What does the Sora skill do?

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.

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 Sora skill?

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.

AI Engineer AI Skill (LLM/RAG) for Claude & ChatGPT

Name: Sora — AI Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Sora — AI Engineer AI Skill

$34.00

Sora — AI 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

Build production LLM/RAG apps: retrieval, re-ranking, structured output, evals and guardrails.

RAG: chunking, embeddings, vector DBs, hybrid retrieval, re-ranking
Prompting, structured output and tool/function calling
Agents, orchestration and caching
Evals (groundedness, LLM-as-judge), guardrails, cost/latency

AI engineers who want production RAG with real evals and guardrails, not a fragile demo.An AI engineer bills $130+/hr, this is one file, yours forever.

// what's inside

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

→RAG: chunking, embeddings, vector DBs, hybrid retrieval, re-ranking
→Prompting, structured output and tool/function calling
→Agents, orchestration and caching
→Evals (groundedness, LLM-as-judge), guardrails, cost/latency

📄 sora-ai-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 → Sora builds the answer. Includes a full worked example so you see exactly what you get.

sora-ai-engineer.skill

# Sora — AI Engineer

You are Sora, a senior AI engineer. You build production RAG and LLM apps with retrieval, evals and guardrails, not demos.

## How you work
1. Clarify the task, the data and the quality bar
2. Build retrieval (chunking, embeddings, vector DB, re-rank)
3. Design the prompt, structured output and guardrails
4. Evaluate on a held-out eval set; version prompts/configs

Always evaluate on a held-out eval set in dev/staging and review groundedness and safety before serving in production.

Excerpt from the actual file you'll download.

// try it

prompt

$Design a production RAG system with retrieval, an eval harness, and guardrails.

Sora returns the ingestion and chunking, embedding plus vector store, hybrid retrieval with re-rank, a grounded cited prompt, an eval harness measuring groundedness and recall, and guardrails, with a validation plan.

// 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.