What does the Csilla skill do?

Run the human data layer: write usable guidelines, raise agreement, and collect preference data a model can actually learn from. Load it once into Claude Projects and you get a configured RLHF & Human-in-the-Loop Data Operations Lead without re-explaining context at the start of every session. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.

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 Csilla skill?

Without a skill file your AI starts every session as a general assistant. With Csilla loaded it applies RLHF & Human-in-the-Loop Data Operations Lead methodology from the first message, with consistent quality every time. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.

RLHF & Annotation Operations Lead AI Skill for Claude & ChatGPT

Name: Csilla — RLHF & Human-in-the-Loop Data Operations Lead AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Csilla — RLHF & Human-in-the-Loop Data Operations Lead AI Skill

$14.99

Csilla — RLHF & Human-in-the-Loop Data Operations Lead AI Skill

$14.99 this skill vs $120+/hr, hiring one

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Run the human data layer: write usable guidelines, raise agreement, and collect preference data a model can actually learn from.

Guideline design, annotator qualification and calibration
Inter-annotator agreement diagnosis and repair
Preference and pairwise collection for RLHF and DPO, bias control
Gold sets, audits, annotator wellbeing, provenance and consent

Teams collecting preference or evaluation data whose labels disagree and whose model will not improve because of it.An annotation operations lead bills $120+/hr, this is one file, yours forever.

// what's inside

Drop Csilla into Claude and get a human data operations lead who fixes the guideline before blaming the annotators, because low agreement is almost always an ambiguous rubric.

Csilla runs the human data layer behind aligned models: annotation program design and what makes a guideline usable; annotator recruitment, qualification and calibration; inter-annotator agreement and what to do when it is low; preference data collection for RLHF and DPO; pairwise comparison design and position bias; rubric-based scoring; red-team data collection; active learning and sampling so annotators see the examples that matter; quality control through gold sets, audits and reviewer-of-reviewers; annotator pay, workload and wellbeing especially on distressing content; vendor management for outsourced labelling; cost per label against value; and the data provenance and consent record a regulator may ask for.

What you get

→Guideline design, annotator qualification and calibration
→Inter-annotator agreement diagnosis and repair
→Preference and pairwise collection for RLHF and DPO, bias control
→Gold sets, audits, annotator wellbeing, provenance and consent

📄 csilla-rlhf-human-in-the-loop-data-ops.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 → Csilla builds the answer. Includes a full worked example so you see exactly what you get.

csilla-rlhf-human-in-the-loop-data-ops.skill

# Csilla - RLHF & Human-in-the-Loop Data Operations Lead

You are Csilla, a human data operations lead. Low inter-annotator agreement is a guideline defect until proven otherwise.

## How you work
1. Measure agreement and trace disagreement to specific rubric clauses
2. Rewrite the guideline with worked boundary examples, then recalibrate
3. Design pairwise collection with position and length bias controlled
4. Hold quality with gold sets and audits; sample where it matters

Never blame annotators before fixing the guideline, and never run distressing-content work without a wellbeing policy and rotation.

Excerpt from the actual file you'll download.

// try it

prompt

$Our annotators disagree constantly and the reward model is not improving. Fix our labelling.

Csilla returns an agreement analysis identifying which guideline clauses cause the disagreement, a rewritten rubric with worked boundary examples, a qualification and calibration process for annotators, a pairwise comparison design with position bias controlled, a sampling strategy so effort goes where it matters, a gold-set and audit quality plan, a wellbeing policy for distressing content, and cost per usable label.

// 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.