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⚙ Needs: a ServiceNow instance (free Personal Developer Insta…

Predictive Intelligence for ServiceNow — auto-categorization, similarity and clustering

Use ServiceNow Predictive Intelligence from the agent: sn_ml.ClassificationPredictor for auto-categorization, SimilarityPredictor for related records, ClusteringPredictor, model training/retraining, and prediction-feedback accuracy tracking

At a glance
What
Use ServiceNow Predictive Intelligence from the agent: sn_ml.ClassificationPredictor for auto-categorization, SimilarityPredictor for related records, ClusteringPredictor, model training/retraining, and prediction-feedback accuracy tracking
Cost
Free
Needs
a ServiceNow instance (free Personal Developer Instance for dev; licensed instance for production); the Serac agent tooling environment configured (snow_* tools)
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @serac-labs
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Install

Prerequisites: a ServiceNow instance (free Personal Developer Instance for dev; licensed instance for production); the Serac agent tooling environment configured (snow_* tools) Install "Predictive Intelligence for ServiceNow — auto-categorization, similarity and clustering" for me. It gives my agent @serac-labs's playbook for ServiceNow Predictive Intelligence: configuring classification solutions, getting and applying predictions via sn_ml.ClassificationPredictor, similarity and clustering predictors, model training/retraining, and prediction-feedback accuracy tracking — with the key ml_* tables and the available snow_* tools. Apache-2.0 licensed. Repository: https://github.com/serac-labs/serac/blob/main/packages/skills/predictive-intelligence/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). The skill's scripts run against a live ServiceNow instance — verify every query pattern targets expected tables and that instance credentials never appear in code. This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "predictive-intelligence". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. configure my ServiceNow instance access via the vault — never paste credentials into the skill, set up the Serac snow_* tooling, and decide whether predictions are applied automatically or reviewed first — auto-apply changes live data). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

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What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.