Rootly Graphify Importer — Development skill for Claude Code

rootly-graphify

Built on [graphify](https://github.com/safishamsi/graphify), a tool inspired by [Andrej Karpathy's LLM Wiki idea](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) — instead of rediscovering knowledge from scratch on every query, have an LLM build a persistent, structured knowledge graph that grows richer over time. Graphify takes any folder of files and turns it into a queryable graph with communities, connections, and confidence scores. This fork points it at the Rootly API.

Connect the Rootly API, collect incidents, alerts, teams, and the service catalog for a selected time window, export them into a local corpus, and turn that corpus into a queryable knowledge graph. Use `graphify rootly` for collection and `/graphify` in Claude Code or Codex when you want deeper semantic analysis on top.

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Install

**Fresh install (Graphify + Rootly importer):**

pip install "graphifyy[rootly]"
graphify install            # Claude Code
graphify install --platform codex  # Codex

**Add Rootly importer to an existing Graphify setup:**

pip install "graphifyy[rootly]" --upgrade

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Set your Rootly API key

Create a `.env` file in your project root:

ROOTLY_API_KEY=rootly_...

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Run the workflow

Step 1: Fetch and build *(terminal)*

Fetches incidents, triggered alerts, and teams. Builds the initial graph with severity colors, alert filters, and team/service layers.

graphify rootly

Non-interactive:

graphify rootly --api-key-env ROOTLY_API_KEY --days 30 --mode standard

Outputs written to `graphify-rootly-data/graphify-out/`:

• graph.html — open in browser to explore the graph
• GRAPH_REPORT.md — god nodes, communities, sugges