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skills/knowledge-transfer/reference/adaptation-guide.md

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+# Adaptation Guide for New Contexts
+Map concepts from source → target domain.
+Identify analogies, differences, and edge cases.
+**Source**: Knowledge Transfer Framework

skills/knowledge-transfer/reference/create-day1-path.md

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+# Creating Day 1 Learning Paths
+Focus on: What they need to be productive immediately.
+Include: Core concepts, most-used workflows, where to get help.
+**Source**: Knowledge Transfer Framework

skills/knowledge-transfer/reference/learning-theory.md

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+# Learning Theory for Knowledge Transfer
+Progressive learning: crawl → walk → run
+Module mastery: complete one before next
+Validation checkpoints: verify understanding at milestones
+**Source**: Knowledge Transfer Framework

skills/knowledge-transfer/reference/module-mastery.md

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+# Module Mastery Approach
+Complete depth-first learning of one module before moving to next.
+**Criteria**: Can explain, apply, and adapt without reference.
+**Source**: Knowledge Transfer Framework

skills/knowledge-transfer/reference/overview.md

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+# Knowledge Transfer Methodology - Reference
+
+This reference documentation provides comprehensive details on the progressive learning methodology developed in bootstrap-011.
+
+## Core Documentation
+
+**Progressive Learning Path Pattern**: Time-boxed learning paths with validation checkpoints
+- Day-1: 4-8 hours (setup → understanding → first contribution)
+- Week-1: 20-40 hours (architecture → module mastery → meaningful contribution)
+- Month-1: 40-160 hours (expertise → significant feature → mentoring)
+
+**Learning Theory Principles Applied**:
+1. Progressive Disclosure: Gradual complexity increase
+2. Scaffolding: Decreasing support over time
+3. Validation Checkpoints: Self-assessment without external dependency
+4. Time-Boxing: Realistic time estimates
+
+## Knowledge Artifacts
+
+All knowledge artifacts from bootstrap-011 are documented in:
+`experiments/bootstrap-011-knowledge-transfer/knowledge/`
+
+**Templates** (3):
+- Day-1 Learning Path Template
+- Week-1 Learning Path Template
+- Month-1 Learning Path Template
+
+**Patterns** (1):
+- Progressive Learning Path Pattern
+
+**Principles** (1):
+- Validation Checkpoint Principle
+
+**Best Practices** (1):
+- Module Mastery Onboarding
+
+## Transferability
+
+**Overall**: 95%+ transferable to any software project
+
+**Cross-Language Validation**:
+- Go → Rust: 90-95% (6-8h adaptation)
+- Go → Python: 85-90% (8-10h adaptation)
+- Go → TypeScript: 80-85% (10-12h adaptation)
+
+**What Transfers Easily**:
+- Progressive learning pattern (time-boxed sections, validation checkpoints)
+- Validation checkpoint principle (self-assessment criteria)
+- Domain specialization framework (choose → deep dive → feature → ownership → mentoring)
+- Learning theory principles (progressive disclosure, scaffolding)
+
+**What Needs Adaptation**:
+- Module names (project-specific)
+- Technology stack (Go → other languages)
+- Project structure (internal/cmd → project layout)
+- Domain areas (5 areas → adapt to project size)
+
+## Experiment Results
+
+See full results: `experiments/bootstrap-011-knowledge-transfer/results.md`
+
+**Key Metrics**:
+- V_meta = 0.877 (CONVERGED)
+- 3-8x onboarding speedup validated
+- 4 iterations, ~8 hours total
+- 95%+ transferability

skills/knowledge-transfer/reference/progressive-learning-path.md

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+# Progressive Learning Path Design
+**Day 1**: Core concepts (30% coverage, 100% essentials)
+**Week 1**: Common workflows (70% coverage)
+**Month 1**: Complete mastery (100% coverage, edge cases)
+**Source**: Knowledge Transfer Framework

skills/knowledge-transfer/reference/validation-checkpoints.md

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+# Validation Checkpoints
+Check understanding at: 30%, 70%, 100% completion.
+Methods: Self-test, practical application, peer review.
+**Source**: Knowledge Transfer Framework