deployment-patterns
OfficialDeployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: deployment-patterns description: Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. origin: ECC --- # Deployment Patterns Production deployment workflows and CI/CD best practices. ## When to Activate - Setting up CI/CD pipelines - Dockerizing an application - Planning deployment strategy (blue-green, canary, rolling) - Implementing health checks and readiness probes - Preparing for a production release - Configuring environment-specific settings ## Deployment Strategies ### Rolling Deployment (Default) Replace instances gradually — old and new versions run simultaneously during rollout. ``` Instance 1: v1 → v2 (update first) Instance 2: v1 (still running v1) Instance 3: v1 (still running v1) Instance 1: v2 Instance 2: v1 → v2 (update second) Instance 3: v1 Instance 1: v2 Instance 2: v2 Instance 3: v1 → v2 (update last) ``` **Pros:** Zero downtime, gradual rollout **Cons:** Two versions run simultaneously — requires backward-compatible changes **Use when:** Standard deployments, backward-compatible changes ### Blue-Green Deployment Run two identical environments. Switch traffic atomically. ``` Blue (v1) ← traffic Green (v2) idle, running new version # After verification: Blue (v1) idle (becomes standby) Green (v2) ← traffic ``` **Pros:** Instant rollback (switch back to blue), clean cutover **Cons:** Requires 2x infrastructure during deployment **Use when:** Critical services, zero-tolerance for issues ### Canary Deployment Route a small percentage of traffic to the new version first. ``` v1: 95% of traffic v2: 5% of traffic (canary) # If metrics look good: v1: 50% of traffic v2: 50% of traffic # Final: v2: 100% of traffic ``` **Pros:** Catches issues with real traffic before full rollout **Cons:** Requires traffic splitting infrastructure, monitoring **Use when:** High-traffic services, risky chan
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Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-cdcf76cb-fd93-4ba0-b41a-b44e7c92fb69",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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