Arize-ai

Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration

Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI). Use this skill when writing or modifying Python server code in the phoenix repo — adding mutations, types, migrations, or tests. Trigger on…

Build and run evaluators for AI/LLM applications using Phoenix.

REST API development for Phoenix. Use when adding, modifying, or reviewing endpoints in src/phoenix/server/api/routers/v1/.

Audit recent changes to Phoenix's user-facing surfaces (Python clients, TypeScript clients, CLI, REST/GraphQL APIs) and patch the three external-facing agent skills — `phoenix-tracing`, `phoenix-cli`, and `phoenix-evals` — so they stay in sync with what…

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Development guide for the @arizeai/phoenix-client TypeScript SDK — run and resume experiments, manage OpenTelemetry tracer providers with stack-based attach/detach, and write vitest unit and integration tests. Use when adding features to phoenix-client,…

Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack. Use for stack creation, viewing, edits, push, submit, sync, rebase, merge, or checkout; when asked to split or isolate work for review; whenever a user mentions a stack,…

Attach Agent-as-a-Judge (AaaJ / harness) evaluators to any Arize AX Wonder Toys project and trigger a one-time backfill. Reads scoring instructions from evals/aaaj/*.md and creates evaluators + tasks via GraphQL (REST and the ax CLI cannot create harness…

Run a public-flow Playwright smoke test against a freshly-built framework tier's Next.js frontend. Covers home page rendering and product browsing. The Playwright project (package.json, config, tests) lives inside this skill directory and is checked into the…

Add a new agent framework to the Rosetta Stone repo — researches the framework, builds all three observability tiers (no-observability, phoenix, ax), tests each, runs a Playwright smoke against the UI, updates README + TODO, and raises a PR. Trigger when the…

Build a single tier (no-observability, phoenix, or ax) for a new framework. Clones the closest existing tier, swaps in framework-specific agent.py / tools.py / requirements.txt, and (for observability tiers) adds tracing.py + main.py wiring + eval-harness…

Find and update out-of-date OpenAI and Anthropic model references (in docs, MDX, notebooks, and code) to the latest size-equivalent models, and apply the code changes each new generation requires (e.g. max_tokens → max_completion_tokens for GPT-5). Use when…

Capture AX trace UI, Phoenix trace UI, and Wonder Toys app UI screenshots for a framework's PR, then upload as GitHub release assets and embed in the PR body. Called automatically by rosetta-add-framework-docs as part of new-framework PRs; can also be invoked…

Finalise a newly-added framework — updates the README's supported-frameworks table, directory tree, and per-framework "what differs" section, marks off the framework in the orchestrator skill's embedded TODO, commits per tier, and raises a PR. Part of the…

Refresh the list of agent frameworks supported by Arize tracing and diff against what's already in the repo. Pulls live data from https://arize.com/docs/llms.txt and produces a clean to-do list. Part of the rosetta-add-framework flow; can also be invoked…

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…

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…

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). Use when…

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,…

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…

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…

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,…

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…

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing…

Set up and configure Arize tracing for Google Antigravity CLI/IDE sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for Antigravity, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up antigravity tracing",…

Set up and configure Arize tracing for opencode terminal coding sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for opencode, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up opencode tracing",…

Set up and configure Arize tracing for Claude Code sessions or Agent SDK applications. Use when users want to set up tracing, configure Arize AX or Phoenix, create a new Arize project, get an API key, enable/disable tracing, or troubleshoot tracing issues.…

Set up and configure Arize tracing for Cursor IDE sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for Cursor, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up cursor tracing", "configure Arize for…

Set up and configure Arize tracing for Oh My Pi (omp) terminal coding sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for Oh My Pi, enable/disable omp tracing, or troubleshoot tracing issues. Triggers on "set up omp tracing",…

Set up and configure Arize tracing for OpenAI Codex CLI sessions. Use when users want to set up Codex tracing, configure Arize AX or Phoenix for Codex, enable/disable tracing, or troubleshoot Codex tracing issues. Triggers on "set up codex tracing",…

Set up and configure Arize tracing for GitHub Copilot sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for Copilot, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up copilot tracing", "configure Arize…

Investigate and propose fixes for Python canary cron failures in the openinference repo. Use when the user mentions Python canary failures, Python cron failures, or when the auto-fix CI job reports Python instrumentation canary issues.

Run, interpret, and iterate on the OpenInference GenAI conformance MVP at python/openinference-instrumentation/scripts/conformance/. Use when the user mentions GenAI conformance, OTel GenAI semantic conventions, Weaver registry live-check, the dual-write…

Keep hand-written docs/ documentation in JS packages accurate and up to date with their source code. Use this skill whenever: (1) source files in a JS package that has a docs/ folder are modified — especially exports, function signatures, types, or public API…

Review Java OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Java instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing…

Review Python OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Python instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing…

Set up and configure Arize tracing for Claude Code sessions or Agent SDK applications. Use when users want to set up tracing, configure Arize AX or Phoenix, create a new Arize project, get an API key, enable/disable tracing, or troubleshoot tracing issues.…

Manage datasets in Arize AI using the ax CLI. Use when users want to list datasets, get dataset details, create new datasets, delete datasets, export dataset data, or work with dataset examples. Triggers on "list datasets", "create dataset", "ax datasets",…

Manage projects in Arize AI using the ax CLI. Use when users want to list projects, get project details, create new projects, delete projects, or organize work within Arize spaces. Triggers on "list projects", "create project", "ax projects", "delete…

Use when testing an already-running Claude collector by sending a live marker trace to its configured OTLP endpoint without starting a second collector.

Use when validating Claude Code telemetry setup for this collector, especially to confirm Claude emits OTLP data to a local file before testing the configured upstream destination.

INVOKE THIS SKILL when translating a context-graph-mining report into an experiment variant for the procurement-agent. Reads the report's proposed diffs and writes a variant config bundle to `experiments/variants/<id>/` (manifest.yaml + system_prompt.txt +…

INVOKE THIS SKILL when mining the procurement-agent Arize project for patterns in agent decisions vs human overrides, building a context graph, and proposing updates to procurement-agent rules. Use after a batch of reviews has been captured (process.run +…

Build and run evaluators for AI/LLM applications using Phoenix.

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Find and update out-of-date OpenAI and Anthropic model references (in docs, MDX, notebooks, and code) to the latest size-equivalent models, and apply the code changes each new generation requires (e.g. max_tokens → max_completion_tokens for GPT-5). Use when…