What prerequisites are needed for this skill?

You need the omni CLI installed and authenticated, along with jq for processing JSON output.

What is the Omni Analytics skill used for?

It is used to monitor, debug, and analyze message flows within the Omni platform, offering tools for event replay, journey tracing, and performance metrics.

How do I trace a specific message's path?

You can use the message journey feature with a correlation ID to see the entire timeline, including latency breakdowns and any errors encountered during processing.

Does it support real-time error investigation?

Yes, it includes diagnostic patterns to search for recent errors and group them by type or stage to quickly identify the source of a problem.

Can I replay past events for testing?

Yes, the skill allows you to replay events from a specific timeframe, adjust replay speed, and perform dry runs to preview events before processing.

Omni Analytics

Name: Omni Analytics
Author: automagik-dev

byautomagik-dev

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分析と監視

Analyzes event-driven omnichannel message flows, replays historical events, and traces end-to-end message journeys via the Omni CLI.

Omni Analytics is a specialized Claude Code skill designed for the Omni v2 platform, enabling developers to monitor and debug AI agent communication across diverse messaging channels. It provides deep visibility into event lifecycles, allowing users to query performance metrics, perform message replays for regression testing, and trace specific correlation IDs to identify bottlenecks or failures in the processing pipeline. This skill is essential for maintaining high-performance omnichannel architectures by providing real-time diagnostic patterns for slow processing and error spike investigation.

主な機能

0111 GitHub stars

02Individual person event timeline visualization

03End-to-end message journey tracing via correlation IDs

04Comprehensive event analytics including success rates and processing times

05Diagnostic patterns for investigating error spikes and latency

06Historical event replay with speed multipliers for debugging and testing

ユースケース

01Identifying processing bottlenecks by tracing message latency across pipeline stages

02Investigating production error spikes by filtering and analyzing error-stage breakdowns

03Replaying specific message sequences to verify AI agent behavior after updates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add automagik-dev/omni omni-analytics

For use in Claude.ai and ChatGPT