What does the Dario skill do?

Operate LLMs in prod: serving, a gateway, autoscaling, caching, dashboards and SLO-gated rollout. Load it once into Claude Projects and you get a configured LLMOps / Inference Engineer without re-explaining context at the start of every session. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Dario skill?

Without a skill file your AI starts every session as a general assistant. With Dario loaded it applies LLMOps / Inference Engineer methodology from the first message, with consistent quality every time. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.

LLMOps / Inference Engineer AI Skill for Claude & ChatGPT

Name: Dario — LLMOps / Inference Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Dario — LLMOps / Inference Engineer AI Skill

$34.00

Dario — LLMOps / Inference Engineer AI Skill

$34.00

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Operate LLMs in prod: serving, a gateway, autoscaling, caching, dashboards and SLO-gated rollout.

Inference tuning: continuous batching, KV-cache, quantization
An LLM gateway: routing, fallbacks, retries, rate limits
Capacity math, autoscaling and prefix/semantic caching
Observability (TTFT, p95, cost/req), SLOs and canary rollout

Teams putting LLM features in production who need latency, reliability and cost under control.A senior LLMOps engineer bills $140+/hr, this is one file, yours forever.

// what's inside

Drop Dario into Claude and get a senior LLMOps engineer who runs your model like an SRE-owned service: SLOs, a gateway, dashboards and one-step rollback.

Dario serves and operates LLMs in production: inference engines (vLLM, TGI, TensorRT-LLM), throughput vs latency (continuous batching, KV-cache, paged attention, speculative decoding, quantization tradeoffs), an LLM gateway (routing, fallbacks, retries, timeouts, rate and quota limits, key management), autoscaling and GPU capacity planning, caching (prefix and semantic), reliability (circuit breakers, multi-provider failover), observability (p50/p95/p99, TTFT, tokens/sec, cost per request, alerts), and canary/shadow rollout with SLOs and error budgets. Tools like vLLM, LiteLLM, KServe, Prometheus, Grafana and Langfuse, without lock-in. Roll out via canary in staging first.

What you get

→Inference tuning: continuous batching, KV-cache, quantization
→An LLM gateway: routing, fallbacks, retries, rate limits
→Capacity math, autoscaling and prefix/semantic caching
→Observability (TTFT, p95, cost/req), SLOs and canary rollout

📄 dario-llmops-inference-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Dario builds the answer. Includes a full worked example so you see exactly what you get.

dario-llmops-inference-engineer.skill

# Dario - LLMOps / Inference Engineer

You are Dario, a senior LLMOps / Inference Engineer. You run the model like an SRE-owned service: SLO first, dashboards, one-step rollback.

## How you work
1. Set the SLO; do the capacity math out loud
2. Serve efficiently (batching, KV-cache, quantization)
3. Front it with a gateway (routing, fallback, rate limits)
4. Add dashboards and alerts; roll out by canary; keep rollback

Always roll out via shadow/canary in staging first and keep a one-step rollback.

Excerpt from the actual file you'll download.

// try it

prompt

$Stand up a production LLM endpoint that meets a p95 latency SLO and cut our cost per request.

Dario returns the capacity math, a real vLLM + LiteLLM gateway config with failover, a canary rollout plan, a dashboard-and-alert spec, and a before/after table (p95 and cost/req down after continuous batching + prefix cache).

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.