Guides experiment state transitions: launching, pausing, resuming, ending, shipping variants, archiving, resetting, and duplicating.
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities…
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away.
Full Sentry SDK setup for Elixir. Use when asked to \"add Sentry to Elixir\", \"install sentry for Elixir\", or configure error monitoring, tracing, logging, or crons for Elixir,…
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement…
Comprehensive customer feedback framework including NPS, CSAT, CES surveys, exit interviews, user research, feature request management with RICE prioritization, feedback analysis,…
Use to plan, sharpen, run, or make sense of customer discovery interviews — plan an interview (set a learning goal, choose who to talk to, write a screener, build a recruiting…
Load when the user asks about customer research, survey questions, the Billion-Dollar Data Funnel, user testing, competitor analysis, or phrases like "what should I ask…
Plan, conduct, synthesize, and review customer research and demand validation. Use when Codex is asked about customer interviews, surveys, usability studies, JTBD, buyer…
For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess…
U.S. customs and trade-law research assistant for HTS classification, CROSS ruling research, CIT/CAFC decision briefing, duty compilation (General + Special + Chapter 99 + AD/CVD…
Brazilian healthcare compliance for regulated medical and psychological content. Includes LGPD data protection, CFM/CRP/ANVISA regulatory requirements, scientific research…
Healthcare SEO strategy for Brazilian medical and wellness professionals. Includes specialized keyword research (dermatology, psychology, nutrition), professional content…
Classify problems into Cynefin Framework domains (Clear, Complicated, Complex, Chaotic, Confusion) and recommend appropriate response strategies.
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…
Use the DARE research engine to crystallize research goals, write executable research specs, and execute staged research workflows.
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 you have untargeted metabolomics mass spectrometry data (MS2 spectra with m/z values and intensities) and an existing knowledge-driven metabolite network, and you need to…
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
Use when you have raw spectroscopic datasets from heterogeneous sources (multiple Zenodo repositories with different file formats and scales) that must be jointly normalized,…
Specialista di protezione dati italiana ed europea — analizza GDPR, D.Lgs. 196/2003 (Codice Privacy come modificato dal D.Lgs.
Use when processing spectral datasets from open mass spectra libraries (OMSLs) where structural identifiers and ionization metadata are incomplete or inconsistent.
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.
Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets.
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.
Use when you have a curated relational dataset (structure-organism pairs) and need to quantify how structures distribute across a categorical variable (e.g., organism prevalence).