Agent skill

Phoenix CLI Development

by Arize-ai in Arize-ai/phoenix

Design and implementation guide for the Phoenix CLI (px). An agent skill from Arize-ai/phoenix.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Phoenix CLI Development

skills CLI
$ npx skills add Arize-ai/phoenix --skill phoenix-cli-development -a claude-code

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

GitHub CLI
$ gh skill install Arize-ai/phoenix phoenix-cli-development --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/js/packages/phoenix-cli/.agents/skills/phoenix-cli-development .claude/skills/phoenix-cli-development && 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-cli-development
GitHub stars
12k
Token cost
~4.2k tokens
SKILL.md length
1,592 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
Apache-2.0

At a glance

Design and implementation guide for the Phoenix CLI (px). An agent skill from Arize-ai/phoenix.

  • Works in 3 steps: The new noun-verb form MUST be created… → The old form SHOULD be kept as a hidden… → Only the noun-verb form SHALL be…
  • Working on phoenix-cli commands — adding new commands
  • SKILL.md covers Command Structure: Noun-Verb, Dual-Audience Design, Adding a New Command and Naming Conventions, plus 4 more sections
  • Calls pnpm and jq; needs PHOENIX_API_KEY

What it does

Phoenix CLI Development is an agent skill from Arize-ai/phoenix. Design and implementation guide for the Phoenix CLI (px). Covers the noun-verb command structure, dual-audience design (humans and coding agents), Commander.js patterns, configuration resolution, output formats, exit codes, and conventions for adding or modifying commands. Triggers when working on phoenix-cli commands — adding new commands, modifying existing ones, refactoring command structure, or reviewing CLI code. Also triggers on mentions of px commands, CLI design, or adding a new resource to the CLI.

Its SKILL.md is about 4.2k 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. The licence is Apache-2.0.

When your agent uses it

  • Working on phoenix-cli commands — adding new commands
  • Modifying existing ones
  • Refactoring command structure
  • Reviewing CLI code

Example prompts

  • “/phoenix-cli-development”

Requirements

  • A credential in PHOENIX_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. The new noun-verb form MUST be created as the primary command
  2. The old form SHOULD be kept as a hidden alias (Commander's .alias() or a hidden command) so existing scripts don't break
  3. Only the noun-verb form SHALL be documented going forward

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

    Shell commands in SKILL.md call:

    • pnpm
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PHOENIX_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Phoenix CLI Development loads about 4.2k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 1,592 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

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

The full file from Arize-ai/phoenix at commit 856100b, republished under its Apache-2.0 licence (© Arize-ai). 1,592 words, ~4,221 tokens.

Download SKILL.mdSave it as .claude/skills/phoenix-cli-development/SKILL.md (or your agent's skills folder).
name
phoenix-cli-development
description
Design and implementation guide for the Phoenix CLI (`px`). Covers the noun-verb command structure, dual-audience design (humans and coding agents), Commander.js patterns, configuration resolution, output formats, exit codes, and conventions for adding or modifying commands. Triggers when working on phoenix-cli commands — adding new commands, modifying existing ones, refactoring command structure, or reviewing CLI code. Also triggers on mentions of `px` commands, CLI design, or adding a new resource to the CLI.
license
Apache-2.0
metadata.author
oss@arize.com
metadata.version
2.1.0
metadata.internal
true

Phoenix CLI Design Specification

The Phoenix CLI (px) is a command-line interface for the Phoenix AI observability platform. It serves two distinct audiences simultaneously: humans typing commands in a terminal and coding agents (Claude Code, Cursor, Codex, Gemini CLI) executing commands programmatically.

This specification uses RFC 2119 keywords (MUST, SHOULD, MAY, etc.) to indicate requirement strength.

Command Structure: Noun-Verb

All commands MUST follow a noun-verb pattern, modeled after the GitHub CLI (gh):

px <resource> <action> [arguments] [options]

Resource names MUST be singular — they name the type of thing you're acting on, not how many:

bash
px project list              # not "px projects"
px project create            # not "px create-project"
px trace get <trace-id>
px dataset get <name-or-id>
px auth status
Standard verbs

Commands SHOULD use these verbs consistently across all resources:

VerbPurposeTakes argument?Example
listList/query multiple resourcesNo (uses flags)px project list --limit 10
getFetch a single resource by IDYes (required)px trace get <trace-id>
createCreate a new resourceVariespx project create --name foo
updateModify an existing resourceYes (required)px project update <id> --name bar
deleteRemove a resourceYes (required)px project delete <id>

Not every resource supports every verb — datasets MAY omit create via CLI if the primary flow is through the SDK. Commands SHALL only add verbs that make sense for the resource.

