Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
arize-prompt-optimization
arize-prompt-optimization is an open-source integrations skill for Claude Code and compatible agents, published by github. Its author describes it as: “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…”. The project has 38k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/github/awesome-copilot ~/.claude/skills/arize-prompt-optimization`.
What arize-prompt-optimization does
> **`SPACE`** — All `--space` flags and the `ARIZE_SPACE` env var accept a space **name** (e.g., `my-workspace`) or a base64 space **ID** (e.g., `U3BhY2U6...`). Find yours with `ax spaces list`.
Installation
Add arize-prompt-optimization to your agent with:
git clone https://github.com/github/awesome-copilot ~/.claude/skills/arize-prompt-optimizationAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for arize-prompt-optimization is organised into these sections:
- Concepts
- Where Prompts Live in Trace Data
- Finding Prompts by Span Kind
- Performance Signal Columns
- Prerequisites
- Phase 1: Extract the Current Prompt
- Find LLM spans containing prompts
- Export a trace to inspect prompt structure
- Extract prompts from exported JSON
- Reconstruct the prompt as messages
- Phase 2: Gather Performance Data
- From traces (production feedback)
When to use it
Reach for arize-prompt-optimization when you want integrations help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in github/awesome-copilot, an established project with 37,982 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does arize-prompt-optimization do?
- 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 prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
- How do I install arize-prompt-optimization?
- Run git clone https://github.com/github/awesome-copilot ~/.claude/skills/arize-prompt-optimization in your agent, then reload your skills. Review the source at https://github.com/github/awesome-copilot before installing.
- Is arize-prompt-optimization free to use?
- Yes. arize-prompt-optimization is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does arize-prompt-optimization come from?
- arize-prompt-optimization ships inside github/awesome-copilot, a repository that contains 41 catalogued skills in total. The repository's 37,982 GitHub stars apply to that whole collection, not to this skill on its own.
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