arize-instrumentation

Installation
SKILL.md

Arize Instrumentation Skill

Add Arize AX tracing to an app for the first time: detect the stack → fetch the one matching integration doc → wire auto-instrumentation → verify a trace lands.

Route locally. Map the detected stack to a single doc page via references/integration-routing.md (exhaustive for tracing integrations) and fetch only that page. When the app uses an agent framework, route on the framework, not the provider SDK it wraps — a bare openai/anthropic import inside a framework app is not the integration target; route to a provider page only when the app calls the provider SDK directly with no framework in play. If the stack isn't listed there, it has no dedicated integration — use manual instrumentation. Never bulk-fetch the PROMPT.md/llms.txt aggregates.

Rules: inspect before mutating; tracing is additive, never change business logic; follow existing style; no secrets in code and never ask the user to paste secrets (API keys, tokens) into the chat -- reference ARIZE_API_KEY/ARIZE_SPACE_ID env vars only, set by the user in their own .env/shell; preserve or ask for the app's Arize region/export endpoint instead of assuming US -- see references/regions-and-endpoints.md; ask before persistent local state (ax profiles, .zshrc, env vars) -- see references/ax-profiles.md.

Phase 1: Analysis (read-only — no code/files)

Detect from manifests + imports: language, package manager, LLM providers, frameworks, existing tracing (TracerProvider, register(), ARIZE_*/OTEL_*, Datadog/Honeycomb), existing Arize endpoint/region config (ARIZE_COLLECTOR_ENDPOINT, an in-code Arize endpoint option, or an OTEL_EXPORTER_OTLP_ENDPOINT confirmed to target Arize), and whether the app runs tools / an agent loop (manual CHAIN/TOOL spans only if the matched framework instrumentor doesn't already cover them — decided in Phase 2). Confirm scope first — a monorepo, multiple services, or multiple frameworks needs a "which one?" question before touching anything; don't pick for the user.

Output a short summary (stack, proposed integration, existing tracing, scope). If the target is clear and the user asked to instrument now, continue; if ambiguous or analysis-only was requested, stop and confirm.

Phase 2: Implementation (after the target is confirmed)

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Mar 10, 2026
arize-instrumentation — arize-ai/arize-skills