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.
Bump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer.
$ npx skills add Arize-ai/phoenix --skill phoenix-release-please -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Arize-ai/phoenix phoenix-release-please --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/.agents/skills/phoenix-release-please .claude/skills/phoenix-release-please && 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 "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .claude/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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/.agents/skills/phoenix-release-pleaseType 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 phoenix-release-please -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Arize-ai/phoenix phoenix-release-please --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/.agents/skills/phoenix-release-please .agents/skills/phoenix-release-please && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .agents/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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 phoenix-release-please -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Arize-ai/phoenix phoenix-release-please --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/.agents/skills/phoenix-release-please .cursor/skills/phoenix-release-please && 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 "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .cursor/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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 .agents/skills/phoenix-release-please--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 phoenix-release-please -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Arize-ai/phoenix phoenix-release-please --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/.agents/skills/phoenix-release-please .gemini/skills/phoenix-release-please && 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 "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .gemini/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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 phoenix-release-pleaseInstalls 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 phoenix-release-please -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/.agents/skills/phoenix-release-please .github/skills/phoenix-release-please && 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 "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .github/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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 phoenix-release-please -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 phoenix-release-please --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/.agents/skills/phoenix-release-please .opencode/skills/phoenix-release-please && 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 "phoenix-release-please" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-release-please into .opencode/skills/phoenix-release-please/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-release-please", 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.
phoenix-release-pleaseBump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer.
Phoenix Release Please is an agent skill from Arize-ai/phoenix. Bump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer. Use this skill when the user asks to "set the release-please version", "force a 2.0.0 release", "release X as Y", "skip a version", or otherwise wants release-please to propose a specific version on its next run instead of the version it would pick from conventional commits.
Its SKILL.md is about 710 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, LLM evaluation and Commit messages. It works with Arize Phoenix, OpenTelemetry and Python. The repository describes itself as: AI Observability & Evaluation. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 856100b. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitjqghFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Phoenix Release Please loads about 708 tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 236 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.
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.
The full file from Arize-ai/phoenix at commit 856100b, republished under its Apache-2.0 licence (© Arize-ai). 236 words, ~708 tokens.
.claude/skills/phoenix-release-please/SKILL.md (or your agent's skills folder).Force release-please to propose a specific next version for a managed package by landing a
commit with a Release-As trailer.
Declared in release-please-config.json; current versions in .release-please-manifest.json.
| Path | Package |
|---|---|
. | arize-phoenix (root has exclude-paths; touch a file outside them, e.g. src/phoenix/) |
packages/phoenix-client | arize-phoenix-client |
packages/phoenix-evals | arize-phoenix-evals |
packages/phoenix-otel | arize-phoenix-otel |
Verify the bump. jq . .release-please-manifest.json — target must be strictly greater
than the current entry.
Branch off main.
Make a small real edit inside the package path (typo fix, comment cleanup). Without a
file change in that path, release-please ignores the commit. Don't edit pyproject.toml's
version or .release-please-manifest.json — release-please owns those.
Commit with the trailer in the body:
git commit -m "$(cat <<'EOF'
chore: release <package> <version>
<one-line rationale>
Release-As: <version>
EOF
)"Open the PR with chore: title and the trailer also at the end of the PR body
(defensive, in case squash settings change).
Repo settings (verify with
gh api repos/Arize-ai/phoenix --jq '{squash_merge_commit_title, squash_merge_commit_message}'):
COMMIT_OR_PR_TITLE + COMMIT_MESSAGES. The squash body comes from commit messages, not
the PR description — so Release-As must live in a real commit's body. A trailer that exists
only in the PR description is dropped on squash and release-please never sees it.
arize-phoenix (root)The root package's entry in release-please-config.json lists many exclude-paths
(.github, docs, js, packages, tests, tutorials, …). A change inside any of those
paths is not counted as a server change. Pick a file under src/phoenix/ (or another
non-excluded path) for the path-touching edit.
© 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
Just SKILL.md in .agents/skills/phoenix-release-please of Arize-ai/phoenix.
Open the folder on GitHubat commit 856100b
Phoenix Release Please 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 |
|---|---|---|---|---|---|---|
| Phoenix Release Please this skillArize-ai/phoenix | 12k | — | ~708 | Automated safety check: Pass | Apache-2.0 | |
| Phoenix LLM ObservabilityOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Logfire Evalspydantic/skills | 140 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Phoenix Evalsgithub/awesome-copilot | 40k | 3 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Langfuse Hello Worldjeremylongshore/tons-of-skills-marketplace | 2.8k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
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.
FailproofAI/failproofai
Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.
pydantic/skills
Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire.
github/awesome-copilot
Build and run evaluators for AI/LLM applications using Phoenix.
jeremylongshore/tons-of-skills-marketplace
Create a minimal working Langfuse trace example. An agent skill from jeremylongshore/tons-of-skills-marketplace.
jeremylongshore/tons-of-skills-marketplace
Install and configure Langfuse SDK authentication for LLM observability.
Arize-ai/phoenix
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…
Arize-ai/phoenix
Build and maintain documentation sites with Mintlify. An agent skill from Arize-ai/phoenix.
Arize-ai/phoenix
Frontend development guidelines for the Phoenix AI observability platform.
Arize-ai/phoenix
Write efficient GraphQL queries against the Phoenix API. An agent skill from Arize-ai/phoenix.
Arize-ai/phoenix
Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).
Arize-ai/phoenix
Conventions for creating, modifying, and reviewing production-faithful Storybook stories in the Phoenix frontend (js/app/stories, js/app/.storybook).
Works with
Categories
Bump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer. Phoenix Release Please is an agent skill from Arize-ai/phoenix. Bump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer.
Phoenix Release Please fits situations like: the user asks to set the release-please version; force a 2.0.0 release; otherwise wants release-please to propose a specific version on its next run instead of the version it would pick from conventional commits.
Run `npx skills add Arize-ai/phoenix --skill phoenix-release-please -a claude-code`. Or copy the skill folder (.agents/skills/phoenix-release-please in Arize-ai/phoenix) into .claude/skills/phoenix-release-please in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Arize-ai/phoenix --skill phoenix-release-please -a codex`. Or copy the skill folder (.agents/skills/phoenix-release-please in Arize-ai/phoenix) into .agents/skills/phoenix-release-please in your project. Codex loads it when a task matches its description.
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-release-please -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-release-please, .gemini/skills/phoenix-release-please, .github/skills/phoenix-release-please and .opencode/skills/phoenix-release-please in your project.
Going by SKILL.md and its folder, Phoenix Release Please needs the command-line tools its instructions call (git, jq and gh). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
Phoenix Release Please 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.
About 708 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Phoenix Release Please: Phoenix LLM Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars), Logfire Evals (pydantic/skills, 140 stars) and Phoenix Evals (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.