error-recovery-retry
Design robust error recovery, retry logic, and fallback strategies for production AI agents. Covers transient failure handling, circuit breakers, exponential backoff, state recovery, graceful degradation, and dead-letter queues for agent systems.
Profile →npx skills add cosmicstack-labs/mercury-agent-skills --skill error-recovery-retry --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.
# Error Recovery & Retry Logic for Agents ## Overview Agents fail. APIs time out. Models return garbage. Tools throw exceptions. The difference between a production-grade system and a prototype is how gracefully it fails. This skill covers comprehensive error recovery patterns — from simple retries to circuit breakers, stateful recovery, and human escalation paths. --- ## Core Concepts ### Failure
What does the error-recovery-retry skill do?
Design robust error recovery, retry logic, and fallback strategies for production AI agents. Covers transient failure handling, circuit breakers, exponential backoff, state recovery, graceful degradation, and dead-letter queues for agent systems.
How do I install it?
Run `npx skills add cosmicstack-labs/mercury-agent-skills --skill error-recovery-retry --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 cosmicstack-labs/mercury-agent-skills, a repository with 364 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.