Explorar skills

Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries. Handles multiple ID types (gene symbols, Ensembl, Entrez, UniProt), multiple organisms (human, mouse, rat, fly, worm, yeast), customizable backgr

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.

Esta skill analisa o histórico de prompts locais do Claude Code / Cursor / Codex / Copilot usando compreensão semântica de LLM para gerar um relatório de personalidade AIBTI. É ativada por frases como 'Analisar meu AIBTI', 'Testar minha personalidade de prompt', 'Escanear minha conversa', 'Que tipo sou eu' ou 'Meu perfil de conversa de IA'.

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.

Run 250+ 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

Implemente estratégias de avaliação abrangentes para aplicações LLM usando métricas automatizadas, feedback humano e benchmarking. Utilize ao testar o desempenho de LLMs, medir a qualidade de aplicações de IA ou estabelecer estruturas de avaliação.

LinkedIn + personal brand system for founders. Apply when drafting LinkedIn posts, reactions, DMs, LinkedIn About sections, or planning LLM visibility.

Expert prompt optimization for LLMs and AI systems. Use when building

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Run 250+ 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

Gere ou audite arquivos ai.txt, robots.txt (regras para rastreadores de IA), llms.txt e arquivos de exclusão TDM para sites e aplicativos web. Use esta skill sempre que o usuário mencionar ai.txt, bloqueio de treinamento de IA / rastreadores de IA, bots específicos como GPTBot, ou quiser impedir que a IA alucine sobre seu produto.

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, vector search, embeddings, semantic search, document retrieval.