End-to-end flow cytometry workflow from FCS files to differential analysis. Orchestrates compensation, transformation, gating/clustering, and statistical testing with CAT — from…
Use when a hypothesis has failed and needs archiving with resurrection conditions, when reviewing dormant ideas for possible revival, when a previously-killed strategy resembles…
dacon-info 폴더를 분석해 ChatGPT Deep Research용 프롬프트 생성. "/dacon-research", "딥리서치", "deep research 프롬프트", "연구 프롬프트" 요청에 사용.
Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.
Daily research automation. Scans configured domains for actionable intelligence, filters through the weekly strategy brief for relevance, and produces a dated research report with…
Senior UI/UX Engineer for atmospheric dark luxury interfaces. Uses the full Taste Skill baseline but tunes the output for material-rich darkness, light control, and premium…
Master dark mode UI design with atmospheric theming, WCAG accessibility, and cross-platform best practices.
Develop, fix, or modify the Streamlit dashboard (dashboard/app.py). Use when changing any dashboard page, adding charts, fixing display issues, modifying KPI calculations, or…
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters.
Database access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based…
Product management data analysis skill for defining metrics, building funnels/cohorts, diagnosing growth/retention, designing experiments, and translating insights into product…
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis.
Data collection, analysis, and interpretation for scientific inquiry. Covers measurement and units, data recording and organization, descriptive and inferential statistics,…
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
Comprehensive data analysis expertise covering statistical analysis, data visualization, exploratory data analysis, hypothesis testing, machine learning, data cleaning, and data…
Your data has answers. CellCog asks the right questions. #1 on DeepResearch Bench (Feb 2026) + frontier coding agent — upload messy CSVs with minimal prompting and get structured…
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities.
Use when the task is to inspect a dataset, profile data, understand schema and grain, assess data quality, find missingness or duplicates, identify row grain, check time coverage,…
Use when extracting structured data from medical research PDFs, parsing study characteristics, patient demographics, outcomes, and results.
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or…
Complete data model reference for the School Management System. Contains all 29 entities organized into 5 domain layers (Geography, Academic Structure, School Operations,…
Identifies unusual values, unexpected patterns, and potential stories hidden in a dataset by systematically checking for statistical outliers and contextual anomalies.
Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capabilities for bioinformatics and data processing workflows
Specialista di protezione dati italiana ed europea — analizza GDPR, D.Lgs. 196/2003 (Codice Privacy come modificato dal D.Lgs.
Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work.
Infrastructure and practices for reproducible computational research. Covers environment management, data versioning, code documentation, and sharing protocols that enable others…
Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate.
Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition wit — from…
Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patterns and anomalies, and transforming raw data into…
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy.
Bundle of 50+ granular skills for Python Data Stack, SQL, Amplitude, and data engineering patterns.
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis…
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Tracks every data access request, dataset agreement, data sharing arrangement, and data source dependency referenced in research email threads — what has been requested, what has…
Catálogo centralizado de fuentes de datos confiables para el pipeline de equity research. Consultar este skill antes de generar scripts para saber exactamente dónde buscar…
Acione este esquadrão para desafios de dados e crescimento — engenharia/análise de dados, BI, dashboards, KPIs e modelos de mensuração, CLV e segmentação, experimentação de growth…
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels.
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Publication-quality visualizations for biomedical and genomics data. Use when creating volcano plots, heatmaps, UMAP plots, dot plots, survival curves, forest plots, or…
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models,…
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS,…
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptor — from…
Multi-source ML dataset discovery. Search HuggingFace Hub, OpenML, GitHub, and paper cross-references for datasets relevant to a research task.
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling.
Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you need to search the web…
Build trading systems in the style of D.E. Shaw, the pioneering computational finance firm. Emphasizes systematic strategies, rigorous quantitative research, and world-class…
MUST CHECK FIRST before DeepWiki or any external research. Local-first codebase documentation wikis. **Priority order for library/framework research**: 1.
Use when generating novel ideas, breakthroughs, concepts, product ideas, research directions, startup ideas, or creative angles in any domain that aren't already obvious.
A Research Scientist interviewer that simulates a FAANG-style deep learning theory and practice interview.
Use when reviewing, auditing, QAing, critiquing, verifying, or assessing any artifact — a spec, code change, diff, PR, research report, skill, prompt, or document.
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured…
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, veri — from…
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research — from…
Investiga documentación oficial y valida soluciones en internet antes de implementar.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research — from…
Produce an approved deep-research brief from bounded research, synthesis, and governed packaging.