clade-reliability-patterns
Build fault-tolerant Claude integrations \u2014 retries, circuit breakers,\n\ Use when working with reliability-patterns patterns.\nfallbacks, timeouts, and graceful\ \ degradation.\nTrigger with \"anthropic reliability\", \"claude fault tolerance\"\ ,\n\"anthropic circuit breaker\", \"claude fallback\".\n"
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-reliability-patterns --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.
# Anthropic Reliability Patterns ## Overview Build fault-tolerant Claude integrations with built-in SDK retries, model fallback chains (Sonnet → Haiku), circuit breakers to avoid hammering a failing API, graceful degradation with cached/static responses, and per-request timeout configuration. ## Built-In SDK Retries The SDK retries 429 (rate limit) and 529 (overloaded) automatically: ```typescript
What does the clade-reliability-patterns skill do?
Build fault-tolerant Claude integrations \u2014 retries, circuit breakers,\n\ Use when working with reliability-patterns patterns.\nfallbacks, timeouts, and graceful\ \ degradation.\nTrigger with \"anthropic reliability\", \"claude fault tolerance\"\ ,\n\"anthropic circuit breaker\", \"claude fallback\".\n"
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill clade-reliability-patterns --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.
