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* Add 9 Arize LLM observability skills Add skills for Arize AI platform covering trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add 3 Phoenix AI observability skills Add skills for Phoenix (Arize open-source) covering CLI debugging, LLM evaluation workflows, and OpenInference tracing/instrumentation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Ignoring intentional bad spelling * Fix CI: remove .DS_Store from generated skills README and add codespell ignore Remove .DS_Store artifact from winmd-api-search asset listing in generated README.skills.md so it matches the CI Linux build output. Add queston to codespell ignore list (intentional misspelling example in arize-dataset skill). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add arize-ax and phoenix plugins Bundle the 9 Arize skills into an arize-ax plugin and the 3 Phoenix skills into a phoenix plugin for easier installation as single packages. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix skill folder structures to match source repos Move arize supporting files from references/ to root level and rename phoenix references/ to rules/ to exactly match the original source repository folder structures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fixing file locations * Fixing readme --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1.4 KiB
1.4 KiB
Arize AX Plugin
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI.
Installation
# Using Copilot CLI
copilot plugin install arize-ax@awesome-copilot
What's Included
Skills
| Skill | Description |
|---|---|
arize-trace |
Export and analyze Arize traces and spans for debugging LLM applications using the ax CLI. |
arize-instrumentation |
Add Arize AX tracing to applications using a two-phase agent-assisted workflow. |
arize-dataset |
Create, manage, and query versioned evaluation datasets using the ax CLI. |
arize-experiment |
Run experiments against datasets and compare results using the ax CLI. |
arize-evaluator |
Create and run LLM-as-judge evaluators for automated scoring of spans and experiments. |
arize-ai-provider-integration |
Store and manage LLM provider credentials for use with evaluators. |
arize-annotation |
Create annotation configs and bulk-apply human feedback labels to spans. |
arize-prompt-optimization |
Optimize LLM prompts using production trace data, evaluations, and annotations. |
arize-link |
Generate deep links to the Arize UI for traces, spans, sessions, datasets, and more. |