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/arize-link

Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset,

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$ npx -y skills add github/awesome-copilot --skill arize-link --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/arize-link

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset,

SKILL.md

arize-link.SKILL.md
name: arize-link
description: Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.
metadata:
  author: arize
  version: "1.0"

Arize Link

Generate deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.

When to Use

  • User wants a link to a trace, span, session, dataset, labeling queue, evaluator, or annotation config
  • You have IDs from exported data or logs and need to link back to the UI
  • User asks to "open" or "view" any of the above in Arize

Required Inputs

Collect from the user or context (exported trace data, parsed URLs):

| Always required | Resource-specific | |---|---| | `org_id` (base64) | `project_id` + `trace_id` [+ `span_id`] — trace/span | | `space_id` (base64) | `project_id` + `session_id` — session | | | `dataset_id` — dataset | | | `queue_id` — specific queue (omit for list) | | | `evaluator_id` [+ `version`] — evaluator |

**All path IDs must be base64-encoded** (characters: `A-Za-z0-9+/=`). A raw numeric ID produces a valid-looking URL that 404s. If the user provides a number, ask them to copy the ID directly from their Arize browser URL (`https://app.arize.com/organizations/{org_id}/spaces/{space_id}/…`). If you have a raw internal ID (e.g. `Organization:1:abC1`), base64-encode it before inserting into the URL.

URL Templates

Base URL: `https://app.arize.com` (override for on-prem)

**Trace** (add `&selectedSpanId={span_id}` to highlight a specific span):

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm

**Session:**

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm

**Dataset** (`selectedTab`: `examples` or `experiments`):

{base_url}/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}?selectedTab=examples

**Queue list / specific queue:**

{base_url}/organizations/{org_id}/spaces/{space_id}/queues
{base_url}/organizations/{org_id}/spaces/{space_id}/queues/{queue_id}

**Evaluator** (omit `?version=…` for latest):

{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}
{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}?version={version_url_encoded}

The `version` value must be URL-encoded (e.g., trailing `=` → `%3D`).

**Annotation configs:**

{base_url}/organizations/{org_id}/spaces/{space_id}/annotation-configs

Time Range

CRITICAL: `startA` and `endA` (epoch milliseconds) are **required** for trace/span/session links — omitting them defaults to the last 7 days and will show "no recent data" if the trace falls outside that window.

**Priority order:** 1. **User-provided URL** — extract and reuse `startA`/`endA` directly. 2. **Span `start_time`** — pad ±1 day (or ±1 hour for a tighter window). 3. **Fallback** — last 90 days (`now - 90d` to `now`).

Prefer tight windows; 90-day windows load slowly.

Instructions

1. Gather IDs from user, exported data, or URL context. 2. Verify all path IDs are base64-encoded. 3. Determine `startA`/`endA` using the priority order above. 4. Substitute into the appropriate template and present as a clickable markdown link.

Troubleshooting

| Problem | Solution | |---|---| | "No data" / empty view | Trace outside time window — widen `startA`/`endA` (±1h → ±1d → 90d). | | 404 | ID wrong or not base64. Re-check `org_id`, `space_id`, `project_id` from the browser URL. | | Span not highlighted | `span_id` may belong to a different trace. Verify against exported span data. | | `org_id` unknown | `ax` CLI doesn't expose it. Ask user to copy from `https://app.arize.com/organizations/{org_id}/spaces/{space_id}/…`. |

Related Skills

  • **arize-trace**: Export spans to get `trace_id`, `span_id`, and `start_time`.

Examples

See references/EXAMPLES.md for a complete set of concrete URLs for every link type.

Read more
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