Agent skill

Arize Observability

by majiayu000 in majiayu000/claude-skill-registry

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

Install Arize Observability

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/arize-observability .claude/skills/arize-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .claude/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-ml/arize-observability .agents/skills/arize-observability && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .agents/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-ml/arize-observability .cursor/skills/arize-observability && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .cursor/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-ml/arize-observability

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-ml/arize-observability .gemini/skills/arize-observability && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .gemini/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-ml/arize-observability .github/skills/arize-observability && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .github/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill arize-observability -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry arize-observability --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-ml/arize-observability .opencode/skills/arize-observability && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "arize-observability" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/arize-observability into .opencode/skills/arize-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-observability", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: arize-observability
GitHub stars: 666
Used in: 1 other repo
Token cost: ~996 tokens
SKILL.md length: 80 words
Files: 2
Skills in repo: 1,273
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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

Tasks that involve Observability
SKILL.md covers Overview, Capabilities, Target Processes and Tools and Libraries, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Tasks that involve Embeddings

What it does

Arize Observability is an agent skill from majiayu000/claude-skill-registry. Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in DevOps & Cloud, covering Observability and Embeddings. It works with Arize Phoenix. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

Tasks that involve Observability
Tasks that involve Embeddings

Example prompts

“/arize-observability”

Requirements

Pre-approved tools (allowed-tools): Read, Write, Bash, Glob, Grep

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Bash
- Glob
- Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Arize Observability loads about 996 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 80 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~996

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Write, Bash, Glob, Grep
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 80 words, ~996 tokens.

Download SKILL.mdSave it as .claude/skills/arize-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: arize-observability
description: Arize AI skill for production ML monitoring, embedding drift, and performance analysis.
allowed-tools: Read, Write, Bash, Glob, Grep

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": { "type": "string" },
        "timestampColumn": { "type": "string" },
        "featureColumns": { "type": "array", "items": { "type": "string" } },
        "embeddingColumns": { "type": "array", "items": { "type": "string" } },
        "predictionColumn": { "type": "string" },
        "actualColumn": { "type": "string" }
      }
    },
    "monitorConfig": {
      "type": "object",
      "properties": {
        "metrics": { "type": "array", "items": { "type": "string" } },
        "thresholds": { "type": "object" },
        "schedule": { "type": "string" }
      }
    },
    "analysisConfig": {
      "type": "object",
      "properties": {
        "analysisType": { "type": "string", "enum": ["drift", "performance", "fairness", "data_quality"] },
        "timeRange": { "type": "object" },
        "segments": { "type": "array", "items": { "type": "string" } }
      }
    }
  }
}

Output Schema

json

{
  "type": "object",
  "required": ["status", "action"],
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error"]
    },
    "action": {
      "type": "string"
    },
    "logId": {
      "type": "string"
    },
    "dashboardUrl": {
      "type": "string"
    },
    "analysis": {
      "type": "object",
      "properties": {
        "overallScore": { "type": "number" },
        "driftMetrics": { "type": "object" },
        "performanceMetrics": { "type": "object" },
        "topIssues": { "type": "array" },
        "recommendations": { "type": "array", "items": { "type": "string" } }
      }
    },
    "alerts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": { "type": "string" },
          "severity": { "type": "string" },
          "triggered": { "type": "boolean" }
        }
      }
    }
  }
}

Usage Example

javascript

{
  kind: 'skill',
  title: 'Log production predictions to Arize',
  skill: {
    name: 'arize-observability',
    context: {
      action: 'log',
      logConfig: {
        modelId: 'fraud-detector',
        modelVersion: '2.0.0',
        modelType: 'score_categorical',
        environment: 'production',
        dataPath: 'data/production_predictions.parquet',
        predictionIdColumn: 'request_id',
        timestampColumn: 'timestamp',
        featureColumns: ['amount', 'merchant_category', 'hour'],
        predictionColumn: 'fraud_probability',
        actualColumn: 'is_fraud'
      }
    }
  }
}

Files

SKILL.md and 1 other file in skills/ai-ml/arize-observability of majiayu000/claude-skill-registry.