Additional verbs for specialized actions are RECOMMENDED when the standard set doesn't cover it:

  • px auth login, px auth status
  • px self update
  • px docs fetch
  • px api graphql <query>
Backward compatibility during migration

The CLI is evolving from a flat structure (px projects, px traces) toward full noun-verb. During the transition, both forms MAY coexist. When migrating an existing command:

  1. The new noun-verb form MUST be created as the primary command
  2. The old form SHOULD be kept as a hidden alias (Commander's .alias() or a hidden command) so existing scripts don't break
  3. Only the noun-verb form SHALL be documented going forward

Dual-Audience Design

The CLI MUST be equally usable by a person at a terminal and by a coding agent. Every command that outputs data MUST support --format:

  • pretty (default) — Human-readable tables and formatting
  • json — Indented JSON for human inspection of structured data
  • raw — Compact single-line JSON for piping into jq or agent consumption

Commands MAY support additional formats (e.g., --format text for prompts). The default MUST always be pretty.

Progress indicators MUST write to stderr. Agents SHOULD pass --no-progress to suppress them.

bash
# Agent-friendly invocation
px trace list --format raw --no-progress | jq '...'
Semantic exit codes

Defined in src/exitCodes.ts. Commands MUST use the named constants and MUST NOT use bare numeric literals.

CodeConstantMeaning
0SUCCESSCommand completed successfully
1FAILUREUnspecified or unexpected error
2CANCELLEDUser cancelled (e.g., declined a confirmation)
3INVALID_ARGUMENTBad CLI flags, missing required args, invalid input
4AUTH_REQUIREDNot authenticated or insufficient permissions
5NETWORK_ERRORFailed to connect to server or network request
6NOT_VERIFIEDRan, but could not verify the result it produces
Interactive default with non-interactive mode

Commands MAY prompt interactively when a required value is missing or a confirmation is needed — this is the human-friendly default. The --no-input flag MUST suppress all prompts: both missing-value prompts and destructive-action confirmations. Non-interactive mode is also activated automatically when no TTY is attached (piped stdin).

In non-interactive mode, if a required value is missing, the command MUST exit immediately with ExitCode.INVALID_ARGUMENT and print the correct invocation. If a confirmation would have been shown, the command MUST proceed as if confirmed:

bash
# Human: missing --name triggers interactive prompt
px project create

# Agent: all inputs as flags, no prompts
px project create --name my-project --format raw --no-input

# Human: gets "Are you sure?" prompt
px dataset delete my-dataset

# Agent: skips confirmation
px dataset delete my-dataset --no-input --format raw
Error: Missing required flag --name.
  px project create --name <project-name>
Idempotent commands

Commands SHOULD be idempotent where possible. Running the same command twice MUST NOT produce duplicate resources or unexpected errors:

  • create commands SHOULD support --if-not-exists to return the existing resource instead of failing
  • delete commands on a missing resource SHOULD exit with ExitCode.SUCCESS (not an error)
Return structured data on success

Mutating commands (create, update, delete) MUST return the affected resource in the selected --format on stdout. Commands MUST NOT print bare success messages like "Project created." — output the resource so agents can extract IDs, URLs, and other fields:

bash
$ px project create --name foo --format raw
{"id":"proj_abc","name":"foo","createdAt":"2025-03-15T10:00:00Z"}
Fail fast with actionable errors

When a command fails due to invalid input, the error message MUST include the correct invocation syntax. Follow the pattern established by getConfigErrorMessage() in src/config.ts:

  • Show what was wrong
  • Show the correct command to fix it
  • Suggest a related command when helpful (e.g., "Available projects: px project list")

When --format raw or --format json is active, errors SHOULD also be written as structured JSON to stderr so agents can parse them. Use the StructuredError shape:

typescript
interface StructuredError {
  error: string; // Human-readable error message
  code: string; // ExitCode constant name (e.g., "INVALID_ARGUMENT")
  hint?: string; // Suggested command to resolve the issue
}
json
{
  "error": "Project not found",
  "code": "FAILURE",
  "hint": "px project list --format raw"
}
Progressive help discovery

Every subcommand MUST include a --help with at least one concrete example. Use Commander's .addHelpText('after', ...) to append an Examples: block:

$ px project create --help
Usage: px project create [options]

Create a new Phoenix project.

Options:
  --name <name>       Project name (required)
  --description <d>   Project description
  --format <format>   Output format (pretty|json|raw) (default: "pretty")
  -h, --help          Display help

Examples:
  px project create --name my-project
  px project create --name my-project --format raw

Agents discover capabilities incrementally: px → px project → px project create --help. Each level MUST provide enough information to navigate deeper.

