Agent skill · AI & Agents

arize-observability

Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill arize-observability --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: -Read-Write-Bash-Glob-Grep
Path: library/specializations/data-science-ml/skills/arize-observability/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# arize-observability ## Overview Arize AI skill for production ML monitoring, embedding drift detection, and comprehensive performance analysis. ## Capabilities - Production data logging - Embedding drift detection for NLP/CV models - Performance monitoring dashboards - Root cause analysis - Slice and dice analysis for segments - Bias monitoring - A/B test monitoring - Custom metrics and monitors ## Target Processes - Model Performance Monitoring and Drift Detection - ML System Observability and Incident Response - Model Evaluation and Validation Framework ## Tools and Libraries - Arize AI SDK - pandas - numpy ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["log", "monitor", "analyze", "alert-config", "compare"], "description": "Arize action to perform" }, "logConfig": { "type": "object", "properties": { "modelId": { "type": "string" }, "modelVersion": { "type": "string" }, "modelType": { "type": "string", "enum": ["score_categorical", "regression", "ranking"] }, "environment": { "type": "string", "enum": ["training", "validation", "production"] }, "dataPath": { "type": "string" }, "predictionIdColumn": { "

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Target Processes
  4. Tools and Libraries
  5. Input Schema
  6. Output Schema
  7. Usage Example
Ships with 1 file
  • README.md
More from babysitter
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About this skill
What does the arize-observability skill do?

Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill arize-observability --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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