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ovachiever

ovachiever

371 Skills published on GitHub.

research-grants

Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

nsf-grantsnih-grantsbudget-preparationsubmission-guidelinesbroader-impacts
grant-writingView skill →

scanpy

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

single-cell-rna-seqscanpydata-analysisnormalizationclustering
bioinformaticsView skill →

reportlab

PDF generation toolkit. Create invoices, reports, certificates, forms, charts, tables, barcodes, QR codes, Canvas/Platypus APIs, for professional document automation.

pdfreport-generationdocument-automationformsbarcodes
docsView skill →

regulatory-affairs-head

Senior Regulatory Affairs Manager expertise for HealthTech and MedTech companies. Provides strategic regulatory guidance, submission management, regulatory pathway analysis, global compliance coordination, and cross-functional team leadership. Use for regulatory strategy development, submission planning, regulatory risk assessment, and team coordination activities.

regulatory-compliancestrategic-planninghealthcaresubmission-trackingteam-leadership
c-levelView skill →

scholar-evaluation

Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.

scholarly-assessmentliterature-reviewmethodology-evaluationscientific-writingevaluation-framework
researchView skill →

stripe-integration

Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.

stripepayment-gatewaysubscription-managementcheckoutwebhooks
integrationView skill →

scientific-brainstorming

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

research-ideationhypothesis-generationinterdisciplinary-researchproblem-framingresearch-gaps
researchView skill →

scientific-critical-thinking

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

scientific-rigorevidence-quality-assessmentbias-assessmentstatistical-validityexperimental-design
methodologyView skill →

scientific-writing

Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions.

IMRAD-structurecitation-stylesreporting-guidelinesscientific-publishingfigures-and-tables
researchView skill →

TanStack Table

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tanstack-tabletypescriptreactdata-gridui-components
developmentView skill →

scvi-tools

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.

single-cell-omicsscvi-toolsdimensionality-reductiondifferential-expressionmultimodal-integration
bioinformaticsView skill →

scientific-visualization

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

matplotlibseabornplotlypublication-qualityscientific-visualization
visualizationView skill →

seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

statistical-analysisdata-visualizationexploratory-data-analysispublication-qualitypython
visualizationView skill →

scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

scikit-learnsupervised-learningunsupervised-learningml-pipelineshyperparameter-tuning
machine-learningView skill →

secret-scanner

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

secrets-managementsecret-detectiongitpre-commit-checkscredentials-management
securityView skill →

senior-fullstack

Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.

reactnext.jsnodejsgraphqlpostgresqlcode-qualityarchitecture-patternsproject-scaffoldingdevelopment-workflows
full-stackView skill →

senior-data-scientist

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

statistical-modelingA/B-testingcausal-inferencepythonR
analyticsView skill →

senior-frontend

Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.

reactnextjstypescripttailwind-cssperformance-optimization
frontendView skill →

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