Adding a New Command

Options interface

Every handler MUST define a TypeScript interface for its options — the typed mirror of the flags its command registers. Field names MUST be descriptive; abbreviations MUST NOT be used.

The shapes that recur across commands live in src/commands/options.ts and MUST be reused rather than re-declared:

TypeFieldsUse for
ConnectionOptionsendpoint, apiKeyAny command that calls the Phoenix API
CommonOptions<TFormat>+ format, progressAny command that prints a resource
ProjectScopedOptions<TFormat>+ projectCommands that register --project
AnnotationInclusionOptionsincludeAnnotations, includeNotesSpan/trace/session reads
DeleteOptionsendpoint, apiKey, progress, yesDelete verbs (used directly — no local interface)
AnnotateOptionsname, label, score, explanation, annotatorKind, …annotate verbs
AddNoteOptionstext, identifieradd-note verbs
AnnotationsDeleteOptionsfilters + all, yes*-annotations delete commands

A command whose flags exactly match a shared shape MUST use that type directly instead of declaring an identical local one. Otherwise, extend the matching base and declare only the flags unique to the command:

typescript
interface SpanListOptions
  extends ProjectScopedOptions<SpanOutputFormat>, AnnotationInclusionOptions {
  /**
   * `--span-kind <kinds...>`: Filter by OpenInference span kind — `LLM`,
   * `CHAIN`, `TOOL`, …
   *
   * @example ["LLM", "TOOL"]
   */
  spanKind?: string[];
}

Every field MUST carry a TSDoc block that opens with the literal flag and its argument placeholder, states any default declared in the .option() call, and gives an @example where a concrete value clarifies usage. Negated flags (--no-progress, --no-input) MUST document their inverted reading: Commander defaults them to true and only sets false when the flag is passed.

Commands that prompt for input or confirmation MUST support non-interactive mode — --no-input for prompts (px setup), --yes via ConfirmationOptions for destructive confirmations.

Show full SKILL.md (600 more words)Show less
Configuration resolution

The CLI MUST resolve configuration from multiple sources. Use resolveConfig() from src/config.ts for this merge logic. Priority:

  1. CLI flags (highest priority) — --endpoint, --api-key, --project
  2. Environment variables — PHOENIX_ENDPOINT, PHOENIX_API_KEY, PHOENIX_PROJECT (alias: PHOENIX_PROJECT_NAME)
  3. Defaults — http://localhost:6006 for endpoint

Command handlers MUST NOT read environment variables directly.

Output formatting

Each resource type SHOULD have formatting modules in src/commands/format*.ts. When creating a new resource command, a corresponding formatter MUST be created following the existing pattern.

  • formatTable.ts — Shared table rendering with terminal-width-aware column truncation
  • formatProjectsOutput(), formatTracesOutput(), etc. — Resource-specific formatters

Formatters MUST accept a format option and return a string.

I/O functions

Commands MUST use the helpers from src/io.ts:

typescript
writeOutput({ message }); // → stdout (data the user/agent wants)
writeError({ message }); // → stderr (errors)
writeProgress({ message, noProgress }); // → stderr (suppressible status updates)

console.log MUST NOT be used directly. The writeOutput/writeError split ensures stdout contains only data output, which is REQUIRED for piping correctness.

Naming Conventions

Code MUST follow these naming conventions (see also the phoenix-typescript skill):

  • Functions and variables: camelCase — createProjectCommand, projectListHandler
  • Types and interfaces: PascalCase — ProjectListOptions, OutputFormat
  • Constants: SCREAMING_SNAKE_CASE — ExitCode.SUCCESS, CLI_VERSION
  • Files: camelCase.ts — projects.ts, formatProjects.ts
  • No abbreviations — projectIdentifier not projId, annotationConfig not annCfg

Testing

Tests use vitest and live in the test/ directory, mirroring src/ structure.

bash
pnpm test          # run all tests
pnpm test:watch    # watch mode

HTTP is mocked with @arizeai/phoenix-testing (MSW handlers generated from the OpenAPI definition) — tests MUST NOT stub the global fetch. Use the shared harness:

  • test/mockServer.ts — call const mock = setupMockPhoenixServer() at module top level; every documented Phoenix endpoint answers with schema-generated data, and unhandled requests fail the test. Pin exact responses per-test with the typed http namespace: mock.server.use(http.get("/v1/projects", ({ response }) => response(200).json({...}))). Assert on the request (params, query, body) by capturing values inside the handler.
  • test/testUtils.ts — BASE_ARGS (endpoint + --no-progress args), mockProcessExit() (throws process.exit:<code> for exit-code assertions), and captureCliOutput() (silenced stdout/stderr spies).
  • Raw non-OpenAPI handlers (GraphQL, third-party hosts) use msw re-exported from @arizeai/phoenix-testing (HttpResponse, http); HttpResponse.error() simulates network failure.
  • Injected-fetch dependency injection (e.g. fetchImpl params in OAuth helpers) is fine as-is and does not need MSW.

