Failproof AI SDK Integration
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.
TypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories.
$ npx skills add Arize-ai/phoenix --skill phoenix-typescript -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Arize-ai/phoenix phoenix-typescript --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-typescript .claude/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .claude/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescriptType 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-typescript -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Arize-ai/phoenix phoenix-typescript --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-typescript .agents/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .agents/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescript -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Arize-ai/phoenix phoenix-typescript --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-typescript .cursor/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .cursor/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescript--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-typescript -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Arize-ai/phoenix phoenix-typescript --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-typescript .gemini/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .gemini/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescriptInstalls 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-typescript -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-typescript .github/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .github/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescript -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-typescript --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-typescript .opencode/skills/phoenix-typescript && 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-typescript" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-typescript into .opencode/skills/phoenix-typescript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phoenix-typescript", 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-typescriptTypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories.
Phoenix Typescript is an agent skill from Arize-ai/phoenix. TypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories. Use this skill whenever writing, reviewing, or modifying TypeScript code — new functions, types, exports, tests, or refactors. Also trigger when the user asks about TS patterns, naming conventions, or best practices for this project.
Its SKILL.md is about 1.5k 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 and Monorepo tooling. It works with TypeScript. The repository describes itself as: AI Observability & Evaluation.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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 Typescript loads about 1.5k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 433 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 433 words (~1,460 tokens).
“These conventions apply to all TypeScript in the Phoenix monorepo — the js/app/ frontend, the js/packages/ libraries (phoenix-client, phoenix-cli, phoenix-evals, phoenix-mcp, phoenix-otel, phoenix-config), examples, and benchmarks.”
Just SKILL.md in .agents/skills/phoenix-typescript of Arize-ai/phoenix.
Open the folder on GitHubat commit 856100b
Phoenix Typescript 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 Typescript this skillArize-ai/phoenix | 12k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Langchain Dependencieslangchain-ai/langchain-skills | 1.3k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Langsmith Custom Appslangchain-ai/langsmith-skills | 159 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Opik External Integrationscomet-ml/opik | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Opik SDK Integrationscomet-ml/opik | 22k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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.
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.
langchain-ai/langsmith-skills
INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API.
comet-ml/opik
Builds Opik tracing integrations that live outside the Opik repository, either as standalone opik-* packages or as contributions into projects such as LiteLLM or Dify.
comet-ml/opik
Builds, updates and verifies integrations inside the Opik Python and TypeScript SDKs so users can trace a framework or provider with one call.
comet-ml/opik
Documents the Opik TypeScript SDK's layered architecture, flush and batching rules, and error-handling conventions for anyone changing code under sdks/typescript.
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
TypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories. Phoenix Typescript is an agent skill from Arize-ai/phoenix. TypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories.
Phoenix Typescript fits situations like: modifying TypeScript code — new functions; the user asks about TS patterns; naming conventions; best practices for this project.
Run `npx skills add Arize-ai/phoenix --skill phoenix-typescript -a claude-code`. Or copy the skill folder (.agents/skills/phoenix-typescript in Arize-ai/phoenix) into .claude/skills/phoenix-typescript in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Arize-ai/phoenix --skill phoenix-typescript -a codex`. Or copy the skill folder (.agents/skills/phoenix-typescript in Arize-ai/phoenix) into .agents/skills/phoenix-typescript 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-typescript -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-typescript, .gemini/skills/phoenix-typescript, .github/skills/phoenix-typescript and .opencode/skills/phoenix-typescript in your project.
SKILL.md names no scripts, command-line tools or credentials: Phoenix Typescript is instructions for the agent only.
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.
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 Typescript has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.5k tokens (SKILL.md is roughly 5.8k 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 Typescript: Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars), Langchain Dependencies (langchain-ai/langchain-skills, 1.3k stars), Langsmith Custom Apps (langchain-ai/langsmith-skills, 159 stars) and Opik External Integrations (comet-ml/opik, 22k 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.