Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: logging

Annuaire en anglais

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

9.3K
Stars
76/100
Confiance
Catégorie: devopsAudit

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

1.7K
Stars
73/100
Confiance
Catégorie: devopsAudit

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
Confiance
Catégorie: researchAudit

🐳 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
Confiance
Catégorie: devopsAudit

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

5.0K
Stars
72/100
Confiance
Catégorie: devopsAudit

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
Confiance
Catégorie: productivity-automationAudit

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
Confiance
Catégorie: data-analysisAudit

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
Confiance
Catégorie: agent-frameworksAudit

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

341
Stars
69/100
Confiance
Catégorie: devopsAudit

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
Confiance
Catégorie: researchAudit

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
Confiance
Catégorie: researchAudit