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coralogix/opentelemetry-skills

OpenTelemetry Collector deployment, instrumentation (Java/Python/Node.js/.NET/Go), and OTTL pipeline transforms for Coralogix — coralogix exporter config, Helm chart selection, Kubernetes topology, ECS/EKS/GKE deployments, SDK setup, APM transactions, and OTTL cardinality/PII/routing.

92

1.10x
Quality

96%

Does it follow best practices?

Impact

92%

1.10x

Average score across 127 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

llms.txt

Coralogix Skills

Source: https://github.com/coralogix/cx-skills Format: Agent Skills (https://agentskills.io)

What is Coralogix

Coralogix is an observability platform for logs, metrics, traces, and security data. It supports OpenTelemetry-native collection, real-time analytics, dashboards, alerting, APM, infrastructure monitoring, and archive-first log management.

What this repository provides

This repository contains agent skills: portable knowledge packages that teach AI coding agents how to work with Coralogix and OpenTelemetry. Skills provide domain-specific instructions, configuration patterns, troubleshooting flows, query examples, and best practices.

Skills are knowledge-only. To send telemetry, query data, or manage your Coralogix environment, pair them with the relevant Coralogix integrations, OpenTelemetry Collector distributions, SDKs, APIs, or platform tooling.

Available skills

OpenTelemetry:

  • opentelemetry-collector: Deploy, configure, and troubleshoot the OpenTelemetry Collector for Coralogix. Covers the coralogix exporter, domain: versus endpoint:, processor chains, agent to cluster-collector to gateway topology, the otel-integration Helm chart, ECS EC2/Fargate, standalone installs, Docker, and the universal installer.
  • opentelemetry-instrumentation: Instrument Java, Python, Node.js, .NET, and Go applications with OpenTelemetry SDKs to send traces, metrics, and logs to Coralogix. Covers OTLP exporter env vars, Coralogix auth headers, cx.application.name/cx.subsystem.name resource attributes, APM transaction samplers, Kubernetes Operator injection, and debugging missing telemetry from the SDK side.
  • opentelemetry-ottl: Write and debug OpenTelemetry Transformation Language (OTTL) statements for transform processors, filter processors, and routing connectors. Covers context selection, path expressions, error_mode, cardinality reduction, JSON body parsing, PII redaction, and span naming.

Installation

Agent Skills CLI: npx skills add coralogix/cx-skills Claude Code: claude plugin marketplace add coralogix/cx-skills then claude plugin install coralogix@cx-skills Cursor GitHub: Add https://github.com/coralogix/cx-skills from Cursor Settings -> Rules, Skills, Subagents Cursor CLI: git clone https://github.com/coralogix/cx-skills ~/.cursor/skills/cx-skills

All install paths load the same skills/**/SKILL.md directories. The .codex-plugin/, .claude-plugin/, and .cursor-plugin/ files are discovery metadata only.

Skill format

Each skill is a directory with a SKILL.md file containing YAML frontmatter and markdown instructions. Skills use progressive disclosure: the name and description are loaded first, then full instructions and references are loaded when the task activates the skill.

Naming convention

Skills use descriptive kebab-case names. OpenTelemetry skills use the opentelemetry-<domain> pattern, such as opentelemetry-collector, opentelemetry-instrumentation, and opentelemetry-ottl.

llms.txt

README.md

tessl.json

tile.json