Repository
Arize-ai/phoenix agent skills
- skills
- 39
- GitHub stars
- 12k
GitHub description: “AI Observability & Evaluation”
- Stars
- 11,764 (1,196 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Nov 2022
- Homepage
- arize.com/docs/phoenix
- llmops
- ai-monitoring
- ai-observability
- llm-eval
- aiengineering
- datasets
- agents
- llms
- prompt-engineering
- anthropic
- evals
- llm-evaluation
- openai
- langchain
- llamaindex
- smolagents
Install all skills
npx skills add Arize-ai/phoenixAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in Arize-ai/phoenix, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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/ | 12k | — | ~909 | Automated safety check: Pass | Unknown | today |
| 2 | 2.Mintlify Build and maintain documentation sites with Mintlify. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | 8 repos | ~3.4k | Automated safety check: Pass | MIT | today |
| 3 | Frontend development guidelines for the Phoenix AI observability platform. | Arize-ai/ | 12k | — | ~709 | Automated safety check: Pass | Unknown | today |
| 4 | Write efficient GraphQL queries against the Phoenix API. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~2.2k | Automated safety check: Pass | Unknown | today |
| 5 | Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI). | Arize-ai/ | 12k | — | ~1.6k | Automated safety check: Pass | Unknown | today |
| 6 | Conventions for creating, modifying, and reviewing production-faithful Storybook stories in the Phoenix frontend (js/app/stories, js/app/.storybook). | Arize-ai/ | 12k | — | ~1.9k | Automated safety check: Pass | Unknown | today |
| 7 | Manage GitHub issues, labels, project boards, sprint operations, and roadmap health for the Arize-ai/phoenix repository. | Arize-ai/ | 12k | — | ~6.5k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | Generate synthetic evaluation datasets for the PXI eval harness (evals/pxi/). | Arize-ai/ | 12k | — | ~7.1k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Run open-source triage on Arize-ai/phoenix issues — classify type, check sufficiency, apply component and complexity labels, flag work that already shipped, investigate complex bugs, tidy… | Arize-ai/ | 12k | — | ~5.4k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | 10.Phoenix CLI Debug LLM applications using the Phoenix CLI. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~6.8k | Automated safety check: Notes | Apache-2.0 | today |
| 11 | Design and implementation guide for the Phoenix CLI (px). An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | Audit documentation gaps across the Phoenix repo by analyzing recent commits to main (default: last 7 days). | Arize-ai/ | 12k | — | ~4.8k | Automated safety check: Pass | Unknown | today |
| 13 | Create a new built-in classification evaluator for Phoenix evals. | Arize-ai/ | 12k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 14 | Generates onboarding code snippets for Phoenix tracing integrations and wires them into the project onboarding UI. | Arize-ai/ | 12k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 15 | Maintain the Phoenix llms.txt documentation index at docs/phoenix/llms.txt — the machine-readable docs map used by AI agents and the px docs fetch CLI. | Arize-ai/ | 12k | — | ~2.3k | Automated safety check: Pass | Unknown | today |
| 16 | Write Playwright E2E tests for the Phoenix AI observability platform. | Arize-ai/ | 12k | — | ~3.6k | Automated safety check: Pass | Unknown | today |
| 17 | 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… | Arize-ai/ | 12k | — | ~1.3k | Automated safety check: Pass | Unknown | today |
| 18 | Write, extend, and debug PXI Playwright E2E tests for Phoenix. | Arize-ai/ | 12k | — | ~2.6k | Automated safety check: Pass | Unknown | today |
| 19 | 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. | Arize-ai/ | 12k | — | ~708 | Automated safety check: Pass | Apache-2.0 | today |
| 20 | Audit recent changes to Phoenix's user-facing surfaces (Python clients, TypeScript clients, CLI, REST/GraphQL APIs) and patch the three external-facing agent skills — phoenix-tracing, phoenix-cli… | Arize-ai/ | 12k | — | ~5.1k | Automated safety check: Pass | Unknown | today |
