Explorar skills

Use this skill whenever the user is building, reviewing, or preparing to launch any public-facing website or web app. SEO, LLMO, and agent-readiness are baseline requirements for every public site, not optional add-ons. Covers meta tags, Open Graph, JSON-LD structured data (including SoftwareApplication and Product types), robots.txt (including the Content-Signal directive), sitemap.xml, llms.txt

Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended interactions.

Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.

Execute e ajuste LLMs em Apple Silicon com MLX. Utilize ao trabalhar com modelos localmente no Mac, converter modelos Hugging Face para o formato MLX, ajustar com LoRA/QLoRA no Apple Silicon ou servir modelos via API HTTP.

Carrega e utiliza modelos pré-treinados com Hugging Face Transformers. Ideal para trabalhar com modelos do Hub, executar inferência com a API Pipeline, ajustar modelos com o Trainer, ou lidar com tarefas de texto, visão, áudio e multimodais.

Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.

Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.

Integre MDMA em aplicações, habilitando funcionalidades como parsing, renderização React, streaming de LLM e validação CI. Esta skill é usada para adicionar MDMA a apps, construir chats com streaming de MDMA, gerenciar prompts, validar documentos, registrar componentes ou expor MDMA a agentes.

Eino LLM/AI application development framework assistant (Golang). Use when the user needs to: (1) Build AI agents, (2) Create LLM applications, (3) Implement tool calling, (4) Build multi-agent systems, (5) Create workflows with Graph/Compose, (6) Implement streaming, (7) Human-in-the-loop patterns, or any other Eino framework development tasks. Triggers on phrases like \"Eino 开发\", \"创建 Agent\",

Clean and reshape Qualtrics conjoint exports to analysis-ready long format.

Write pre-analysis plans: PAP structure, registry, analysis strategy.

Draft a senior peer-review report on a social-science manuscript.