AI Engineering/Phase 14/Lesson 10

Skill Libraries and Lifelong Learning (Voyager)

Voyager (Wang et al., TMLR 2024) treats executable code as a skill. Skills are named, retrievable, composable, and refined by environment feedback. This is the reference architecture for Claude Agent SDK skills, skillkit, and the 2026 skill-library pattern.

Build 1.3 hr Python (stdlib)

Prerequisites: Phase 14 · 07 (MemGPT), Phase 14 · 08 (Letta Blocks)

#Learning Objectives

Name Voyager's three components — automatic curriculum, skill library, iterative prompting — and the role of each.
Explain why Voyager makes the action space code, not primitive commands.
Implement a stdlib skill library with registration, retrieval, composition, and failure-driven refinement.
Map Voyager's pattern onto the 2026 Claude Agent SDK skills and the skillkit ecosystem.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.