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数据与 AI AI 技能

发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 数据与 AI

显示第 67,921–67,944 个,共 83,104 个

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GitHub

constituicao-federal

automacoescomerciaisintegradas

Especialista na Constituição Federal do Brasil de 1988, direitos fundamentais, organização do Estado e poder judiciário

GitHub

file-analyzer

automacoescomerciaisintegradas

Analisa arquivos e diretórios usando ferramentas MCP para fornecer insights sobre estrutura de código e projetos

GitHub

docker-expert

automacoescomerciaisintegradas

Especialista em Docker, containers e orquestração para criar, otimizar e debugar ambientes containerizados

GitHub

code-review

automacoescomerciaisintegradas

Skill para revisão de código com foco em qualidade, segurança e melhores práticas

GitHub

git-workflow

automacoescomerciaisintegradas

Especialista em Git, estratégias de branching, resolução de conflitos e workflows colaborativos

GitHub

sql-optimizer

automacoescomerciaisintegradas

Especialista em otimização de queries SQL, design de banco de dados e performance tuning para PostgreSQL, MySQL e SQLite

GitHub

webapp-testing

automacoescomerciaisintegradas

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

api-designer

automacoescomerciaisintegradas

Especialista em design de APIs RESTful e GraphQL, documentação e boas práticas de arquitetura de APIs

GitHub

code-optimizer

automacoescomerciaisintegradas

Otimizador automático de código usando análise evolutiva GEPA para melhorar qualidade, performance e manutenibilidade

GitHub

terraform-expert

automacoescomerciaisintegradas

Especialista em Terraform e Infrastructure as Code para AWS, GCP, Azure e providers diversos

GitHub

hyperparam-sweep

rHedBull

Systematically search hyperparameter space. Use when tuning learning rate, batch size, or other hyperparameters.

GitHub

train-debug

rHedBull

Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, NaN occurs, or convergence is poor.

GitHub

train

rHedBull

Execute a neural network training run with mandatory monitoring and best-practice defaults. Use when user wants to train a model, start training, or run a training job.

GitHub

experiment-plan

rHedBull

Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablation studies.

GitHub

monitor

rHedBull

View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.

GitHub

run-validation

rHedBull

Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluation.

GitHub

interpret-curves

rHedBull

Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.

GitHub

scaling-analysis

rHedBull

Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-optimal training, or model size decisions.

GitHub

typescript

Pallepadehat

TypeScript strict patterns and best practices. Trigger: When implementing or refactoring TypeScript in .ts/.tsx (types, interfaces, generics, const maps, type guards, removing any, tightening unknown).

GitHub

ai-sdk-5

Pallepadehat

Vercel AI SDK 5 patterns. Trigger: When building AI features with AI SDK v5 (chat, streaming, tools/function calling, UIMessage parts), including migration from v4.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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