When adding a command, tests MUST cover:

  • The handler logic over HTTP (typed MSW handlers, not client mocks)
  • Formatter output for each format mode
  • Edge cases: missing config, network errors, empty results
  • Exit code correctness for error paths
  • One run against the generated handlers alone (no pinned responses) to prove the command works end-to-end against spec-conformant data

Build and Run

bash
pnpm build         # TypeScript → build/
pnpm dev           # Run from source via tsx (during development)

The CLI is published as @arizeai/phoenix-cli with binary aliases px and phoenix-cli.

Global Options Placement

Global options (--endpoint, --api-key) MUST be placed on the verb, not the noun. This is REQUIRED because Commander attaches options to the command that defines them:

bash
# Correct — options on the verb
px project list --endpoint http://my-server:6006

# Wrong — options on the noun (Commander won't parse these)
px project --endpoint http://my-server:6006 list

Checklist for Adding a New Resource Command

  1. Create src/commands/<resource>.ts with create<Resource>Command() exporting the noun
  2. Add verb subcommands (list, get, create, etc.) as needed
  3. Create src/commands/format<Resource>.ts for output formatting
  4. Define options interfaces with descriptive field names
  5. Use resolveConfig() for configuration, createPhoenixClient() for API calls
  6. Use writeOutput()/writeError() for I/O, semantic ExitCode constants for errors
  7. Export from src/commands/index.ts
  8. Register in src/cli.ts via program.addCommand()
  9. Add tests in test/
  10. Run pnpm test — fix any failures before proceeding
  11. Run pnpm build — fix any type errors before proceeding
  12. Update README.md with usage examples showing both human and agent-friendly invocations
  13. Update the external Phoenix CLI skill at .agents/skills/phoenix-cli/SKILL.md when commands, flags, examples, or output shapes change
  14. Keep skill updates concise: document the new capability with the smallest useful examples and output-shape notes rather than repeating the full README
  15. If the command prompts for input or confirmation, support --no-input (see InteractiveCommandOptions)
  16. Add at least one example to --help via .addHelpText('after', ...)
  17. Mutating commands return the affected resource on stdout (not just a success message)
  18. Run manually with --format raw and --no-input to verify agents get clean, parseable output

© Arize-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in js/packages/phoenix-cli/.agents/skills/phoenix-cli-development of Arize-ai/phoenix.

Open the folder on GitHubat commit 856100b

Compare with similar skills

Phoenix CLI Development 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 CLI Development compared with similar skills
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LLM Trace Review Interfaceai-evals-course/evals-skills1.5k—~1.4kAutomated safety check: PassApache-2.0
Langfuse Integration Pagelangfuse/langfuse-docs246—~3.7kAutomated safety check: PassMIT
Langfuselangfuse/skills299—~2.1kAutomated safety check: NotesMIT
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Questions about Phoenix CLI Development

What does Phoenix CLI Development do?

Design and implementation guide for the Phoenix CLI (px). An agent skill from Arize-ai/phoenix. Phoenix CLI Development is an agent skill from Arize-ai/phoenix. Design and implementation guide for the Phoenix CLI (px).

When should I use Phoenix CLI Development?

Phoenix CLI Development fits situations like: working on phoenix-cli commands — adding new commands; modifying existing ones; refactoring command structure; reviewing CLI code.

How do I install Phoenix CLI Development in Claude Code?

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

How do I install Phoenix CLI Development in Codex?

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

Can I use Phoenix CLI Development 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-cli-development -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-cli-development, .gemini/skills/phoenix-cli-development, .github/skills/phoenix-cli-development and .opencode/skills/phoenix-cli-development in your project.

What does Phoenix CLI Development need to run?

Going by SKILL.md and its folder, Phoenix CLI Development needs the command-line tools its instructions call (pnpm and jq) and credentials named PHOENIX_API_KEY. Our summary lists: A credential in PHOENIX_API_KEY.

Does Phoenix CLI Development 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 CLI Development 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 CLI Development use?

Phoenix CLI Development is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Phoenix CLI Development use?

About 4.2k tokens (SKILL.md is roughly 17k 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 CLI Development?

Skills that share tags, products or a category with Phoenix CLI Development: 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 Phoenix CLI Development?

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.