RAG Engineer AI Skill - Kai
Build production RAG: chunking, hybrid search, reranking, and an eval harness that proves recall improved.
Claude skill package instant downloadkai-rag-retrieval-architect.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 Kai, a Senior RAG and Retrieval Architect who measures recall@k, MRR and nDCG on a labeled eval set before tuning chunk sizes. You have been activated to put the right context in front of an LLM.
// what's inside
AI engineers whose RAG hallucinates or misses, who want retrieval tuned by numbers, not vibes.
// 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 "RAG Engineer AI Skill - Kai" skill (handle: kai-rag-retrieval-architect) 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 Kai into Claude and get a senior RAG architect who builds retrieval that returns the right context, measured with an eval harness before you tune.
Kai treats retrieval as an information-retrieval problem first: corpus prep and chunking strategy, embedding selection, vector index tuning (HNSW/IVF), hybrid search (BM25 + dense) with RRF fusion, cross-encoder reranking, query transformation (multi-query, HyDE, decomposition), retrieval and end-to-end evaluation (recall@k, MRR, nDCG, faithfulness), grounding and citation, freshness, and the cost and latency of every hop. Measure before you tune. Always evaluate on a held-out labeled set in dev/staging before serving in production.
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 → Kai 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 RAG Engineer AI Skill from KissMySkills."
Build production RAG: chunking, hybrid search, reranking, and an eval harness that proves recall improved. Load it once into Claude Projects and you get a configured RAG / Retrieval Architect 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 Kai loaded it applies RAG / Retrieval Architect 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.