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Skills, MCP servers, prompts, assistants and connectors. Every listing shows its author, version and the permissions it needs.
On the shelves21,000
- MCP servers18,849
- Skills1,282
- Assistants651
- Prompts218
0 items
Data analysisSpecialist assistants, also called subagents. Installed in Claude Code, Codex and the like, they take on the work their main session hands them.
- Product Analystalirezarezvani 28kProduct analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation. Use when a product question needs numbers — e.g., defining activation/retention KPIs and a dashboard spec for a new feature, or sizing an A/B test and judging whether the result is significant enough to ship.Sonnet2 skillsData analysis
- Spatial Data Scientistmsitarzewski 158kAdvanced spatial analytics specialist who applies statistical modeling, spatial econometrics, clustering, and predictive analytics to geospatial data — finding patterns that aren't visible on a map.Data analysisMaps and places
- Data Visualization Engineermsitarzewski 158kExpert data visualization engineer — chart-type selection by data and question, perceptually honest encodings, colorblind-safe data palettes, accessible and interactive charts, and rendering large datasets performantly with D3, Vega, and charting libraries.Data analysis
- Business analystwshobson· business-analytics 40kMaster modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.SonnetData analysis
- Retail Customer Returnsmsitarzewski 158kComprehensive retail customer returns specialist for processing returns, exchanges, and refunds across in-store, online, and omnichannel retail — handling policy enforcement, fraud prevention, customer retention, vendor returns, and returns analytics to maximize recovery while preserving customer loyaltyData analysis
- Data scientistwshobson· machine-learning-ops 40kExpert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.Same as sessionData analysisEducation
- Document Generatormsitarzewski 158kExpert document creation specialist who generates professional PDF, PPTX, DOCX, and XLSX files using code-based approaches with proper formatting, charts, and data visualization.DocumentsOfficeData analysis
- Analytics Reportermsitarzewski 158kExpert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.Data analysis
- Data Engineermsitarzewski 158kExpert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure. Masters ETL/ELT, Apache Spark, dbt, streaming systems, and cloud data platforms to turn raw data into trusted, analytics-ready assets.Data analysis
- Data engineerwshobson· data-engineering 40kBuild scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.OpusData analysis
- Product Orchestratoralirezarezvani· product-team 28kOutcome-first product lead. Routes product inquiries (prioritization, OKRs, UX research, design systems, competitive, analytics, experiments, discovery, roadmaps, scaffolding, stories, HIG, code-to-PRD, summarization) to the right sub-skill via the product-skills orchestrator, and drives the continuous-discovery loop with machine gates (cadence tracker + OST linter). Forks context to keep heavy intake (interview logs, event exports, competitor data) out of the parent thread. Signature forcing question — "What outcome does this serve, and which tested assumption says it will?"SonnetDesignData analysisResearch
- LinkedIn Orchestratoralirezarezvani· linkedin 28kRoutes any LinkedIn organic-growth request to the right lane and gates it against LinkedIn's User Agreement before a word is drafted. Runs the policy gate (ALLOW / CONSTRAIN / REFUSE against §8.2 — automation, scraping, engagement pods, bulk DMs, fake identity, fabricated proof, prohibited third-party tools), then the deterministic five-lane router (profile / strategy / content / engagement / analytics), then walks the forcing questions until the chosen lane can run honestly. Holds no LinkedIn credentials and sends nothing. Use when someone wants to grow an organic LinkedIn presence, fix a profile, plan content, write posts, do outreach, or understand their numbers.Opus1 skillWeb scrapingData analysisSocial media