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Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset.
Install Playground
$ npx skills add Arize-ai/phoenix --skill playground -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Arize-ai/phoenix playground --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .claude/skills/playground && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .claude/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playgroundType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Arize-ai/phoenix --skill playground -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Arize-ai/phoenix playground --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .agents/skills/playground && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .agents/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Arize-ai/phoenix --skill playground -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Arize-ai/phoenix playground --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .cursor/skills/playground && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .cursor/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Arize-ai/phoenix.git --path src/phoenix/server/agents/prompts/skills/playground--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Arize-ai/phoenix --skill playground -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Arize-ai/phoenix playground --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .gemini/skills/playground && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .gemini/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Arize-ai/phoenix playgroundInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Arize-ai/phoenix --skill playground -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .github/skills/playground && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .github/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Arize-ai/phoenix --skill playground -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Arize-ai/phoenix playground --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/phoenix/server/agents/prompts/skills/playground .opencode/skills/playground && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "playground" agent skill from https://github.com/Arize-ai/phoenix/tree/main/src/phoenix/server/agents/prompts/skills/playground into .opencode/skills/playground/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "playground", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
playground- GitHub stars
- 12k
- Token cost
- ~3.9k tokens
- SKILL.md length
- 1,738 words
- Files
- 1
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset.
- Works in 11 steps: Clarify the task the prompt must… → If a playground prompt already exists,… → Draft or revise the prompt so it clearly… → …
- Tasks that involve LLM observability
- SKILL.md covers Workflow: Create And Iterate…, Workflow: Iterate Over A… and Workflow: Author, Refine, Or…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Playground is an agent skill from Arize-ai/phoenix. Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset. Load before any playground ui. operation call, including single-shot prompt rewrites.
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM observability. The repository describes itself as: AI Observability & Evaluation.
When your agent uses it
- Tasks that involve LLM observability
Example prompts
- “/playground”
Workflow steps
11 steps, taken from the first numbered list in SKILL.md.
- Clarify the task the prompt must perform: input variables, expected output shape, audience,
- If a playground prompt already exists, call ui.playground.prompt.read before proposing
- Draft or revise the prompt so it clearly states the task, required context, output contract, and
- Use ui.playground.prompt.edit for changes to the mounted prompt so the user can review the
- Use ui.playground.instance.add when the user wants a fresh comparison instance that starts
- Use ui.playground.variables.set when the user provides manual values for prompt template
- Use ui.playground.repetitions.set before running when the user is concerned about flakes,
- Call ui.playground.run only when the user asks to run, try, test, or compare the current
- After the run finishes, call ui.playground.run.readOutput to inspect raw output and get the
- Call ui.playground.prompt.save only when the user explicitly asks to save or confirms that the
- Inspect the output with the user, identify the next concrete improvement, and repeat the edit or
What it can do on your machine
Read from SKILL.md and the folder at commit 856100b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Playground loads about 3.9k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 1,738 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,738 words (~3,901 tokens).
“The prompt playground is a tool for authoring and optimizing prompts. It supports two different ways of working: fast manual prompt iteration without a dataset, and dataset-backed prompt experimentation with evaluators and experiments. Choose the workflow that matches the user's…”
- name
- playground
- summary
- Author, edit, run, compare, and improve prompts in the Phoenix playground.
Files
Just SKILL.md in src/phoenix/server/agents/prompts/skills/playground of Arize-ai/phoenix.
Open the folder on GitHubat commit 856100b
Compare with similar skills
Playground next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Playground this skillArize-ai/phoenix | 12k | — | ~3.9k | Automated safety check: Pass | Custom licence | |
| Langfuse Codebase Navigatorlangfuse/langfuse | 36k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| LLM Trace Review Interfaceai-evals-course/evals-skills | 1.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Langfuse Integration Pagelangfuse/langfuse-docs | 246 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Langfuselangfuse/skills | 299 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Livetablegurujada/live_table | 211 | — | ~1.9k | Automated safety check: Pass | MIT |
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ai-evals-course/evals-skills
Builds a browser-based annotation page for reviewing LLM traces one at a time with pass/fail labels, notes and saved results, tailored to your data.
Langfuse Integration Page
langfuse/langfuse-docs
Create a new Langfuse integration page in the langfuse-docs repo.
Langfuse
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Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.
Livetable
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Langsmith Online Eval Engineering
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Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads.
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Related
Categories
Questions about Playground
What does Playground do?
Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset. Playground is an agent skill from Arize-ai/phoenix. Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset.
When should I use Playground?
Playground fits situations like: tasks that involve LLM observability.
How do I install Playground in Claude Code?
Run `npx skills add Arize-ai/phoenix --skill playground -a claude-code`. Or copy the skill folder (src/phoenix/server/agents/prompts/skills/playground in Arize-ai/phoenix) into .claude/skills/playground in your project. Claude Code loads it when a task matches its description.
How do I install Playground in Codex?
Run `npx skills add Arize-ai/phoenix --skill playground -a codex`. Or copy the skill folder (src/phoenix/server/agents/prompts/skills/playground in Arize-ai/phoenix) into .agents/skills/playground in your project. Codex loads it when a task matches its description.
Can I use Playground in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Arize-ai/phoenix --skill playground -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/playground, .gemini/skills/playground, .github/skills/playground and .opencode/skills/playground in your project.
What does Playground need to run?
SKILL.md names no scripts, command-line tools or credentials: Playground is instructions for the agent only.
Does Playground access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Playground safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Playground use?
Playground has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Playground use?
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Playground?
Skills that share tags, products or a category with Playground: Langfuse Codebase Navigator (langfuse/langfuse, 36k stars), LLM Trace Review Interface (ai-evals-course/evals-skills, 1.5k stars), Langfuse Integration Page (langfuse/langfuse-docs, 246 stars) and Langfuse (langfuse/skills, 299 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Playground?
Arize-ai (a GitHub organization) maintains it in Arize-ai/phoenix, which has 11,744 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.
Source: Arize-ai/phoenix on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.