adobe-prod-checklist
Execute Adobe production deployment checklist covering credential management, API health checks, rate limit configuration, and rollback procedures for Firefly Services, PDF Services, and I/O Events integrations. Trigger with phrases like "adobe production", "deploy adobe", "adobe go-live", "adobe launch checklist". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill adobe-prod-checklist --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.
# Adobe Production Checklist ## Overview Complete checklist for deploying Adobe API integrations to production, covering credential security, health monitoring, graceful degradation, and rollback procedures. ## Prerequisites - Staging environment tested and verified - Production OAuth credentials created in Developer Console - Deployment pipeline with secret injection - Monitoring and alerting inf
What does the adobe-prod-checklist skill do?
Execute Adobe production deployment checklist covering credential management, API health checks, rate limit configuration, and rollback procedures for Firefly Services, PDF Services, and I/O Events integrations. Trigger with phrases like "adobe production", "deploy adobe", "adobe go-live", "adobe launch checklist". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill adobe-prod-checklist --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.