SKILL.md
metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

a5c-ai/babysitterlibrary/specializations/data-science-ml/skills/arize-observability

Compare with similar skills

Arize Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Arize Observability compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Arize Observability this skillmajiayu000/claude-skill-registry	666	1 repos	~996	Automated safety check: Notes	MIT	today
Arize PhoenixArize-ai/phoenix	12k	1 repos	~3.8k	Automated safety check: Pass	MIT	today
Azure Mgmt Arizeaiobservabilityeval Dotnetmicrosoft/skills	3.1k	5 repos	~2k	Automated safety check: Pass	MIT	2 days ago
Caveman Gateway SetupJuliusBrussee/caveman	110k	1 repos	~2.6k	Automated safety check: Warn	Apache-2.0	today
Agent Kill Switchvivekchand/clawmetry	425	—	~1.1k	Automated safety check: Pass	MIT	today
Sls Dashboard Builderalibaba/loongsuite-pilot	198	—	~1.8k	Automated safety check: Pass	Apache-2.0	9 days ago

Similar skills

Arize Phoenix
Arize-ai/phoenix
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
12k GitHub starsUsed in 1 repo~3.8k tokens
DevOps & CloudAuto-check passed
Azure Mgmt Arizeaiobservabilityeval Dotnet
microsoft/skills
Official
Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).
3.1k GitHub starsUsed in 5 repos~2k tokens
DevOps & CloudAuto-check passed
Caveman Gateway Setup
JuliusBrussee/caveman
Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.
110k GitHub starsUsed in 1 repo~2.6k tokens
DevOps & CloudAuto-check: warnings
Agent Kill Switch
vivekchand/clawmetry
Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry.
425 GitHub stars~1.1k tokensUpdated today
DevOps & CloudAuto-check passed
Sls Dashboard Builder
alibaba/loongsuite-pilot
当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。
198 GitHub stars~1.8k tokensUpdated 9 days ago
DevOps & CloudAuto-check passed
Clawmetry Selfcheck
vivekchand/clawmetry
Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task.
425 GitHub stars~515 tokensUpdated today
DevOps & CloudAuto-check passed

Questions about Arize Observability

What does Arize Observability do?

Arize AI skill for production ML monitoring, embedding drift, and performance analysis. Arize Observability is an agent skill from majiayu000/claude-skill-registry. Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

When should I use Arize Observability?

Arize Observability fits situations like: tasks that involve Observability; tasks that involve Embeddings.

How do I install Arize Observability in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill arize-observability -a claude-code`. Or copy the skill folder (skills/ai-ml/arize-observability in majiayu000/claude-skill-registry) into .claude/skills/arize-observability in your project. Claude Code loads it when a task matches its description.

How do I install Arize Observability in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill arize-observability -a codex`. Or copy the skill folder (skills/ai-ml/arize-observability in majiayu000/claude-skill-registry) into .agents/skills/arize-observability in your project. Codex loads it when a task matches its description.

Can I use Arize Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill arize-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/arize-observability, .gemini/skills/arize-observability, .github/skills/arize-observability and .opencode/skills/arize-observability in your project.

What does Arize Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Arize Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, Grep.

Does Arize Observability access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Arize Observability safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Arize Observability use?

Arize Observability is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Arize Observability use?

About 996 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Arize Observability?

Skills that share tags, products or a category with Arize Observability: Arize Phoenix (Arize-ai/phoenix, 12k stars), Azure Mgmt Arizeaiobservabilityeval Dotnet (microsoft/skills, 3.1k stars), Caveman Gateway Setup (JuliusBrussee/caveman, 110k stars) and Agent Kill Switch (vivekchand/clawmetry, 425 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arize Observability?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Arize Observability

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

arize-observability

Overview

Capabilities

Target Processes

Tools and Libraries

Input Schema

Output Schema

Usage Example

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from majiayu000/claude-skill-registry

Related

Questions about Arize Observability