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AI & LLM Engineering · Arize Phoenix · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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 |
| 2 | Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | 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 |
| 4 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | Create Phoenix release documentation grounded in actual code changes. | Arize-ai/ | 12k | — | ~6.7k | Automated safety check: Pass | Unknown | yesterday |
| 8 | Screenshot a running Phoenix feature and attach images to a GitHub PR. | Arize-ai/ | 12k | — | ~979 | Automated safety check: Pass | Unknown | today |
| 9 | 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 |
| 10 | Configure and interpret the Phoenix plugin for Harbor agent evaluations. | Arize-ai/ | 12k | — | ~3.4k | Automated safety check: Warn | Apache-2.0 | yesterday |
