPT 全流程", "talk pipeline", "end-to-end slides", "做演讲", "conference talk full workflow". Use when the user wants the complete talk artifact, not just a slide deck.
paper2assets
Extract a research paper PDF into a structured set of poster-agnostic assets reusable by any downstream renderer (paper2poster, paper2blog, paper2audio, paper2video). Produces a `<outdir>/` containing the paper's full text (assets/meta/text.txt), per-figure captions (assets/meta/captions.json), cleaned figure rasters (assets/figures/*.png + assets/meta/figures.json manifest), paper metadata (assets/meta/metadata.json: title / authors / institutes / venue / paper_url / code_url), institute logos (assets/logos/*), URL QR codes (assets/qr/*), and a 9-section structured paper summary (assets/meta/paper_spec.md). The bundle follows the Output Contract layout (deliverables at top, everything else under `assets/`). Use when the user wants to extract paper content into reusable assets, OR as the mandatory upstream stage of any paper-rendering pipeline — e.g., 'extract this paper', 'build paper assets', 'get the figures and spec from this PDF', 'paper2assets'.
paper2poster
Render a pre-extracted paper's structured 9-section spec (`paper_spec.md`) into a single-page HTML academic poster, fit the layout to the page via an iterative measured-fill loop, and export it to print-ready PDF + PNG thumbnail. Requires the upstream `paper2assets` skill to have produced the input `<outdir>/` package (`manifest.json` at the root + an `assets/` folder holding `meta/paper_spec.md`, `meta/text.txt`, `meta/figures.json`, `meta/metadata.json`, `figures/*.png`, `logos/`, `qr/`) first. Use when the user wants an HTML poster, PDF/PNG export, or PPTX from a paper they already have extracted assets for — e.g., "render the poster", "make the poster from this spec", "export poster to PDF", "paper2poster". The three skills paper2assets → paper2poster → html2pptx run in sequence, each invokable on its own.
analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results" or needs to interpret experimental data. Do not use for run-vs-run alignment and tracking (use compare).
compare
Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance. Do not use for statistical interpretation of completed result tables (use analyze-results).
dataset-curation
Use when the user wants to analyze dataset bias, create stratified samples, evaluate fairness, or plan dataset collection. Triggers on phrases like "dataset bias", "stratified sample", "class imbalance", "data distribution", "fairness analysis", or "ethical review".
debug
Evidence-before-action diagnosis of failing ML experiments. Probes the system before guessing causes, process list, dmesg, GPU stats, log scrollback, checkpoint state, then states a hypothesis as a hypothesis and runs a smoke before claiming a root cause. Use when the user asks why a run is failing, diverging, OOMing, hanging, slow, producing weird metrics, has crashed, or asks to debug, diagnose, troubleshoot, or investigate a training issue.
experiment-design
Use when the user wants to design experiments, plan ablation studies, structure baselines, or create incremental evaluation strategies. Triggers on phrases like "design ablation", "plan experiment", "what experiments should I run", "baseline comparison", or "experiment matrix". Do not use for ablation-planner requests after main results pass result-to-claim (use ablation-planner).
experiment-loop
Hypothesis-driven experiment loop with fair-comparison discipline - reproduce baselines, run minimal validation, iterate via hypothesis tree, and build the ablation/evidence base for a paper. Use when the user asks to run experiments, validate an idea, reproduce a baseline, design ablations, or improve a method iteratively. Do not use for pure idea generation (idea-mining) or paper drafting (paper-writing).
idea-critic
Judge whether a research idea contains genuine insight (vs. combinatorial stitching), passes domain-intuition sanity checks, and would survive peer review. Three-layer critique - insight tests, domain pitfall checks, multi-persona reviewer simulation - producing a structured critique card with an accept/pivot/abandon verdict. Use when the user asks to evaluate, critique, or stress-test a research idea before committing to it. Do not use for finished paper review (use reviewer-simulation) or novelty search (use scoop-check).
idea-mining
Lightweight pattern-driven research ideation with no script dependencies - generates 5-10 candidate ideas from a direction or gap matrix using proven ideation patterns, each with mechanism, falsification plan, and minimal validation experiment. Use for quick brainstorming of research ideas or when the scripted idea-spark skill is unavailable or not yet set up; prefer idea-spark for a single deeply-grounded reviewer-defensible idea card. Do not use for judging an existing idea (use idea-critic) or checking novelty (use scoop-check).
idea-spark
Generate ONE reviewer-defensible, implementable research idea with a concrete method and falsification plan from a stated research direction. Use when the user asks for a research idea, novelty analysis, bottleneck diagnosis, or paper-shape suggestion. Skip code review, debugging, and unconstrained brainstorming without research context.
latex-setup
Use when the user wants to set up or troubleshoot a LaTeX environment, choose between biber and bibtex, install packages for a specific venue template, or configure compilation. Triggers on phrases like "setup latex", "biber vs bibtex", "latex compilation error", "install latex packages", "venue template", or "texlive setup".
