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Claude Skills by Mindrally
github.com/Mindrally257 skills78 installs1,725 views
- Snowflake Cortex AiReference for Snowflake Cortex AI Functions (AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_FILTER, etc.) and Cortex Search for building RAG applications entirely inside Snowflake. Use when writing SQL that calls an LLM, classifying or extracting structured data from text, building a natural-language WHERE filter, or setting up hybrid vector+keyword search for retrieval-augmented generation.Votes: 0GitHub stars: 248
- Snowflake Data EngineeringBest practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe. Use when writing Snowflake SQL, designing ingestion or transformation pipelines, tuning warehouse performance and cost, or working with Time Travel, cloning, RBAC, or Iceberg tables on Snowflake.Votes: 0GitHub stars: 248
- Snowflake Snowpark DbtBest practices for Snowpark Python (DataFrames, UDFs, UDTFs, stored procedures) and dbt with the dbt-snowflake adapter. Use when writing server-side Snowpark pipelines, registering UDFs or stored procedures, choosing dbt materializations, configuring incremental models, or setting up sources and tests for a Snowflake-backed dbt project.Votes: 0GitHub stars: 248
- Tanstack RouterType-safe, file-based routing for React with TanStack Router. Use when defining routes with createFileRoute, validating search params with Zod, writing route loaders, setting up auth guards with beforeLoad, integrating TanStack Query into loaders, or configuring router context and preloading.Votes: 0GitHub stars: 248
- Tanstack StartBest practices for TanStack Start, the full-stack React framework built on TanStack Router and Vite/Nitro. Use when building server functions with createServerFn, setting up SSR and streaming with defer()/Await, writing API routes, configuring app.config.ts, or deploying a TanStack Start app to Node, Vercel, Netlify, Bun, or Cloudflare.Votes: 0GitHub stars: 248
- Tensorflow Deep LearningBest practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras. Use when writing tf.data input pipelines, defining or training a Keras model, configuring callbacks for checkpointing and early stopping, evaluating a trained model, or exporting a model for serving.Votes: 0GitHub stars: 248
- Vue PiniaVue 3 state management with Pinia using the Composition API, covering setup stores, SSR/Nuxt integration, persistence, and testing. Use when creating or refactoring Pinia stores, deciding what state belongs in a store versus a component, wiring stores into router guards, persisting store state to storage, or testing store actions with @pinia/testing.Votes: 0GitHub stars: 248