probitas-info
Information about Probitas framework. Use when asked "what is Probitas", explaining its purpose, features, or comparing with other test frameworks.
Найдите подходящую возможность для вашего агента.
Information about Probitas framework. Use when asked "what is Probitas", explaining its purpose, features, or comparing with other test frameworks.
Use this skill when looking at exception reports from skyline.ms.
Generates a chronological timeline of key events, decisions, and flashpoints from a collection of documents. Use when asked to create a timeline, understand sequence of events, see what happened when, or track how a situation evolved over time.
Build responsive React dashboards with TypeScript, shadcn/ui, TanStack Query, and Supabase for event-studio. Use when user mentions dashboard, metrics, KPI cards, data tables, charts, analytics, admin panel, Recharts, event management UI, booking interface, financial overview, or asks to create pages with data visualization.
Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence in effect estimates.
ParaView scientific visualization for volume data and meshes. Use this skill when Claude needs to: (1) Visualize 3D volume data (CT, MRI, scientific simulations), (2) Create isosurfaces, slices, volume renderings, (3) Visualize vector fields with streamlines/glyphs, (4) Generate publication-quality screenshots, (5) Work with VTK, EXODUS, RAW, or other scientific data formats
Architecture design templates, mermaid diagrams, documentation patterns, and validation tools. Use when designing system architecture, creating architecture documentation, generating mermaid diagrams, documenting component relationships, designing data flows, planning deployments, creating API architectures, or when user mentions architecture diagrams, system design, mermaid, architecture documentation, or component design.
Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.
[31] ANALYZE. Universal deep thinking methodology for any situation requiring quality reasoning. Use when solving problems, debugging, making decisions, analyzing code, planning, reviewing, or anytime you need thorough thinking instead of surface-level responses. Triggers on "think deeply", "analyze thoroughly", "reason carefully", "deep thinking", "understand completely", or any task requiring careful thought.
Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML utilities (Sklearn preprocessing, metrics, splits), conformal prediction (MAPIE), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optuna, (4) Discrete/combinatorial optimization with SimAnneal, (5) Gradient boosting with XGBoost or LightGBM, (6) Probabilistic predictions with NGBoost or GP, (7) Neural networks with Torch MLP or Lightning, (8) Data preprocessing and metrics with Sklearn, (9) Conformal prediction intervals with MAPIE, (10) Model explainability with Shap.
Copilot agent for database schema design, ER diagrams, normalization, DDL generation, and performance optimization Trigger terms: database design, schema design, ER diagram, normalization, DDL, database modeling, relational database, NoSQL design, data modeling, migration plan Use when: User requests involve database schema designer tasks.
Expert assistant for monitoring and optimizing performance in the KR92 Bible Voice project. Use when analyzing query performance, optimizing database indexes, reviewing React Query caching, monitoring AI call costs, or identifying N+1 queries.
Database schema specification using Mermaid ER diagrams, table structures, constraints, and indexes for multi-tenant applications.
Single-cell analysis patterns with AnnData and Scanpy. Use when working with single-cell RNA-seq data, creating or manipulating AnnData objects, performing quality control, normalization, dimensionality reduction, clustering, or visualization of single-cell datasets.
R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.
Guides and code for creating, analyzing, and formatting spreadsheets. Use this skill to work with Excel files programmatically and apply data analysis techniques.
Specialized assistant for working with Jupyter notebooks (.ipynb files). Use for analyzing, editing, debugging, or executing code in notebooks. Helps with data analysis, machine learning, deep learning, data visualization, and scientific computing workflows. Can read notebook contents, modify cells, execute Python code in the kernel, add documentation, and troubleshoot errors.