<Devsly/>
NotebookLM Watermark Remover
Remove the NotebookLM watermark from PDF slide exports — free, unlimited, and 100% in your browser.
View
NotebookLM Video Watermark Remover
Remove the NotebookLM watermark from every frame of your MP4 and auto-trim the end card — free and unlimited.
View
Gemini Watermark Remover
Remove the Gemini (Veo) sparkle watermark from every frame of your AI-generated MP4 — free and unlimited.
View
MCP https://devsly.io/mcp MCP Tools Best Skills API Docs
Devsly

Keyboard Shortcuts

Navigation

Quick Search
⌘ / Ctrl + K
Toggle Dark Mode
⌘ / Ctrl + D
Close Dialogs
Esc

Tool Actions

Execute / Process
⌘ / Ctrl + Enter
Clear Input
⌘ / Ctrl + Shift + C
Copy Output
⌘ / Ctrl + Shift + X

Editor

Select All
⌘ / Ctrl + A
Undo
⌘ / Ctrl + Z
Redo
⌘ / Ctrl + Shift + Z

Updated 1d ago

by Arize-ai

arize-skills

Agent skills for Arize — datasets, experiments, and traces via the ax CLI

  • Active — Updated in the last 14 days
  • Multi-agent — Targets three or more agents
Works with
  • Claude
  • Codex
  • Cursor
View on GitHub (opens in a new tab)

64 GitHub stars (64)

+9 in 16 days

Stars gained per day · daily snapshots since Sep 30
Stars gained per day, Sep 30 to Oct 16: +9 in total; the busiest day was Oct 12 with +2 stars.Oct 1: 0 starsOct 2: +1 starsOct 3: 0 starsOct 4: 0 starsOct 5: 0 starsOct 6: 0 starsOct 7: +1 starsOct 8: 0 starsOct 9: +1 starsOct 10: 0 starsOct 11: 0 starsOct 12: +2 starsOct 13: +2 starsOct 14: 0 starsOct 15: +1 starsOct 16: +1 stars
Stars gained between daily snapshots
PeriodNew stars
Oct 10
Oct 2+1
Oct 30
Oct 40
Oct 50
Oct 60
Oct 7+1
Oct 80
Oct 9+1
Oct 100
Oct 110
Oct 12+2
Oct 13+2
Oct 140
Oct 15+1
Oct 16+1
  • 15 skills (15 skills found in its SKILL.md files)
  • 15 forks (15 forks)
  • 1d ago last update (Last updated 1d ago)

Install

Skills CLI

npx skills add Arize-ai/arize-skills

Asks which skills and agents to install. Just one: npx skills add Arize-ai/arize-skills --skill arize-admin — add -g for every project.

Claude Code

git clone https://github.com/Arize-ai/arize-skillscp -r "arize-skills/skills/arize-admin" ~/.claude/skills/

Copies the arize-admin skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add Arize-ai/arize-skills

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • arize-admin

    Manages Arize users, organizations, spaces, projects, roles, role bindings, resource restrictions, and API keys via the ax CLI. Use for enterprise admin workflows: inviting and offboarding users, onboarding new teams, creating custom roles for SAML/SSO mappings, assigning roles to users, restricting project-level access, and managing service keys for multi-tenant architectures. Covers ax users, a…

    skills/arize-admin/SKILL.md on GitHub (opens in a new tab)

  • arize-ai-provider-integration

    Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, Fireworks AI, Together AI). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credent…

    skills/arize-ai-provider-integration/SKILL.md on GitHub (opens in a new tab)

  • arize-annotation

    Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.

    skills/arize-annotation/SKILL.md on GitHub (opens in a new tab)

  • arize-compliance-audit

    INVOKE THIS SKILL when auditing an AI agent or LLM app for regulatory compliance. Covers EU AI Act, GPAI Code of Practice, GDPR, NIST AI RMF, Colorado AI Act, HIPAA, and ISO 42001. Scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces an actionable remediation checklist tailored to the selected frameworks.

    skills/arize-compliance-audit/SKILL.md on GitHub (opens in a new tab)

  • arize-dataset

    Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.

    skills/arize-dataset/SKILL.md on GitHub (opens in a new tab)

  • arize-evaluator

    Handles LLM-as-judge and code evaluator workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, code evaluator, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigge…

    skills/arize-evaluator/SKILL.md on GitHub (opens in a new tab)

  • arize-experiment

    Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.

    skills/arize-experiment/SKILL.md on GitHub (opens in a new tab)

  • arize-instrumentation-health

    Audits instrumentation health of existing Arize traces. Runs deterministic checks over a bounded span sample (orphaned/uncategorized/duplicate spans, flat structure, blank root I/O, unset status, missing token counts or children) and returns a ranked report. Use when the user asks why traces look empty/flat/broken, wants to verify instrumentation is healthy, find instrumentation issues, or why ev…

    skills/arize-instrumentation-health/SKILL.md on GitHub (opens in a new tab)

  • arize-instrumentation

    Adds Arize AX tracing to an LLM application for the first time. Detects the stack, routes to the single matching integration doc, wires auto-instrumentation after user confirmation, and verifies traces land. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

    skills/arize-instrumentation/SKILL.md on GitHub (opens in a new tab)

  • arize-link

    Generates deep links to the Arize UI for projects, traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Discovers organization and project IDs with the ax CLI and produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a project, trace, span, session, dataset, evaluator, or annotation config in the Arize…

    skills/arize-link/SKILL.md on GitHub (opens in a new tab)

  • arize-phoenix-migration

    Migrate existing Phoenix (PX) traces, datasets, experiments, and stored evaluation results into Arize AX and verify the imported records. Use when users ask to move or copy historical Phoenix data to AX; not for adding live instrumentation or exporting AX data alone.

    skills/arize-phoenix-migration/SKILL.md on GitHub (opens in a new tab)

  • arize-prompt-optimization

    Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

    skills/arize-prompt-optimization/SKILL.md on GitHub (opens in a new tab)

  • arize-prompts

    INVOKE THIS SKILL for Arize Prompt Hub and `ax prompts` workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, `{variable}` placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimiz…

    skills/arize-prompts/SKILL.md on GitHub (opens in a new tab)

  • arize-span-routing

    Use when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including register_with_routing, set_routing_context, multi-space tracing, and custom span routing.

    skills/arize-span-routing/SKILL.md on GitHub (opens in a new tab)

  • arize-trace

    Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior reg…

    skills/arize-trace/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.