github-issue-planner
Analisa as issues do GitHub e as classifica por dificuldade.
Discover Tools skills, compare source repositories and read the instructions for each workflow.
Analisa as issues do GitHub e as classifica por dificuldade.
Especialista em Git, estratégias de branching, resolução de conflitos e workflows colaborativos
Especialista em otimização de queries SQL, design de banco de dados e performance tuning para PostgreSQL, MySQL e SQLite
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.
Especialista em design de APIs RESTful e GraphQL, documentação e boas práticas de arquitetura de APIs
Otimizador automático de código usando análise evolutiva GEPA para melhorar qualidade, performance e manutenibilidade
Especialista em Terraform e Infrastructure as Code para AWS, GCP, Azure e providers diversos
Systematically search hyperparameter space. Use when tuning learning rate, batch size, or other hyperparameters.
Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, NaN occurs, or convergence is poor.
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.
Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablation studies.
View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.
Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluation.
Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.
Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-optimal training, or model size decisions.
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).
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.
A conceptual skill for building an API client in Next.js that handles JWT tokens
A conceptual skill for securing FastAPI REST APIs with JWT authentication
A conceptual skill for implementing CRUD features driven by Spec-Kit and Claude Code
A conceptual skill for guiding the Spec-Kit + Claude Code development workflow
A conceptual skill for integrating Better Auth with Next.js App Router
Build production AI agents with the Claude Agent SDK. Use when working with: (1) Creating autonomous agents with query() or ClaudeSDKClient, (2) Defining custom tools via in-process MCP servers, (3) Implementin...
Trigger when user mentions GTM, Tag Manager, Enhanced Conversions, or publishing. Guide through GTM operations.
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.