Use this skill when the user asks to "set up monitoring", "configure observability", "onboard new service", "create saved view", "set up notifications", "configure webhook", "set up Slack integration", "outgoing webhook", "automation action", "webhook for alerts", "create view", "saved view", "view folder", "organize dashboards", "install integration", "configure extension", "contextual data", "connect external service", "create notification connector", "set up email alerts", "configure PagerDuty", "notification routing", "deploy extension", "test webhook", "notification preset", "test notification", "webhook actions", or wants to set up, configure, or manage the observability stack for a service or team.

Manage Coralogix SLO (Service Level Objective) definitions with the `cx slos` CLI — list and inspect SLOs, check whether targets and error budgets are healthy, and create, update, or delete SLO definitions from JSON. Use when the user asks to "list SLOs", "check SLO status", "is an SLO breaching", "error budget", "create an SLO", "update an SLO", "delete an SLO", or "service level objective".

Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`. Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.

Use this skill when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.

Use this skill when the user asks about AI Center Coding Agents data, wants to reproduce or extend the Coding Agents dashboards, or asks questions about usage, cost, tokens, sessions, tools, code impact, users, models, spans, or logs for Claude Code, Codex, Cursor, Gemini CLI, or Copilot CLI.

Triage and manage Coralogix Cases with the `cx cases` CLI — e.g. acknowledge, assign, resolve, or re-prioritize a case, or inspect its event timeline or notification deliveries.

This skill should be used whenever the user runs any cx command, uses the cx CLI, Coralogix CLI, or mentions cx in the context of Coralogix observability. This skill provides cross-cutting concerns like update notifications that apply to all cx commands.

Search and read official Coralogix platform documentation using **`cx docs search`** and **`cx docs fetch`**. Use when the user asks how Coralogix features work, how to configure or use the UI, set up integrations (OpenTelemetry, agents, collectors, webhooks), manage API keys, explore spans/traces/logs in the product, configure alerts/SLOs/dashboards, or needs authoritative product docs — not live tenant telemetry.

This skill should be used when the user asks to "manage alerts", "create alert", "list alerts", "delete alert", "check alert status", "enable alert", "disable alert", "investigate firing alerts", "check which alerts are active", "find alerting rules", "set up an alert", "configure alerting", "mute an alert", "silence an alert", "see alert definitions", "check alert priority", or wants to manage Coralogix alert definitions using the cx CLI.

Design a loss function and harness for a long-running /goal optimization run (loss-function development, LFD). Use when the user wants to set up an autonomous optimization loop, distill a product from public artifacts, turn a spec into an optimization target, or asks to design a /goal. Observes the existing environment, interrogates the task, ingests or generates the spec, builds a blinded eval, generates and verifies the harness, red-teams the target for cheats, and emits goal.md ready to launch. Re-invoke in patch mode when a running loop cheated and the loss function needs patching.

Run a prepare → review → revise pass over an agent-written user-facing output (report, status update, strategy doc, review finding, handoff, recommendation) before it is finalized. Builds a short communications brief, reviews the draft against it and against named agent-writing failure modes (assumed context, numbered references without meaning, retained rejected ideas, leaked process history, buried recommendation), then revises or flags residual risk.