Agent skill · DevOps & Cloud

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 syste

wondelaigithub.com/wondelaiGitHub ↗
claude-codeMIT
Install
npx skills add wondelai/skills --skill release-it --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.4.0
Declared author: wondelai
Path: release-it/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,835
Language: Shell
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Core Principle
  2. Scoring
  3. The Release It! Framework
  4. 1. Stability Anti-Patterns
  5. 2. Stability Patterns
  6. 3. Capacity and Availability
  7. 4. Deployment and Release
  8. 5. Health Checks and Observability
  9. 6. Adaptation and Chaos Engineering
  10. Common Mistakes
  11. Quick Diagnostic
  12. Further Reading
  13. About the Author
Ships with 6 files
  • references/anti-patterns.md
  • references/capacity-planning.md
  • references/chaos-engineering.md
  • references/deployment-strategies.md
  • references/observability.md
  • references/stability-patterns.md
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About this skill
What does the release-it skill do?

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 syste

How do I install it?

Run `npx skills add wondelai/skills --skill release-it --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 wondelai/skills, a repository with 1,835 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.

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