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Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

Paper recorded by Signals 4 on 2026-09-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.AI · 人工智能 · first seen 2026-09-03

Abstract

Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this architecture still leaves domain-specific know-how outside the agent. We call this missing layer operational knowledge, the know-how that separates knowing a method from making it work. That knowledg

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#213 most recent of 300 cs.AI papers we have recorded · ↑ newer: Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Age · ↓ older: HiPoly: a hierarchical polymer-native AI framework for property predic
Cite this page: Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills: the #213 most recent of 300 cs.AI papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/repo-to-skill-distilling-github-repositories-into-ai4ai-skills.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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