| 21 | Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean. | Arize-ai/ | 12k | — | ~1.7k | Automated safety check: Pass | Unknown | today |
| 22 | TypeScript conventions and patterns for any TypeScript code in the Phoenix monorepo — including js/packages/, js/app/, and any other TS directories. | Arize-ai/ | 12k | — | ~1.5k | Automated safety check: Pass | Unknown | today |
| 23 | Maintain the bundled TypeScript package docs that ship inside Phoenix npm packages. | Arize-ai/ | 12k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 24 | 24.Rewardkit Write Harbor task verifiers using Reward Kit. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~3k | Automated safety check: Pass | Unknown | today |
| 25 | Migrate or upgrade TypeScript tooling in the Phoenix monorepo. | Arize-ai/ | 12k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 26 | 26.Create Task Create a new Harbor task for evaluating agents. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~4.4k | Automated safety check: Warn | Unknown | today |
| 27 | Development guide for the @arizeai/phoenix-client TypeScript SDK — run and resume experiments, manage OpenTelemetry tracer providers with stack-based attach/detach, and write vitest unit and… | Arize-ai/ | 12k | — | ~370 | Automated safety check: Pass | Apache-2.0 | today |
| 28 | Find out what is going wrong in LLM or agent traffic by reading sampled Phoenix traces, spans, or sessions, writing free-form notes (open coding), then grouping the notes into a few narrow… | Arize-ai/ | 12k | — | ~6.4k | Automated safety check: Pass | Apache-2.0 | today |
| 29 | Create Phoenix release documentation grounded in actual code changes. | Arize-ai/ | 12k | — | ~6.7k | Automated safety check: Pass | Unknown | today |
| 30 | 30.Evaluators Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output. | Arize-ai/ | 12k | — | ~1.7k | Automated safety check: Pass | Unknown | today |
| 31 | 31.Experiments Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving. | Arize-ai/ | 12k | — | ~1.8k | Automated safety check: Pass | Unknown | today |
| 32 | Screenshot a running Phoenix feature and attach images to a GitHub PR. | Arize-ai/ | 12k | — | ~979 | Automated safety check: Pass | Unknown | today |
| 33 | 33.Playground Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset. | Arize-ai/ | 12k | — | ~3.9k | Automated safety check: Pass | Unknown | today |
| 34 | Design system conventions for the Phoenix frontend — layout, dialogs, error display, BEM CSS class naming, and CSS design tokens. | Arize-ai/ | 12k | — | ~416 | Automated safety check: Pass | Apache-2.0 | today |
| 35 | Guide for the phoenix-otel TypeScript package — OTel registration, stack-based global provider management, and provider lifecycle. | Arize-ai/ | 12k | — | ~330 | Automated safety check: Pass | Apache-2.0 | today |
| 36 | REST API development for Phoenix. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~286 | Automated safety check: Pass | Unknown | today |
| 37 | Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration | Arize-ai/ | 12k | — | ~3.8k | Automated safety check: Pass | MIT | today |
| 38 | 38.Datasets Understand what a Phoenix dataset is and reason well about its examples, outputs, splits, and how it feeds evaluators and experiments. | Arize-ai/ | 12k | — | ~1.6k | Automated safety check: Pass | Unknown | today |
| 39 | Configure and interpret the Phoenix plugin for Harbor agent evaluations. | Arize-ai/ | 12k | — | ~3.4k | Automated safety check: Warn | Apache-2.0 | today |
Questions, answered from the data.
What is the best skill in Arize-ai/phoenix?
Harbor Exec from Arize-ai/phoenix ranks first of the 39 skills in Arize-ai/phoenix listed here, with the highest score: its repository has 12k GitHub stars, its SKILL.md loads about 909 tokens and it passes the automated safety check with no findings. Next come Mintlify and Phoenix Frontend.
Are the skills in Arize-ai/phoenix official?
None yet. All 39 skills in Arize-ai/phoenix listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from Arize-ai/phoenix?
Run npx skills add Arize-ai/phoenix in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.