Arize Skills

Registry Snapshot

Repository

https://github.com/Arize-ai/arize-skills

Homepage

https://arize.com/docs/ax

Canonical profile

https://hol.org/registry/plugins/arize-ai%2Farize-skills

Publisher verification

No

Marketplace source

Unknown

Scanner

Broker fallback

Safety label

caution

Digest verified

Yes

Marketplace Source

Repo URL

https://github.com/Arize-ai/arize-skills

Marketplace path

Unknown

Source path

.

Install policy

Unspecified

npx skills add Arize-ai/arize-skills

• arize-admin

  skills/arize-admin/SKILL.md

  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, ax organizations, ax spaces, ax projects, ax roles, ax role-bindings, and ax api-keys.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-ai-provider-integration

  skills/arize-ai-provider-integration/SKILL.md

  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 credentials, delete integration, or connecting an LLM provider to Arize.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-annotation

  skills/arize-annotation/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-compliance-audit

  skills/arize-compliance-audit/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-dataset

  skills/arize-dataset/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-evaluator

  skills/arize-evaluator/SKILL.md

  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, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-experiment

  skills/arize-experiment/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-instrumentation-health

  skills/arize-instrumentation-health/SKILL.md

  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 evals or token/cost dashboards show n/a or zero. To debug app behavior or errors, use arize-trace.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-instrumentation

  skills/arize-instrumentation/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-link

  skills/arize-link/SKILL.md

  Generates deep links to the Arize UI for projects, traces, spans, sessions, datasets, experiments, 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, experiment, evaluator, or annotation config in the Arize UI.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-migrate-braintrust

  skills/arize-migrate-braintrust/SKILL.md

  Migrates LLM observability from Braintrust into Arize AX — historical trace import via OTLP (BT output→output.value, span_parents, one AX trace per turn + session.id), datasets, and prompts (latest or versions). Use when migrating from Braintrust to Arize or importing Braintrust logs into AX.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-migrate-langfuse

  skills/arize-migrate-langfuse/SKILL.md

  Migrates LLM observability from Langfuse into Arize AX — historical trace import via OTLP (LF output→output.value, sessionId→session.id), datasets, and prompts (latest or versions + labels). Use when migrating from Langfuse to Arize or importing Langfuse observations into AX.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-migrate-langsmith

  skills/arize-migrate-langsmith/SKILL.md

  Migrates LLM observability from LangSmith into Arize AX — historical trace import via OTLP (LS outputs→output.value, session/thread→session.id), datasets, and Prompt Hub prompts (latest or versions). Use when migrating from LangSmith to Arize, importing LangSmith runs into AX, or replacing LangSmith with Arize.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-phoenix-migration

  skills/arize-phoenix-migration/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-prompt-optimization

  skills/arize-prompt-optimization/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-prompts

  skills/arize-prompts/SKILL.md

  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-optimization. For running experiments, use arize-experiment.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-span-routing

  skills/arize-span-routing/SKILL.md

  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.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md

• arize-trace

  skills/arize-trace/SKILL.md

  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 regressions.

  PreviewCopy SKILL.mdDownloadRaw SKILL.md