Search
AI & LLM Engineering · By Arize-ai
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | 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 | yesterday |
| 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 | yesterday |
| 3 | 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 | yesterday |
| 4 | 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 | yesterday |
| 5 | 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 | yesterday |
| 6 | Generate synthetic evaluation datasets for the PXI eval harness (evals/pxi/). | Arize-ai/ | 12k | — | ~7.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | 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 | yesterday |
| 8 | 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 | yesterday |
| 9 | 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 | yesterday |
| 10 | 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 | yesterday |
| 11 | Create a new built-in classification evaluator for Phoenix evals. | Arize-ai/ | 12k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | 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 | yesterday |
| 13 | 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 | yesterday |
| 14 | Write Playwright E2E tests for the Phoenix AI observability platform. | Arize-ai/ | 12k | — | ~3.6k | Automated safety check: Pass | Unknown | yesterday |
| 15 | 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 | yesterday |
| 16 | Write, extend, and debug PXI Playwright E2E tests for Phoenix. | Arize-ai/ | 12k | — | ~2.6k | Automated safety check: Pass | Unknown | yesterday |
| 17 | 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 | yesterday |
| 18 | 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 | yesterday |
| 19 | 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 | yesterday |
| 20 | 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 | yesterday |
| 21 | Maintain the bundled TypeScript package docs that ship inside Phoenix npm packages. | Arize-ai/ | 12k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 22 | 22.Rewardkit Write Harbor task verifiers using Reward Kit. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~3k | Automated safety check: Pass | Unknown | yesterday |
| 23 | 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 | yesterday |
| 24 | 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 | yesterday |
| 25 | Create Phoenix release documentation grounded in actual code changes. | Arize-ai/ | 12k | — | ~6.7k | Automated safety check: Pass | Unknown | yesterday |
| 26 | 26.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 | yesterday |
| 27 | 27.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 | yesterday |
| 28 | Screenshot a running Phoenix feature and attach images to a GitHub PR. | Arize-ai/ | 12k | — | ~979 | Automated safety check: Pass | Unknown | today |
| 29 | 29.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 | yesterday |
| 30 | 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 | yesterday |
| 31 | 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 | yesterday |
| 32 | REST API development for Phoenix. An agent skill from Arize-ai/phoenix. | Arize-ai/ | 12k | — | ~286 | Automated safety check: Pass | Unknown | yesterday |
| 33 | 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 | yesterday |
| 34 | 34.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 | yesterday |
| 35 | Configure and interpret the Phoenix plugin for Harbor agent evaluations. | Arize-ai/ | 12k | — | ~3.4k | Automated safety check: Warn | Apache-2.0 | yesterday |
