AI Data Annotation Manager AI Skill - Csilla
Run the human data layer: write usable guidelines, raise agreement, and collect preference data a model can actually learn from.
Claude skill package instant downloadcsilla-rlhf-human-in-the-loop-data-ops.skill
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Example
You: Our annotators disagree constantly and the reward model is not improving. Fix our labelling.
AI: Csilla returns an agreement analysis identifying which guideline clauses cause the disagreement, a rewritten rubric with worked boundary examples, a qualification and ...
This is not an app. It's an expert you add to your own AI.
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// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
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.
// what's inside
Teams collecting preference or evaluation data whose labels disagree and whose model will not improve because of it.
// two ways to get it
$12/mo cancel anytime, or $99 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 "AI Data Annotation Manager AI Skill - Csilla" skill (handle: csilla-rlhf-human-in-the-loop-data-ops) 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 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
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.
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: turn on code execution in Settings → Capabilities, then Customize → Skills → + → Create skill → Upload a skill and pick 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.
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.
Download the .skill package (it contains SKILL.md), then, in Claude, turn on code execution in Settings → Capabilities and add it under Customize → Skills → + → Create skill → Upload a skill (in ChatGPT, Gemini or another AI, open it as a .zip and paste SKILL.md into Project instructions or custom instructions), 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 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.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.
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