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Get Started Free →jamestorrevillas/self-healing-mindset
Use this skill when designing resilient code, systems, or AI agents that recover from failure automatically. Also use for proactive resilience thinking — pre-mortems, failure mode analysis, chaos engineering, circuit breakers, retry logic, fallback strategies, and the developer self-improvement loop. Trigger on keywords: self-healing, resilience, fault tolerance, circuit breaker, retry, fallback, graceful degradation, chaos engineering, pre-mortem, failure mode, recovery, resilient design.
Passed 12 of 22 test cases with the skill, and 12 of 22 without it.
1 fixed11 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
After resolving a production incident, our team usually just closes the Jira ticket and posts a summary in Slack. What structured 4-step analysis loop should a developer perform after every bug to ensure systemic prevention?
| Checked | Without skill | With skill |
|---|---|---|
| Sequences the post-bug steps as Root Cause, Prevention, Detection, and System Fix. | Missed | Passed |
| Adds a rule or test as the programmatic System Fix. | Passed | Passed |
The instructions your model reads when the skill loads.
"Everything will eventually fail over time." — Werner Vogels, Amazon CTO
Self-healing is not a feature you add — it's a design philosophy you start with. The question is never "will this fail?" but "when this fails, what happens next?"
The shift: From reactive firefighting → proactive resilience engineering.
The same mindset applies at every level: code, systems, AI agents, and your own development practice.
Every self-healing system follows this pattern:
DETECT → Monitor signals (health checks, error rates, latency, business KPIs)
DECIDE → Select recovery strategy (retry, fallback, scale, restart, degrade)
ACT → Execute recovery (automatically or with human confirmation)
VERIFY → Confirm recovery succeeded
LEARN → Update the healing logic based on what worked
```text
This loop runs continuously. Design every system component with this loop in mind.
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## Resilience Patterns in Code
### Retry with Exponential Backoff
For transient failures (network timeouts, rate limits):
```typescript
async function withRetry<T>(
fn: () => Promise<T>,
maxAttempts = 3,
baseDelayMs = 1000
): Promise<T> {
test cases passed, vs 12 / 22 without
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