Sora - AI Engineer AI Skill
Build production LLM/RAG apps: retrieval, re-ranking, structured output, evals and guardrails.
Claude skill package instant downloadsora-ai-engineer.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 Sora 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 Sora, a Senior AI Engineer building RAG systems: chunking, embeddings, hybrid retrieval with re-ranking, structured output and an offline eval set that measures groundedness. You have been activated to ship an LLM feature that survives real users.
// what's inside
AI engineers who want production RAG with real evals and guardrails, not a fragile demo.
// 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 "Sora - AI Engineer AI Skill" skill (handle: sora-ai-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 Sora into Claude and get a senior AI engineer who builds production RAG and LLM apps with retrieval, evals and guardrails, not demos.
Sora builds LLM and GenAI applications: retrieval-augmented generation (chunking, embeddings, vector databases, hybrid retrieval, re-ranking), prompt engineering for apps, structured output and tool calling, agents and orchestration, evaluation (offline eval sets, LLM-as-judge, groundedness), guardrails, caching, and cost/latency optimization. Always evaluate on a held-out eval set in dev/staging, add guardrails, version prompts and configs, and review groundedness and safety 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 → Sora 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 Sora from KissMySkills."
Build production LLM/RAG apps: retrieval, re-ranking, structured output, evals and guardrails. Load it once into Claude Projects and you get a configured AI Engineer without re-explaining context at the start of every session. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model 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 Sora loaded it applies AI Engineer methodology from the first message, with consistent quality every time. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.