nginx
Nginx ops skill for configuring and operating Nginx as reverse proxy, web server, and ingress layer. Use for tasks like writing safe nginx.conf/server blocks, TLS, HTTP/2, caching, rate limiting, load balancing, observability, and troubleshooting 4xx/5xx, timeouts, and performance issues.
Best use case
nginx is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Nginx ops skill for configuring and operating Nginx as reverse proxy, web server, and ingress layer. Use for tasks like writing safe nginx.conf/server blocks, TLS, HTTP/2, caching, rate limiting, load balancing, observability, and troubleshooting 4xx/5xx, timeouts, and performance issues.
Teams using nginx should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/Nginx/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nginx Compares
| Feature / Agent | nginx | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Nginx ops skill for configuring and operating Nginx as reverse proxy, web server, and ingress layer. Use for tasks like writing safe nginx.conf/server blocks, TLS, HTTP/2, caching, rate limiting, load balancing, observability, and troubleshooting 4xx/5xx, timeouts, and performance issues.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# nginx Use this skill for Nginx 配置、发布与故障排查（ops）。 ## Defaults / assumptions to confirm - Nginx distribution and version (open source vs Plus) - Deployment: bare metal/VM, Docker, or Kubernetes ingress-controller - TLS termination location and certificate management - Upstream architecture (services, ports, health endpoints) ## Workflow 1) Understand traffic and requirements - Domains, paths, upstream services, expected QPS. - Timeouts, max upload size, websocket needs. - Caching requirements and security constraints. 2) Safe baseline config - Use explicit `server_name`, `listen`, and `default_server` strategy. - Set `client_max_body_size` intentionally. - Configure `proxy_*` headers correctly (Host, X-Forwarded-For, X-Request-Id). - Define `error_page` handling and static error responses if needed. 3) TLS / security - Use modern TLS settings; disable legacy protocols/ciphers. - Enable HSTS where appropriate. - Add basic security headers if not handled elsewhere. - Rate limit sensitive endpoints (login, OTP) with `limit_req`. 4) Performance - Enable gzip/brotli if appropriate. - Tune keepalive, buffers, and timeouts. - Use upstream keepalive and connection reuse. - Avoid expensive regex locations on hot paths. 5) Load balancing & resilience - Use upstreams with health checks (where available) and failover settings. - Configure retries carefully to avoid retry storms. - Support websocket upgrade when needed. 6) Observability - Access log format with request_id, upstream_time, status, bytes, user agent. - Error log level appropriate for production. - Export metrics if using nginx-prometheus-exporter or ingress metrics. 7) Troubleshooting checklist - 4xx: routing, auth, body size, CORS, client IP headers. - 5xx: upstream failures, timeouts, DNS issues, connection limits. - Timeouts: `proxy_read_timeout`, upstream latency, buffer/backpressure. - Performance: worker processes, file descriptors, CPU, TLS overhead. ## Outputs - Proposed config snippets with rationale. - Rollout plan (test config, reload vs restart, rollback steps). - Debug report (symptom → evidence → root cause → fix).
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