Empower your coding agent with the decision intelligence capabilities of RelationalAI.
Skill Claude CodeCodex
Bumps the plugin version across manifest files, commits, and creates a local git tag for rai-agent-skills. Pushing and publishing the GitHub release happen separately, under human review. Use when cutting a release.
Skill Claude CodeCodex
Reviews RAI agent skills for structure, content quality, prompt engineering, boundaries, examples, and agent usability. Use when creating, reviewing, or auditing skills in rai-agent-skills or rai-agent-skills-private.
Plugin Claude Code
RelationalAI semantic models and advanced reasoners.
Skill Claude CodeCodex
Take a built RelationalAI model to production — deploy it into a Snowflake schema and version it through the op log (branch, collaborate, merge, and tear down with the rai models CLI), or deploy it as a Snowflake CoWork (Cortex) agent. The one path-to-prod skill across deployment targets. Use when deploying a model…
Skill Claude CodeCodex
Translation, ideation, and routing layer between an ontology and the RAI reasoners. Surfaces questions the data can answer, classifies them by reasoner family (prescriptive, graph, predictive, rules), and translates user-facing problem framings into the technical implementation hints the downstream reasoner skills…
Skill Claude CodeCodex
Graph algorithm selection and execution on PyRel v1 models — construction from ontology patterns, parameter tuning, and result extraction. Use for questions about a network's structure — centrality and importance, community detection, connectivity and components, reachability and dependencies, shortest paths and…
Skill Claude CodeCodex
Guides diagnosis of RAI engine performance, failed transactions, CDC/data-stream health, and CDC engine management. Use when a reasoner is slow or queuing, a transaction or batch has failed, a CDC stream is suspended or quarantined, or CDC engine sizing/recovery is needed.
Skill Claude CodeCodex
Builds and evolves RAI ontologies — greenfield starter builds from Snowflake tables or local data, and all domain-modeling decisions (concepts, relationships, identity, subtypes, data mapping, layering, enrichment). Use when creating a new RAI model, starting a proof of concept, onboarding a dataset, or reviewing and…
Skill Claude CodeCodex
Build graph neural network (GNN) models — concepts, Snowflake data loading, task relationships, graph edges, and PropertyTransformer features. Use for node classification, regression, and link prediction tasks; for training, predictions, and evaluation, see rai-predictive-training.
Skill Claude CodeCodex
Configure and train graph neural network (GNN) models, generate predictions, evaluate results, and manage trained models. Use when ready to train, generate predictions, evaluate, or manage models; for concepts, data loading, edges, and feature configuration, see rai-predictive-modeling.
Skill Claude CodeCodex
Formulates optimization and constraint-satisfaction problems from ontology models — decision variables, constraints, objectives, problem-type classification, solver selection, global constraints, and pre-solve validation. Use when building, reviewing, debugging, or relaxing a formulation, through the point where a…
Skill Claude CodeCodex
Runs optimization solves and interprets the output — solve execution and parameters, diagnostics requests (sensitivity, conflict / IIS), status codes, solution extraction, quality assessment, sensitivity analysis, infeasibility diagnosis, and stakeholder explanation. Use when executing a formulated problem or…
Skill Claude CodeCodex
PyRel v1 language — modeling syntax (concepts, properties, relationships, data loading), business rules as derived properties (validation, classification, tiers, flags), and query construction against relationalai.semantics.Model (selects, filters, joins, aggregates, export). Load BEFORE writing any PyRel code, even…
Skill Claude CodeCodex
Setup and configuration for RelationalAI — first-time install walkthrough and all raiconfig.yaml tuning. Use when installing RAI, connecting to Snowflake, running RAI locally on DuckDB for development, or editing raiconfig.yaml. Not for writing PyRel model code (see rai-pyrel) or solver usage and diagnostics (see…
At most 3 mods per repository are shown here — the rest are on their repository pages: