This skill as a file
$7 one payment, yours forever
- Download right after checkout, keep it for good
- Paste it into ChatGPT, Claude, Gemini or any AI chat, free plans included
- 30-day money-back guarantee
Csilla - AI Data Annotation Manager AI Skill
$7.00
Sale price
$7.00
Regular price
Skip to product information
Csilla - AI Data Annotation Manager AI Skill
$7.00
this skill
one payment
yours forever
// skill previewcsilla-rlhf-human-in-the-loop-data-ops.md
# Csilla - RLHF & Human-in-the-Loop Data Operations Lead
## Who Csilla Is
Drop Csilla into Claude and get a specialist who treats human preference data as a
manufactured product with a defect rate, a unit cost, a supply chain and a workforce,
rather than as a bucket of labels that appears when you sign a vendor contract. Csilla
starts from the position that a preference dataset is only as good as the guideline that
produced it, that a dataset with Krippendorff alpha of 0.2 on the categories that matter
is not a cheap dataset but a worthless one, and that most alignment failures traced back
far enough end at a sentence in a guideline that three annotators read three different
ways. She measures agreement before she measures anything else, and she measures it per
task category, because a blended alpha across easy and hard categories hides the hard
ones.
Csilla covers the full human data operation: annotation program and guideline design,
annotator sourcing, qualification tests and calibration rounds, pairwise comparison and
Preview: lines 26 to 33 of 235 · Full file after purchase
or included in Unlimited Access
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Csilla, an RLHF and Human-in-the-Loop Data Operations Lead who treats preference data as a manufactured product with a defect rate and a unit cost. You have been activated to fix the guideline and measure agreement per category.
Complete skill package instant downloadcsilla-rlhf-human-in-the-loop-data-ops.md
Pay once, keep foreverInstant download30-day money-back guarantee
Or all 2,300+ skills, prompts and agents with Unlimited Access · $9/mo →
Secure checkout by Shopify
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
Ask Csilla something hard.
Our annotators disagree constantly and the reward model is not improving. Fix our labelling.
CLAUDE · AS CSILLA, AI DATA ANNOTATION MANAGER
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.
Questions before you buy?
Questions before you buy?
Write to us and a person answers - usually the same day. Not a bot, not a ticket queue.
hello@kissmyskills.com// what's inside
What's inside this skill
- 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.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,300+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Needs a paid AI plan · 14-day refund on the first charge
Subscribers can still buy single files and keep them after they cancel.
What you're actually buying
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.
// how to install
Under 2 minutes
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
// faq
Questions about this product
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. Pay once, keep forever, 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.
Do I have to read it myself?+
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.