python-resilience
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
Profile →npx skills add wshobson/agents --skill python-resilience --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.
# Python Resilience Patterns Build fault-tolerant Python applications that gracefully handle transient failures, network issues, and service outages. Resilience patterns keep systems running when dependencies are unreliable. ## When to Use This Skill - Adding retry logic to external service calls - Implementing timeouts for network operations - Building fault-tolerant microservices - Handling rate limiting and backpressure - Creating infrastructure decorators - Designing circuit breakers ## Core Concepts ### 1. Transient vs Permanent Failures Retry transient errors (network timeouts, temporary service issues). Don't retry permanent errors (invalid credentials, bad requests). ### 2. Exponential Backoff Increase wait time between retries to avoid overwhelming recovering services. ### 3. Jitter Add randomness to backoff to prevent thundering herd when many clients retry simultaneously. ### 4. Bounded Retries Cap both attempt count and total duration to prevent infinite retry loops. ## Quick Start ```python from tenacity import retry, stop_after_attempt, wait_exponential_jitter @retry( stop=stop_after_attempt(3), wait=wait_exponential_jitter(initial=1, max=10), ) def call_external_serv
- When to Use This Skill
- Core Concepts
- 1. Transient vs Permanent Failures
- 2. Exponential Backoff
- 3. Jitter
- 4. Bounded Retries
- Quick Start
- Fundamental Patterns
- Pattern 1: Basic Retry with Tenacity
- Pattern 2: Retry Only Appropriate Errors
- Pattern 3: HTTP Status Code Retries
- Pattern 4: Combined Exception and Status Retry
- Detailed worked examples and patterns
- Best Practices Summary
What does the python-resilience skill do?
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
How do I install it?
Run `npx skills add wshobson/agents --skill python-resilience --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 wshobson/agents, a repository with 38,479 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.