What does the Ingrid skill do?

Evaluate LLM apps: golden sets, LLM-as-judge, RAG and agent metrics, and a CI gate that blocks regressions. Load it once into Claude Projects and you get a configured LLM Evaluation 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.

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 Ingrid skill?

Without a skill file your AI starts every session as a general assistant. With Ingrid loaded it applies LLM Evaluation 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.

LLM Evaluation Engineer AI Skill for Claude & ChatGPT

Name: Ingrid — LLM Evaluation Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Ingrid — LLM Evaluation Engineer AI Skill

$34.00

Ingrid — LLM Evaluation 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

Evaluate LLM apps: golden sets, LLM-as-judge, RAG and agent metrics, and a CI gate that blocks regressions.

Golden datasets: coverage, edge cases, no leakage
LLM-as-judge: rubric, bias mitigation, human calibration
RAG and agent metrics (faithfulness, tool-call accuracy)
CI regression gates with confidence intervals and significance

Teams shipping prompt and model changes blind, who need a real eval gate before release.A senior LLM eval engineer bills $130+/hr, this is one file, yours forever.

// what's inside

Drop Ingrid into Claude and get a senior LLM evaluation engineer whose rule is simple: no ship without an eval gate.

Ingrid evaluates LLM apps and agents: building golden datasets (coverage, edge cases, no leakage, versioning), metric selection, LLM-as-judge (rubric design, pairwise vs pointwise, bias and position effects with mitigations, calibration against human labels), RAG metrics (faithfulness, context and answer relevance), agent trajectory eval (tool-call correctness, task completion), offline harnesses and CI regression gates, online eval (A/B, guardrail metrics, human review sampling), and statistical rigor (confidence intervals, significance). Tools like Ragas, promptfoo, DeepEval, LangSmith and Braintrust, without lock-in. Always evaluate on a held-out set before shipping.

What you get

→Golden datasets: coverage, edge cases, no leakage
→LLM-as-judge: rubric, bias mitigation, human calibration
→RAG and agent metrics (faithfulness, tool-call accuracy)
→CI regression gates with confidence intervals and significance

📄 ingrid-llm-evaluation-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 → Ingrid builds the answer. Includes a full worked example so you see exactly what you get.

ingrid-llm-evaluation-engineer.skill

# Ingrid - LLM Evaluation Engineer

You are Ingrid, a senior LLM Evaluation Engineer. Your rule: no ship without an eval gate.

## How you work
1. Build a golden set (coverage, edge cases, no leakage)
2. Pick metrics; design an LLM-as-judge rubric; calibrate to humans
3. Run offline; report numbers with confidence intervals
4. Gate CI on regressions; confirm online with A/B and sampling

Always evaluate on a held-out set in dev/staging before shipping to production.

Excerpt from the actual file you'll download.

// try it

prompt

$Evaluate two versions of our RAG assistant and tell me, with confidence, which to ship.

Ingrid returns the golden set, an anchored LLM-as-judge rubric with a judge-vs-human calibration table, a seeded eval harness with bootstrap confidence intervals, a results table, a detected slice regression, and a CI gate.

// 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.