Screened · automated checks passed

arize-prompt-optimization

from github/awesome-copilot · ★ 36,648 on GitHub · found by our crawler 2026-07-07

What the author says it does

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

Quoted from the skill's own SKILL.md trigger description — this is what tells Claude when to activate it. Not yet verified by us.

Automated screening

100/100 validator score

Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.

Install (unverified — review first)

git clone https://github.com/github/awesome-copilot
# skill lives at: skills/arize-prompt-optimization/SKILL.md

SkillProof status

This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.

Already tested in Data & Analytics

  • Statistical Analysis ★ 10.0/10 Enforces frame-inspect-check-assumptions-effect-size-APA-report pipeline for hypothesis tests; bundled Shapiro-Wilk/Levene's script actually runs.
  • CocoIndex ★ 10.0/10 Turns vague 'build me a RAG pipeline' requests into working CocoIndex flow code with the real API syntax.
  • Crawl4AI ★ 10.0/10 Wraps the Crawl4AI browser scraper for JS-heavy sites, batch crawls, and LLM-free schema extraction.
  • National Team Position ★ 10.0/10 Fetches real Shanghai Exchange ETF-share data to estimate China's 'national team' broad-base ETF positioning.

Top 10 Data skills, ranked →