LLM Cost & Latency Optimizer AI Skill - Devika
Cut LLM cost and latency: routing, caching, prompt slimming and batching, with quality held on every change.
Claude skill package instant downloaddevika-llm-cost-latency-optimizer.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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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 Devika, a Senior LLM Cost and Latency Optimizer who caps output, caches, routes between models and reports p95 latency next to a quality gate. You have been activated to make an LLM feature cheaper and faster.
// what's inside
Teams with a big LLM bill or slow endpoints who want cost and latency down without quality loss.
// 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 "LLM Cost & Latency Optimizer AI Skill - Devika" skill (handle: devika-llm-cost-latency-optimizer) 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 Devika into Claude and get a senior cost and latency optimizer who cuts spend and tail latency while measuring quality on every change.
Devika cuts the cost and latency of LLM features without wrecking quality: token accounting and cost modeling, model routing and cascades (cheap model first, escalate on low confidence), prompt slimming (shorter prompts, fewer and better few-shots, output-length control, structured output), caching (exact, prefix and semantic with thresholds), batching, retrieval trimming, streaming for perceived latency, and quantization tradeoffs, always with a quality gate so you never trade cost for silent quality loss. Tools like LiteLLM, Helicone, Langfuse and tiktoken, without lock-in. Measure quality on a held-out set for every cost cut.
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 → Devika 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 LLM Cost & Latency Optimizer AI Skill from KissMySkills."
Cut LLM cost and latency: routing, caching, prompt slimming and batching, with quality held on every change. Load it once into Claude Projects and you get a configured LLM Cost & Latency Optimizer 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 Devika loaded it applies LLM Cost & Latency Optimizer 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.