How does this skill improve onboarding speed?

By implementing progressive disclosure and scaffolding, it replaces unstructured mentoring with clear, self-service validation checkpoints, resulting in a 3-8x faster ramp-up.

What are the Day-1, Week-1, and Month-1 paths?

These are standardized templates: Day-1 focuses on setup and first contribution (4-8h), Week-1 on architecture (20-40h), and Month-1 on domain expertise and mentoring (40-160h).

What is the Knowledge Transfer skill for Claude Code?

It is a specialized capability that provides a structured methodology for onboarding and knowledge sharing, using time-boxed paths to help new developers reach productivity faster.

Is this skill language-specific?

No, the methodology is 95% transferable across any software project, including Go, Rust, Python, and TypeScript environments.

Knowledge Transfer Onboarding

Name: Knowledge Transfer Onboarding
Author: yaleh

byyaleh

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Learning & Documentation

Accelerates developer onboarding and institutional knowledge sharing through structured, time-boxed learning paths and validation checkpoints.

About

The Knowledge Transfer skill implements a systematic methodology for transitioning domain expertise to new contributors or team members. By utilizing principles of progressive disclosure and scaffolding, it provides customizable templates for Day-1, Week-1, and Month-1 learning paths. This skill is designed to reduce ramp-up time from months to days by establishing clear validation checkpoints and reducing reliance on manual 1-on-1 mentoring, ensuring institutional knowledge is preserved and easily accessible across any software stack.

Key Features

Built-in validation checkpoints for measuring progress
Validated 3-8x speedup in onboarding efficiency
15 GitHub stars
Three-tier learning path templates (Day-1, Week-1, Month-1)
Progressive disclosure patterns to prevent information overload
Scaffolding methodology to transition from guided to independent work

Use Cases

Preserving institutional knowledge before key team transitions
Onboarding new developers to complex legacy codebases
Scaling engineering teams without overwhelming senior mentors

About

Key Features

Built-in validation checkpoints for measuring progress
Validated 3-8x speedup in onboarding efficiency
15 GitHub stars
Three-tier learning path templates (Day-1, Week-1, Month-1)
Progressive disclosure patterns to prevent information overload
Scaffolding methodology to transition from guided to independent work

Use Cases

Preserving institutional knowledge before key team transitions
Onboarding new developers to complex legacy codebases
Scaling engineering teams without overwhelming senior mentors