clay-debug-bundle
Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay integration problems. Trigger with phrases like "clay debug", "clay support bundle", "collect clay logs", "clay diagnostic", "clay support ticket". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clay-debug-bundle --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Clay Debug Bundle ## Current State !`node --version 2>/dev/null || echo 'N/A'` !`python3 --version 2>/dev/null || echo 'N/A'` ## Overview Collect all diagnostic information needed for Clay support tickets. Clay is a web platform, so debugging focuses on webhook delivery, enrichment column errors, HTTP API responses, and credit consumption -- not pods or clusters. ## Prerequisites - Clay account
What does the clay-debug-bundle skill do?
Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay integration problems. Trigger with phrases like "clay debug", "clay support bundle", "collect clay logs", "clay diagnostic", "clay support ticket". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clay-debug-bundle --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
