Agent skill · wondelai
release-it
Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "deployment pipeline", "chaos engineering", "retry storm", "health checks", "my service keeps crashing", "prevent cascading failures", or "make it resilient". Also trigger when designing resilient microservices, planning zero-downtime deployments, or capacity-planning for peak load. Covers stability patterns, capacity planning, deploy/release decoupling, and observability. For data systems, see ddia-systems. For system architecture, see system-design.
What it needs
About 9k tokens when loaded.
What this skill does
Release It! Framework Framework for designing, deploying, and operating production-ready software. The software that passes QA is not the software that survives production — production is hostile, and systems must expect and handle failure at every level. Core Principle Every system will eventually be pushed beyond its design limits. The question is not whether failures happen, but whether your system degrades gracefully or collapses catastrophically. Production-ready software is not just correct — it is resilient, observable, and operates through partial failures without human intervention. Scoring Goal: 8/8. Score a production system by the Quick Diagnostic: 1 point per row answered "yes" across the 8 checks (timeouts, circuit breakers, bulkheads, zero-downtime deploy, deep health checks, correlated telemetry, load-tested past peak, failure injection). Bands: 7-8 = every integration point is bounded, isolated, observable, and deploy/release are decoupled; 4-5 = some patterns present but ≥3 diagnostic rows fail (e.g. unbounded retries, shared pools, shallow health checks); ≤2 = relies on the happy path with no breakers, no capacity model, no failure testing. Always state the current score, the failing rows, and the specific fix for each. The Release It! Framework Six areas that determine whether software survives contact with production: 1. Stability Anti-Patterns Core concept: Failures propagate through integration points and cascade across system boundaries. The most dangerous patterns are not bugs in your code — they are emergent behaviors when systems interact under stress. Why it works: These patterns recur across outages, so audit by name: walk every integration point and ask which anti-pattern it currently enables, then close that specific crack rather than hardening at random. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills wondelai/release-it--25662c