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Development AI Skills

Discover Development skills, compare source repositories and read the instructions for each workflow.

Categories: Development

Showing 67,825–67,848 of 81,978

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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.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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