Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions they're trying to answer, and what patterns surface — without manually reading…
安装
npx skills add PostHog/ai-plugin --skill feature-usage-feednpx skills add PostHog/ai-plugin --skill feature-usage-feed -a claude-code -gnpx skills add PostHog/ai-plugin --skill feature-usage-feed -a codex -ggemini skills install https://github.com/PostHog/ai-plugin.git --path skills/feature-usage-feedgh skill install PostHog/ai-plugin feature-usage-feedgit clone --depth 1 https://github.com/PostHog/ai-plugin /tmp/PostHog__ai-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/PostHog__ai-plugin/skills/feature-usage-feed ~/.claude/skills/feature-usage-feed # Claude Code
cp -R /tmp/PostHog__ai-plugin/skills/feature-usage-feed ~/.agents/skills/feature-usage-feed # Codex, Cursor, Gemini CLI, Copilot, OpenCode