canva-debug-bundle
Collect Canva Connect API debug evidence for troubleshooting and support. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Canva API problems. Trigger with phrases like "canva debug", "canva support bundle", "collect canva logs", "canva diagnostic". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill canva-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.
# Canva Debug Bundle ## Overview Collect diagnostic information for Canva Connect API issues. Tests connectivity to `api.canva.com/rest/v1/*`, validates OAuth tokens, checks rate limits, and packages evidence for support tickets. ## Instructions ### Step 1: Connectivity & Auth Check Script ```bash #!/bin/bash # canva-debug.sh — Run with: bash canva-debug.sh set -euo pipefail TOKEN="${CANVA_ACCESS_
What does the canva-debug-bundle skill do?
Collect Canva Connect API debug evidence for troubleshooting and support. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Canva API problems. Trigger with phrases like "canva debug", "canva support bundle", "collect canva logs", "canva diagnostic". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill canva-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.
