Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis...

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis...

Master modern business analysis with AI-powered analytics,

Master modern business analysis with AI-powered analytics,

Master modern business analysis with AI-powered analytics,

Master modern business analysis with AI-powered analytics,

Guidelines for Python and Odoo enterprise application development with ORM, XML views, and module architecture best practices.

Use when migrating a dbt project from dbt Core to run on the Fusion engine.

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Prompt optimization consultant for AI system prompts and custom instructions. Supports Claude API, OpenAI API, Gemini API, CLAUDE.md, ChatGPT, and n8n. Use when user wants to improve, review, or...

This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI...

Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or...

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Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor -...

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor -...

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard),...

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard),...

Advanced NLP skill - Text classification, NER, sentiment analysis, document summarization, embeddings, and multi-language support. Use for any natural language processing task.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.