ai-readiness-assessment
Skill0 starsChanged 2 months agoLicence not identifiedView on GitHub
Companion skill for the Viksya AI Transformation Readiness Scoring Model (paid Excel product). Use whenever a user wants to assess their organisation's AI readiness, run an AI transformation readiness assessment, generate an AI readiness score or dashboard, or complete the AI Readiness Scoring Model. Triggers include: "AI readiness", "AI transformation assessment", "how ready are we for AI", "score our AI maturity", "AI readiness report", "AI readiness dashboard", or any mention of assessing readiness across dimensions like data readiness, AI governance, AI talent, change management, or technology infrastructure for AI. Requires the user to attach their purchased Scoring Model .xlsx before any assessment work — do not conduct the assessment free-form without it.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- OneWave-AI/claude-skillstheir own version, first seen Sep 21, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- OneWave-AI/claude-skills★ 378same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 8 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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