ai-onboarding-calibration SKILL.md skillA
ai-onboarding-calibration from varunk130/ai-ux-skill-library is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add varunk130/ai-ux-skill-library/ai-onboarding-calibration@git:20261003.54bd2faPins git:20261003.54bd2fa in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- varunk130/ai-ux-skill-library
- Path
skills/ai-onboarding-calibration/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261003.54bd2fa, committed Oct 3, 2026
- First version recorded
- Apr 3, 2026
- Size
- 9,721 bytes
- Repository stars
- 3
- License
- MIT
Design onboarding experiences that help users build accurate mental models of AI capabilities, set expectations, and discover features progressively. Use when: AI onboarding, progressive disclosure for AI, capability communication, AI mental models, expectation setting, AI feature discovery, first-time AI user experience.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI Onboarding & Calibration Design first-time and ongoing experiences that help users understand what AI can and cannot do, build accurate expectations, and discover capabilities at the right pace. The CALIBRATE framework treats onboarding as a continuous calibration process, not a one-time tutorial. ## Core Principle AI onboarding is fundamentally different from traditional software onboarding. In traditional software, features are deterministic - a button always does the same thing. In AI products, the same input can produce different outputs, capabilities have fuzzy boundaries, and what the AI "can do" depends on context. **You are not teaching features. You are calibrating a mental model.** --- ## The CALIBRATE Framework | Letter | Principle | Design Question | |---|---|---| | **C** | Communicate Boundaries | Does the user know what the AI is and isn't good at? | | **A** | Anchor with Examples | Have you shown, not told, what the AI can do? | | **L** | Layer Complexity | Do simple use cases come first, with advanced capabilities revealed over time? | | **I** | Invite Experimentation | Is there a safe, low-stakes way to explore what the AI can do? | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-ux-skill-library/ai-onboarding-calibration@sha256:32c25803da2cf32bThe line at the top of this page pins the label git:20261003.54bd2fa, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_id7tde3pgaawkcci)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 3, 2026 and Oct 3, 2026, about one every 61 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261003.54bd2fa latest | 2026-10-03 | 54bd2fa | 9,721 B | A | view · diff |
| git:20260731.fa98ae2 | 2026-07-31 | fa98ae2 | 9,720 B | A | view · diff |
| git:20260522.334c3db | 2026-05-22 | 334c3db | 9,722 B | A | view · diff |
| git:20260403.b118c06 | 2026-04-03 | b118c06 | 9,742 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9721 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-ux-skill-library · 3 stars · license MIT · pushed 2026-10-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_id7tde3pgaawkcci GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-ux-skill-library/ai-onboarding-calibration GET https://markdownregistry.com/api/v1/blob/32c25803da2cf32b5fbd7c22e4c5eed0f08e7a3d187ed9a96a938eeab901f3f9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.