Integrate LaunchDarkly qualitative user feedback into a JavaScript/TypeScript codebase. Guides framework and design system detection, builds the sendFeedback utility and feedback widget matching existing project patterns. Use when the user wants to add a Give Feedback widget, collect user sentiment tied to feature flags, set up feedback collection, or wire up the $ld:feedback tracking event.
Install
npx skills add launchdarkly/ai-tooling --skill launchdarkly-flag-qualitative-feedback-setupnpx skills add launchdarkly/ai-tooling --skill launchdarkly-flag-qualitative-feedback-setup -a claude-code -gnpx skills add launchdarkly/ai-tooling --skill launchdarkly-flag-qualitative-feedback-setup -a codex -ggemini skills install https://github.com/launchdarkly/ai-tooling.git --path skills/feature-flags/launchdarkly-flag-qualitative-feedback-setupgh skill install launchdarkly/ai-tooling launchdarkly-flag-qualitative-feedback-setupgit clone --depth 1 https://github.com/launchdarkly/ai-tooling /tmp/launchdarkly__ai-tooling
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/launchdarkly__ai-tooling/skills/feature-flags/launchdarkly-flag-qualitative-feedback-setup ~/.claude/skills/launchdarkly-flag-qualitative-feedback-setup # Claude Code
cp -R /tmp/launchdarkly__ai-tooling/skills/feature-flags/launchdarkly-flag-qualitative-feedback-setup ~/.agents/skills/launchdarkly-flag-qualitative-feedback-setup # Codex, Cursor, Gemini CLI, Copilot, OpenCode