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.
EnglishUse 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.
EnglishScaffolds the minimum repository structure required by session-orchestrator. Invoked automatically by the Bootstrap Gate when CLAUDE.md, Session Config, or bootstrap.lock is missing. Also available as /bootstrap for manual invocation. Three intensity tiers: fast (demos/spikes), standard (MVPs), deep (production/team).
EnglishUse when 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.
EnglishInteract 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 medrixflow or wants to run a deep research task that MedrixFlow can handle.
EnglishUse when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
EnglishUse 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 datasetbenchmarkdiscovery tool and keeps access/license limits explicit.
EnglishUse 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 experimentlab workflows.
EnglishUse when 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.
EnglishUse when the user wants to create any technical diagram - architecture, data flow, flowchart, sequence, agent/memory, or concept map - and export as SVG+PNG.
EnglishConduct 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.
EnglishUse 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.
EnglishPrepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
EnglishSubmission-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.
EnglishBuild 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.
EnglishPolish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English…
EnglishGenerate real audio narratives from text content using Azure OpenAI's Realtime API.
EnglishUse 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.
EnglishUse when 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.
EnglishCreate 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".
EnglishIncludes Academic Deep Research, AI Research Writing, Chart Visualization, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Academic Deep Research
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.
AI Research Writing
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.
Bootstrap
Scaffolds the minimum repository structure required by session-orchestrator. Invoked automatically by the Bootstrap Gate when CLAUDE.md, Session Config, or bootstrap.lock is missing. Also available as /bootstrap for manual invocation. Three intensity tiers: fast (demos/spikes), standard (MVPs), deep (production/team).
Chart Visualization
Use when 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.
Claude to Medrixflow
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 medrixflow or wants to run a deep research task that MedrixFlow can handle.
Consulting Analysis
Use when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
Dataset Benchmark Discovery
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 datasetbenchmarkdiscovery tool and keeps access/license limits explicit.
Empirical Research Methods
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 experimentlab workflows.
Experiment Lab
Use when 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.
Fireworks Tech Graph
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:
GitHub Deep Research
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.
Matlab Execution
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.
Nature Data
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the
Nature Figure
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.
Nature Paper2ppt
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.
Nature Polishing
Polish, restructure, or translate academic prose into Nature-leaning English using the paper-architecture and writing-strategy principles from Scientific English Writing
Podcast Generation
Generate real audio narratives from text content using Azure OpenAI's Realtime API.
Ppt Generation
Use 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.
Scientific Image Prompting
Use when 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.
Surprise Me
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".
Vercel Deploy
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a previ
Video Generation
AI video generation via Replicate — 17 models, editing, and production workflows
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Academic Deep Research skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.