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Modelos de Fundação Genômicos: Nucleotide Transformers, HyenaDNA e Evo com NumPy.

Next.js SEO + GEO specialist. Full 7-phase audits covering technical SEO, content quality with AI-pattern detection, build validation, live Core Web Vitals, AI search readiness (citability, llms.txt, 14 AI crawlers), schema deprecation sweep, and composite scoring. Auto-builds per-project cached profile for faster repeat audits. Trigger keywords: SEO audit, technical SEO, structured data, meta tag

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

Visual DNA Compiler -- compiles raw brand assets, character references, and style inspiration into persistent, structured identity files. Uses Gemini multimodal analysis to extract color palettes, composition rules, lighting patterns, and texture preferences. Generates tool-specific prompt fragments for Nano Banana Pro, Soul Cinema, Weavy, and ComfyUI. Inspired by Karpathy's LLM Wiki (compile-then

Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, cl

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

Avalia a economia de LLMs entre API e auto-hospedagem, e o ROI de fine-tuning, aproveitando o contexto do usuário, preços de GPU e API em tempo real, e rankings de qualidade para calcular VRAM, horas faturadas e CAPEX e assim tomar decisões ótimas.

Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.

Envie qualquer pergunta, ideia ou decisão para um conselho de 5 consultores de IA que a analisam independentemente, revisam-se anonimamente e sintetizam um veredito.

Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).