Anaxa

Use this skill for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a paper-backed evidence bundle instead of generic web research.

Use this skill whenever the user wants reproducible CS/AI experiments, model evaluation, regression/classification/clustering analyses, bioinformatics workflows, QC, differential expression, single-cell starter analysis, or manuscript-ready experiment bundles with scientific figures. Also use it when the user asks for heatmaps, ROC/PR curves, volcano plots, UMAP/PCA projections, or wants experimental results packaged for a paper or report.

Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity, or when a SOUL.md is missing. Also trigger for updates to an existing SOUL.md or AI personality.

Interact with MedrixFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to MedrixFlow for research/analysis, start a MedrixFlow conversation thread, check MedrixFlow status or health, list available models/skills/agents in MedrixFlow, manage MedrixFlow memory, upload files to MedrixFlow threads, or delegate complex research tasks to MedrixFlow. Also use when the user mentions medrix_flow or wants to run a deep research task that MedrixFlow can handle.

Use when the user asks for latest datasets, benchmark suites, leaderboards, baseline or SOTA comparisons, dataset selection for experiments, or evidence that a paper needs complete experimental validation. This skill routes to the dataset_benchmark_discovery tool and keeps access/license limits explicit.

Use this skill for general web research that needs current online information, multiple source angles, and synthesis, when no more specific research skill applies. Prefer academic-deep-research for scholarly literature, github-deep-research for GitHub/open-source repositories, and consulting-analysis for consulting-grade market or industry reports.

Use when the user wants to create any technical diagram - architecture, data flow, flowchart, sequence, agent/memory, or concept map - and export as SVG+PNG. Trigger on: "画图" "帮我画" "生成图" "做个图" "架构图" "流程图" "可视化一下" "出图" "generate diagram" "draw diagram" "visualize" or any system/flow description the user wants illustrated. Do not use for real data charts, statistical plots, or experiment result figures; route those to chart or validated plotting workflows.

Create distinctive, production-grade frontend interfaces with high design quality for new standalone web artifacts, pages, posters, dashboards, React components, HTML/CSS layouts, or clearly requested creative UI builds. For modifications inside an existing application or codebase, follow that project's local framework, design system, and repo instructions instead of this skill's standalone artifact requirements.

Use when the user explicitly needs MATLAB or .m scripts for local scientific computing, simulation, signal processing, image processing, statistics, or experiment reproduction. Prefer command-line MATLAB batch execution and do not imply GUI control.

Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".

Use this skill for empirical social-science research, applied economics, public policy, education, finance, management, sociology, psychology, epidemiology, or public-health data studies. It routes DID, staggered DID, IV, RDD, PSM/IPW, synthetic control, DML, causal forest, panel regression, event studies, target-trial emulation, TMLE, survival analysis, Table 1, robustness checks, heterogeneity, mechanisms, replication packages, and journal-style empirical paper outputs into MedrixFlow's research quest and experiment_lab workflows.

Use when the user wants academic writing prompts, paper polishing workflows, translation/rewrite guidance, reviewer-style paper critique, experiment write-up help, title/caption drafting, or practical AI-assisted research writing support. This skill adapts the prompt library and usage guidance curated in the awesome-ai-research-writing repository into a MedrixFlow-compatible writing workflow.

Use this skill when the user requests to generate, create, imagine, or visualize images including characters, scenes, products, or any visual content. Supports structured prompts and reference images for guided generation.

Use this skill whenever the user asks for a graphical abstract, mechanism illustration, study design schematic, concept explainer, scientific cover art, or any non-data academic image that may appear in a paper, report, poster, or slides. Always use this skill before image-generation for scientific illustrations. Do not use it for real data figures such as ROC curves, heatmaps, volcano plots, UMAPs, bar charts, or any plot that should come from validated data.

Use this skill whenever the user wants a chart, graph, plot, dashboard visual, or asks to visualize structured numbers, trends, comparisons, proportions, distributions, correlations, rankings, or flows. This skill must also trigger when the user describes a reporting need in natural language without explicitly saying "chart". It converts the request into a validated chart specification, checks that the chosen chart type actually matches the data story, and only then generates the visual.

Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.

Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact journals. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics.

Build a complete but efficient Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab meeting, department report, or academic presentation from a research paper, not only medical papers. It identifies the paper type and argument, selects only the figures needed for the story, writes Chinese slide content and speaker notes, creates the actual .pptx deck, and performs lightweight verification with cross-platform Python tooling by default.

Polish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing & Communication, with phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.

Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.

Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.