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Arize-aiArize-ai/arize-skills/skills/arize-link/SKILL.md

arize-link

Skill72 starsChanged 37 days agoMITView on GitHub

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.

2 other projects use a version of this, 2 of them edited.

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The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer the CLI over asking the user for IDs that it can provide:

    line 35
  2. Very specific:

    Use .organizations[].id for the organization ID.

    line 41
  3. Very specific:

    Use the matching project's id.

    line 49
  4. Distinctive:

    Prefer tight windows; 90-day windows load slowly.

    line 122
  5. Distinctive:

    Verify all path IDs are base64-encoded.

    line 127

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Arize Link

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

When to Use

  • User wants a link to a project, 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, context (exported trace data or parsed URLs), or the ax CLI:

Always requiredResource-specific
org_id (base64)project_id + trace_id [+ span_id] — trace/span
space_id (base64)project_id + session_id — session
dataset_id — dataset
dataset_id + experiment_id (one or more) — experiment or comparison
experiment_id — experiment with no dataset
queue_id — specific queue (omit for list)
evaluator_id [+ version] — evaluator

Discover organization and project IDs

Prefer the CLI over asking the user for IDs that it can provide:

ax organizations list --output json

Use .organizations[].id for the organization ID. If more than one organization is returned, match the user-provided organization name or ask them to choose.

To discover a project ID, list projects in the relevant space:

ax projects list --space "{space_name_or_id}" --limit 100 --output json

Use the matching project's id; its space_id supplies the space ID required in the URL. The command accepts a space name or ID; if no space is known, run ax projects list --limit 100 --output json and select the matching project.

To discover experiment IDs, list the experiments on the dataset; each has an id and a dataset_id:

ax experiments list --dataset "{dataset_name_or_id}" --space "{space_name_or_id}" --output json

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)

Project:

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}

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

Experiment (repeat experimentId to compare experiments side by side):

{base_url}/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}/experiments/compare?experimentId={experiment_id}
{base_url}/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}/experiments/compare?experimentId={experiment_id_a}&experimentId={experiment_id_b}

Experiment with no dataset:

{base_url}/organizations/{org_id}/spaces/{space_id}/experiments/{experiment_id}

URL-encode experiment IDs (= → %3D, + → %2B, / → %2F).

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, URL context, or the CLI. Use ax organizations list --output json to obtain org_id; use ax projects list to obtain project_id when needed.
  2. Verify all path IDs are base64-encoded.
  3. Determine startA/endA using the priority order above for trace, span, and session links.
  4. Substitute into the appropriate template and present as a clickable markdown link.

Troubleshooting

ProblemSolution
"No data" / empty viewTrace outside time window — widen startA/endA (±1h → ±1d → 90d).
404ID wrong or not base64. Re-check org_id with ax organizations list --output json, project_id with ax projects list, and space_id from the browser URL.
Span not highlightedspan_id may belong to a different trace. Verify against exported span data.
org_id unknownRun ax organizations list --output json and use .organizations[].id. If the CLI cannot access the organization, ask the user to copy it from their Arize browser URL.

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.

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