Geological and planetary science advisor for Purria. Expert on meteor impact effects, ancient crater evolution, and how geological events shape landscapes over millions of years. Use when...
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat...
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat...
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Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring...
Create, manage, and optimize budgets for projects, departments, and organizations with variance tracking and scenario planning
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of...
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of...
TypeScript language expert specializing in type system, generics, conditional types, and advanced patterns. Use when writing complex types, debugging type errors, or designing type-safe APIs.
Optimize tax strategies for individuals and businesses with entity planning, deduction maximization, and compliance guidance
Analyze investment opportunities across asset classes with risk assessment, return modeling, and portfolio optimization
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing...
Use this skill when users need to validate if their business can scale, stress-test their model, or assess bottlenecks. Activates for "can this scale," "validate my business model," "what's my...
An end-to-end agentic workflow to research existing crypto projects, synthesize paradigms, generate new unique project proposals with implementation plans, and verify their uniqueness against...
Writing and maintaining GitHub issues for the tldraw repository. Use when creating new issues, editing issue titles/bodies, triaging issues, or cleaning up issue metadata (types, labels).
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to...
Generate high-quality git commit messages following Conventional Commits and Chris Beams' Seven Rules. Infers WHY from context and provides clear guidance on structure, scope, and body content.