skills-proficiency-mapper

Map skill progressions to CEFR, Bloom's taxonomy, and DigComp frameworks.

Updated Nov 27, 2025
One-click install
npx skills add https://github.com/Rehan-Ul-Haq/physical-ai-robotics --skill skills-proficiency-mapper-rehan-ul-haq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skills-proficiency-mapper
Source: https://github.com/Rehan-Ul-Haq/physical-ai-robotics/tree/main/.claude/skills/skills-proficiency-mapper
Command: npx skills add https://github.com/Rehan-Ul-Haq/physical-ai-robotics --skill skills-proficiency-mapper-rehan-ul-haq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, requests, and includes references (resource) components.

What problem does it solve?

This Skill maps skill progressions to internationally recognized proficiency levels (CEFR) and Bloom's taxonomy, providing measurable indicators, progression coherence, and cross-cutting alignment with learning objectives and book scaffolding.

Core Features & Use Cases

  • Proficiency Mapping: Align skills to CEFR levels (A1–C1) and corresponding Bloom's cognitive levels.
  • Coherence Validation: Validate progression across chapters with naming, prerequisites, and connectivity checks.
  • Cross-Chapter Connectivity: Ensure skills connect to broader progression tracks and never regress.
  • Assessment Design Guidance: Inform assessments with proficiency-targeted item design.
  • References Integration: Leverages Bloom's alignment resources and CEFR references.

Quick Start

Provide a target skill and desired proficiency level; the mapper returns a progression track, required prerequisites, and suggested assessments to validate mastery.

Frequently Asked Questions about skills-proficiency-mapper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map skills to CEFR and Bloom's taxonomy levels?

Proficiency mapping aligns skills to CEFR levels (A1–C2) and Bloom's cognitive taxonomy by taking a target skill and desired proficiency level as input, then returning a progression track with measurable indicators, required prerequisites, and tiered assessment guidance across frameworks.

What is coherence validation in skill progression design?

Coherence validation checks that skill progressions across chapters follow logical ordering without regression, validate naming and prerequisite satisfaction, ensure connectivity within learning tracks, and confirm cross-framework alignment to prevent cognitive overload and unmet dependencies.

Can I use proficiency mapping for curriculum design and learning tracks?

Yes. This approach applies proficiency mapping to generate tiered indicators, validation checks, prerequisites, and cross-chapter connectivity for curriculum design, ensuring standardized, measurable progression levels and assessment designs that satisfy coherence and prerequisite requirements.

How does prerequisite validation prevent skill progression gaps?

Prerequisite validation checks connectivity between skills, identifies required foundational knowledge before advancing, validates that earlier chapters satisfy dependencies for later ones, and generates prerequisite lists to ensure learners have necessary prior mastery before tackling new material.

What frameworks does proficiency mapping integrate?

Proficiency mapping integrates CEFR, Bloom's taxonomy, and DigComp frameworks to provide standardized, internationally recognized proficiency levels, enabling consistent measurement across different learning objectives and supporting cross-cutting alignment for coherent skill progressions.

When should I validate cross-chapter connectivity in skill design?

Validate cross-chapter connectivity when designing curricula to ensure skills build logically, prerequisites are met before progression, cognitive load remains appropriate, assessment designs target correct proficiency levels, and no skill regresses or disconnects from the broader learning progression.