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: troubleshooting

Directorio en inglés
Cli75

A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.

30K
Stars
75/100
Confianza
Categoría: utilityAuditoría

SadServers: Linux & DevOps Troubleshooting Scenarios SaaS

2.8K
Stars
74/100
Confianza
Categoría: devopsAuditoría
Khi77

A log viewer for Kubernetes troubleshooting

2.1K
Stars
77/100
Confianza
Categoría: devopsAuditoría

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

3.2K
Stars
83/100
Confianza
Categoría: developmentAuditoría
St282

StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html

6.5K
Stars
82/100
Confianza
Categoría: automationAuditoría

Develop, fix, and profile Cherry Studio in a tracked Electron instance. Use for everyday implementation, UI and interaction work, bug fixing, runtime debugging, DevTools inspection, lag or jank investigation, CPU and memory monitoring, leak checks, and startup-performance analysis; reuse a verified workspace instance across instructions and launch or replace one only when required.

51K
Stars
79/100
Confianza
Categoría: researchAuditoría

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

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría

Tanel Poder's Performance & Troubleshooting Tools for Oracle Databases

724
Stars
66/100
Confianza
Categoría: data-analysisAuditoría

Observability & Troubleshooting for Kubernetes Services

516
Stars
71/100
Confianza
Categoría: devopsAuditoría

Golang concurrency patterns. Use when writing or reviewing concurrent Go code involving goroutines, channels, select, locks, sync primitives, errgroup, singleflight, worker pools, or fan-out/fan-in pipelines. Also triggers when you detect goroutine leaks, race conditions, channel ownership issues, or need to choose between channels and mutexes.

3.0K
Stars
74/100
Confianza
Categoría: coding-agentsAuditoría