Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: logging

Directorio en inglés

highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.

9.3K
Stars
76/100
Confianza
Categoría: devopsAuditoría

Real-time logging dashboard for Kubernetes. View logs in a terminal or a browser. Run anywhere - desktop, cluster, docker.

1.7K
Stars
73/100
Confianza
Categoría: devopsAuditoría

Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance through CDP, producing a structured report, cleaning up only the owned test instance, and restoring the original branch.

51K
Stars
77/100
Confianza
Categoría: researchAuditoría

🐳 Elastic Stack (ELK) v9+ on Docker with Compose. Pre-configured out of the box to enable Logging, Metrics, APM, Alerting, ML, and SIEM features. Up with a Single Command.

2.1K
Stars
74/100
Confianza
Categoría: devopsAuditoría

Automate the creation of a lab environment complete with security tooling and logging best practices

5.0K
Stars
72/100
Confianza
Categoría: devopsAuditoría

Small-code database for non-programmers. Universal UI, simple-code logic, automatic actions, access rules, logging, API and more. Quickly create a complex internal apps using the database as an interface.

984
Stars
69/100
Confianza
Categoría: productivity-automationAuditoría

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

2.8K
Stars
73/100
Confianza
Categoría: data-analysisAuditoría

A Rails agent framework for RubyLLM — define AI agents with prompts, schemas, caching, logging, cost tracking, and a built-in dashboard for monitoring LLM usage in production.

134
Stars
72/100
Confianza
Categoría: agent-frameworksAuditoría

An observability database aims to ingest, analyze and store Metrics, Tracing and Logging data.

341
Stars
69/100
Confianza
Categoría: devopsAuditoría

Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops` skill; for slog handler ecosystem → See `samber/cc-skills-golang@golang-samber-slog` skill.

3.0K
Stars
72/100
Confianza
Categoría: researchAuditoría

Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.

3.0K
Stars
71/100
Confianza
Categoría: researchAuditoría