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Rootly-AI-LabsRootly-AI-LabsOfficial·1 Agent Skills Included

rootly-graphify-importer

Turn Rootly incident data into queryable knowledge graphs

Collects Rootly incidents, alerts, teams, and services, then converts them into a queryable knowledge graph with communities and confidence scores. Reveals recurring failure patterns, noisy alert sources, and on-call coverage gaps without manually reading every retrospective. Produces interactive HTML maps, structured JSON, and plain-language reports so teams answer incident questions in seconds.
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npx skills add Rootly-AI-Labs/rootly-graphify-importer --all -g -y
Available:

Instructs your AI agent to consult the generated graph report before answering incident questions and walks it step-by-step through running the full extraction, clustering, and reporting pipeline.

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Rootly-AI-LabsRootly-AI-Labs

graphify

Construct knowledge graphs from structured data in local directories.

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Frequently Asked Questions

FAQPage Schema
How to install rootly-graphify-importer?▼

Run `npx skills add Rootly-AI-Labs/rootly-graphify-importer --all -g -y` in your terminal to install the skill globally.

How to analyze Rootly incidents with a knowledge graph?▼

Set your ROOTLY_API_KEY, run `graphify rootly` to export incidents and alerts, then ask your agent to run graphify on the exported folder for deep semantic analysis.

What patterns can this find in incident data?▼

It surfaces service incident heatmaps, alert-to-incident noise ratios, on-call single points of failure, and cross-service failures that share hidden infrastructure dependencies.

Does it work with Claude Code and Codex?▼

Yes. It installs as a standard skill for Claude Code, Codex, and other compatible coding agents, triggered with the /graphify command.

Does it reprocess all data on every run?▼

No. A SHA256 cache means re-runs only process new or changed files, and queries read the compact graph instead of raw incident text, saving tokens.

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