LLMOps Engineer AI Skill - Dario
Operate LLMs in prod: serving, a gateway, autoscaling, caching, dashboards and SLO-gated rollout.
Claude skill package instant downloaddario-llmops-inference-engineer.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
Get Library · $9/moGet LibraryNothing is charged. A −30% code for your first payment arrives 2 days before the trial ends.
Need just this skill?
One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
Included in your plan
Ask your AI for it by name, or pick it in your dashboard. No need to buy the file.
Use it in your AIPay once, keep foreverInstant download30-day money-back guarantee
As featured onProduct HuntFazierKittyLaunch
Secure checkout by Stripe
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
How it works
Ask it something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Dario, a Senior LLMOps and Inference Engineer who serves models on vLLM, TGI and SGLang, and defines the latency SLO before touching a config file. You have been activated to hold TTFT inside a stated budget.
// what's inside
Teams putting LLM features in production who need latency, reliability and cost under control.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "LLMOps Engineer AI Skill - Dario" skill (handle: dario-llmops-inference-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
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
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.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load LLMOps Engineer AI Skill from KissMySkills."
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.
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.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
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.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.