How does this skill handle unverified information?

It includes a dedicated 'Curate' phase that uses cross-validation and real-world testing to separate theoretical claims from actual results, preventing the adoption of 'paper-only' knowledge.

Can I use this for non-technical learning?

Yes, while useful for technical research, the methodology is domain-agnostic and works effectively for finance, marketing, design, and other professional fields.

What is the 4C framework used in this skill?

The 4C framework consists of four stages: Collect (gathering diverse sources), Curate (verifying and filtering information), Connect (building mental models), and Create (producing output to prove mastery).

How does this skill integrate with Claude Code's /evolve command?

The skill is configured to be automatically identified and loaded by the /evolve command when Claude detects keywords related to learning, research, or entering new domains.

Knowledge Acquisition 4C

Name: Knowledge Acquisition 4C
Author: miles990

bymiles990

•

学习与文档

Implements a systematic 4C methodology to help users research, verify, and master any new domain from scratch.

The Knowledge Acquisition 4C skill provides a structured framework for Claude to guide users through the process of mastering unfamiliar fields. By following the 4C process—Collect, Curate, Connect, and Create—the skill ensures that learning is not just about gathering data, but also about rigorous verification, logical synthesis, and practical application. It integrates the Dreyfus Model of skill acquisition and the Feynman Technique to help users move from novice to expert while building durable mental models and high-quality documentation.

主要功能

01Feynman Technique integration for simplifying complex concepts

02Four-phase systematic learning: Collect, Curate, Connect, and Create

03Information source hierarchy for tiered credibility assessment

04Dreyfus Model alignment to track progress from novice to expert

051 GitHub stars

06Rigorous verification standards to separate theory from practical reality

使用场景

01Rapidly onboarding into a completely new industry or technical domain

02Synthesizing fragmented research into structured knowledge maps

03Verifying theoretical data against real-world scenarios to avoid common pitfalls

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add miles990/claude-domain-skills knowledge-acquisition-4c

For use in Claude.ai and ChatGPT

Download Skill