技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: otel

英文目录

OpenTelemetry (Tracing + Metrics) module for Nest framework (node.js) 🔭

786
Stars
71/100
信任
分类: devops审计

AWS Distro for OpenTelemetry Collector (see ADOT Roadmap at https://github.com/orgs/aws-observability/projects/4)

749
Stars
70/100
信任
分类: devops审计

OpenTelemetry command-line tool for sending events from shell scripts & similar environments

702
Stars
69/100
信任
分类: devops审计

OTel Weaver lets you easily develop, validate, document, and deploy semantic conventions

430
Stars
70/100
信任
分类: devops审计

An idiomatic Clojure API for adding telemetry to your libraries and applications using OpenTelemetry.

230
Stars
69/100
信任
分类: devops审计

A collection of token-efficient, agent-friendly OpenTelemetry skills for AI coding agents, installable via skills.sh or Claude Code plugin marketplace.

65
Stars
65/100
信任
分类: coding-agents审计

A modular, scalable Spring Boot microservices framework for managing courses and reviews. It features OAuth 2.0 authentication via Keycloak, API management with Spring Cloud Gateway, and observability using OTel, Grafana, Loki, Tempo, and Prometheus. MongoDB and PostgreSQL handle storage, with deployments via Docker Compose and Kubernetes.

324
Stars
60/100
信任
分类: devops审计

An OpenTelemetry compatible library for instrumenting and exporting traces for Cloudflare Workers

386
Stars
65/100
信任
分类: devops审计

Investigate and reduce SigNoz telemetry ingestion cost and metric cardinality across metrics, logs, and traces. Find what drives SigNoz spend (via the Cost Meter), which metrics have runaway or unbounded label cardinality, and safe, dashboard-, alert-, and Infra-page-aware ways to cut volume. Make sure to use this skill whenever the user asks "why is my SigNoz bill so high", "what's driving my ingestion cost", "reduce telemetry volume", "which metrics cost the most", "cardinality health check", or "what can I safely drop" — or otherwise asks about telemetry spend, ingestion volume, or metric cardinality, even if they don't say "cost" or "optimize" explicitly.

15
Stars
65/100
信任
分类: automation审计

Create a new SigNoz alert rule from a natural-language intent — threshold, anomaly, log-volume, error-rate, latency, or absent-data alerts across metrics, logs, traces, and exceptions. Make sure to use this skill whenever the user says "alert me when…", "notify me if…", "set up monitoring for…", "page me on…", "create an alert for…", or asks for a new alert/notification rule, even if they don't say the word "alert" explicitly. Also use it when someone asks to be notified about error rates, latency spikes, log volume, CPU/memory pressure, or anomalous behavior on a service or host.

15
Stars
65/100
信任
分类: data-analysis审计

Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz — sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package — even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly.

15
Stars
58/100
信任
分类: data-analysis审计