launch
Pre-flight checklist for long-running ML training jobs covering config diff, run naming, path verification, monitoring setup, and restart-cleanup. Use when the user asks to launch, kick off, start, restart, or kill a training run, or mentions launching a multi-hour or multi-day GPU job (python train, accelerate launch, torchrun, deepspeed, sbatch, tmux training).
paper-search
Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/search_papers.py. Use when the user asks to find papers, related work, prior art, or recent publications on a specific topic, especially when they mention a date range or specific venues like NeurIPS, ICLR, or ICML.
paper-verification
Use when the user wants to verify paper claims against code or data, audit numerical accuracy, check formula-code alignment, or validate citation accuracy. Triggers on phrases like "verify claims", "check numbers", "do the numbers match", "formula vs code", "audit the paper", or "cross-check results". Do not use for paper-only claim wording and citation audit (use paper-claim-audit).
paper-writing
Improve academic paper writing quality for ML/CV/NLP-style papers with clear section structure, paragraph flow, and reviewer-facing presentation. Use when drafting or revising Abstract, Introduction, Related Work, Method, Experiments, or Conclusion; polishing figures/tables; checking claim-support alignment; or performing self-review before submission.
paper2blog
Use when transforming an academic paper, arXiv/OpenReview PDF, conference paper, technical report, poster, slide deck, repository README, or related research materials into a bilingual editorial package for an editing team. Produces two articles by default — a Chinese WeChat public-account version (`blog_zh.docx`) and an English research-blog version (`blog_en.docx`). Use for drafting, revising, or packaging article copy, figure placement, captions, image prompts, and the final `.docx` deliverables.
html2pptx
Convert a rendered HTML page (especially A0 conference posters) into a native PowerPoint .pptx with editable text + native shapes — NOT a PNG-in-slide. Walks the live DOM via headless chromium, extracts BLOCK-level text containers (p/h1-h6/li/td) as TextBoxes with inline <strong>/<em> as mixed-style Runs, <img> as Picture with object-fit:contain respected (plus white-tile decoration under transparent-PNG logos), CSS ::before/::after generated content (e.g. 'So what →' callouts) as inherited-style runs, SVG via cairosvg rasterization, decorative <div>/<section> with bg/border/gradient/box-shadow as Rectangle/RoundedRect with matching fill (solid + linear-gradient + outer shadow). All CSS colors (including color-mix/oklab/color()) normalized via canvas. CSS hyphens:auto becomes OOXML soft hyphens via pyphen. CSS line-height absolute Pt for paragraph spacing. Native OOXML bullets with hanging indent. Optional Claude-vision fidelity auditor runs by default (toggle with `--no-vision-audit`); diffs HTML truth vs PP
arxiv-radar
Periodic literature monitoring and re-scooping check for an ongoing research project. Scans arXiv/OpenReview for new papers matching the project's topic signatures, triages threats to the project's novelty claim, and updates the domain module. Use when the user asks to check for new papers, monitor the field, re-run a novelty check on an in-progress project, or on a recurring schedule during stages 4-7 of the pipeline.
citation-audit
Zero-context verification that every cited bibliography entry is real, correctly attributed, and actually supports the sentence citing it - catching hallucinated references, wrong metadata, and wrong-context citations with per-entry KEEP/FIX/REPLACE/REMOVE verdicts. Use before any submission (paper or thesis) or when the user asks to check citations, verify references, or audit the bibliography.
cross-model-review
Fresh-context cross-model review protocol that prevents self-congratulatory score inflation - routes verdict-bearing reviews (idea critique, paper review, claim audits) to a different model or a zero-context fresh thread with a bias guard. Use when running any review/audit step of the pipeline, when the user asks for an unbiased second opinion, cross-model review, or mentions review score inflation.
deai-polish
Remove AI-flavored writing patterns from academic text (papers and theses) and reduce AIGC-detector risk while preserving technical content - sentence rhythm variation, filler-phrase removal, template-structure breaking, and Chinese academic style normalization. Use when the user asks to de-AI, humanize, polish AI-generated academic text, or prepare a thesis for AIGC detection checks.
kill-argument
Adversarial attack-defense exercise on a near-final paper - a fresh reviewer writes the single strongest 200-word rejection memo, a second fresh reviewer defends point-by-point, and an adjudicator classifies each attack point as answered / partially answered / still unresolved. Use once before submission after standard reviews have stabilized, or when the user says kill argument, hostile review, or asks what would make an area chair reject this paper.
literature-gap-mining
Systematic literature survey plus research-gap mining. Builds a structured literature table and a method-problem-dataset gap matrix, surfacing contradictions and unexplored cells that seed research ideas. Use when the user asks for a literature review, survey of a research area, "what has been done", or to find research gaps/opportunities. Do not use for checking one specific novelty claim (use scoop-check).
night-loop
Unattended overnight research iteration - runs bounded experiment/tuning loops with objective machine-checkable stop conditions, safety rules, per-iteration logging, and a morning report, while explicitly excluding verdict-bearing decisions from automation. Use when the user asks to run experiments overnight, keep iterating unattended, sweep parameters while away, or set up an autonomous research loop.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.