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Agent skill

Phoenix PR Description

by Arize-ai in Arize-ai/phoenix

Writes and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a fixed "How this PR was made" section that reports steering, abandoned approaches, and…

Custom licenceAuto-check passedDevelopment

Install Phoenix PR Description

skills CLI
$ npx skills add Arize-ai/phoenix --skill phoenix-pr-description -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Arize-ai/phoenix phoenix-pr-description --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/phoenix-pr-description .claude/skills/phoenix-pr-description && rm -rf skills-src

Use ~/.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/

Facts

Skill name
phoenix-pr-description
GitHub stars
12k
Token cost
~1.3k tokens
SKILL.md length
543 words
Files
2
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Writes and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a fixed "How this PR was made" section that reports steering, abandoned approaches, and…

  • Editing a PR body
  • SKILL.md covers Template, Provenance definitions, Counting and Keeping it current, plus 1 more section
  • Calls jq
  • Pushing more commits to an agent-authored PR

What it does

Phoenix PR Description is an agent skill from Arize-ai/phoenix. Writes and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a fixed "How this PR was made" section that reports steering, abandoned approaches, and verification gaps so a reviewer can pick a review depth. Use when opening a PR, editing a PR body, pushing more commits to an agent-authored PR, or when the user asks for a PR description, PR summary, or provenance section.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `examples.md`).

It sits in Development, covering Pull requests and LLM observability. It works with Arize Phoenix. The repository describes itself as: AI Observability & Evaluation.

When your agent uses it

  • Editing a PR body
  • Pushing more commits to an agent-authored PR
  • The user asks for a PR description
  • Provenance section

Example prompts

  • “How this PR was made”
  • “Use the phoenix-pr-description skill to write and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a…”
  • “/phoenix-pr-description”

What it can do on your machine

Read from SKILL.md and the folder at commit 52f76fc. 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

    Shell commands in SKILL.md call:

    • jq

    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

Phoenix PR Description loads about 1.3k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 543 words (~1,283 tokens).

“A PR body lets a reviewer answer three questions at a glance: do I need to review this, how long will review and testing take, and should I hand it to my agent. Write only what serves those three. The…”

— opening of SKILL.md by Arize-ai, Custom licence
name
phoenix-pr-description
user-invocable
true
metadata.internal
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/phoenix-pr-description of Arize-ai/phoenix.

  • SKILL.md
  • examples.md

Open the folder on GitHubat commit 52f76fc

Compare with similar skills

Phoenix PR Description 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.

Phoenix PR Description compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Phoenix PR Description this skillArize-ai/phoenix12k—~1.3kAutomated safety check: PassCustom licence
Git Workflowlangfuse/langfuse36k—~1.3kAutomated safety check: PassCustom licence
Linear Work Rhythmlangfuse/langfuse36k—~3.4kAutomated safety check: PassCustom licence
Phx PR Reviewoliver-kriska/claude-elixir-phoenix565—~1.5kAutomated safety check: PassMIT
PR Reviewoliver-kriska/claude-elixir-phoenix565—~1.5kAutomated safety check: PassMIT
Phoenix LLM ObservabilityOrchestra-Research/AI-Research-SKILLs13k2 repos~2.9kAutomated safety check: PassMIT

Similar skills

  • Git Workflow

    langfuse/langfuse

    Langfuse repo Git, GitHub, commit, branch, pull request, issue search, release, and production-promotion workflow.

    36k GitHub stars~1.3k tokensUpdated today
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  • Linear Work Rhythm

    langfuse/langfuse

    Answer "what should I do today" for a Langfuse maintainer, from the tracker rather than from memory: which projects you lead, which owe an update before the Monday engineering weekly, what shipped…

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  • Phx PR Review

    oliver-kriska/claude-elixir-phoenix

    Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve.

    565 GitHub stars~1.5k tokensUpdated 4 days ago
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  • PR Review

    oliver-kriska/claude-elixir-phoenix

    Address feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve.

    565 GitHub stars~1.5k tokensUpdated 4 days ago
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  • Phoenix LLM Observability

    Orchestra-Research/AI-Research-SKILLs

    Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server.

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More from Arize-ai/phoenix

All 39 skills in this repo

  • Harbor Exec

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    A skill your agent uses when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only…

    12k GitHub stars~909 tokensUpdated today
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  • Mintlify

    Arize-ai/phoenix

    Build and maintain documentation sites with Mintlify. An agent skill from Arize-ai/phoenix.

    12k GitHub starsUsed in 8 repos~3.4k tokens
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  • Phoenix Frontend

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    Frontend development guidelines for the Phoenix AI observability platform.

    12k GitHub stars~709 tokensUpdated today
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  • Phoenix Graphql

    Arize-ai/phoenix

    Write efficient GraphQL queries against the Phoenix API. An agent skill from Arize-ai/phoenix.

    12k GitHub stars~2.2k tokensUpdated today
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  • Phoenix Server

    Arize-ai/phoenix

    Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).

    12k GitHub stars~1.6k tokensUpdated today
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  • Phoenix Storybook

    Arize-ai/phoenix

    Conventions for creating, modifying, and reviewing production-faithful Storybook stories in the Phoenix frontend (js/app/stories, js/app/.storybook).

    12k GitHub stars~1.9k tokensUpdated today
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Works with

Categories

Questions about Phoenix PR Description

What does Phoenix PR Description do?

Writes and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a fixed "How this PR was made" section that reports steering, abandoned approaches, and…. Phoenix PR Description is an agent skill from Arize-ai/phoenix. Writes and maintains the body of a pull request opened by a coding agent on Arize-ai/phoenix, including a fixed "How this PR was made" section that reports steering, abandoned approaches, and verification gaps so a reviewer can pick a review depth.

When should I use Phoenix PR Description?

Phoenix PR Description fits situations like: editing a PR body; pushing more commits to an agent-authored PR; the user asks for a PR description; provenance section.

How do I install Phoenix PR Description in Claude Code?

Run `npx skills add Arize-ai/phoenix --skill phoenix-pr-description -a claude-code`. Or copy the skill folder (.agents/skills/phoenix-pr-description in Arize-ai/phoenix) into .claude/skills/phoenix-pr-description in your project. Claude Code loads it when a task matches its description.

How do I install Phoenix PR Description in Codex?

Run `npx skills add Arize-ai/phoenix --skill phoenix-pr-description -a codex`. Or copy the skill folder (.agents/skills/phoenix-pr-description in Arize-ai/phoenix) into .agents/skills/phoenix-pr-description in your project. Codex loads it when a task matches its description.

Can I use Phoenix PR Description 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 phoenix-pr-description -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phoenix-pr-description, .gemini/skills/phoenix-pr-description, .github/skills/phoenix-pr-description and .opencode/skills/phoenix-pr-description in your project.

What does Phoenix PR Description need to run?

Going by SKILL.md and its folder, Phoenix PR Description needs the command-line tools its instructions call (jq).

Does Phoenix PR Description 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 Phoenix PR Description 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 Phoenix PR Description use?

Phoenix PR Description 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 Phoenix PR Description use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Phoenix PR Description?

Skills that share tags, products or a category with Phoenix PR Description: Git Workflow (langfuse/langfuse, 36k stars), Linear Work Rhythm (langfuse/langfuse, 36k stars), Phx PR Review (oliver-kriska/claude-elixir-phoenix, 565 stars) and PR Review (oliver-kriska/claude-elixir-phoenix, 565 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Phoenix PR Description?

Arize-ai (a GitHub organization) maintains it in Arize-ai/phoenix, which has 11,764 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 9, 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.