🛠️SkillOps Treats Agent Skills as Maintainable Software
TL;DR
SkillOps proposes managing an LLM agent's skill library like a software ecosystem. It models each skill as a typed contract, organizes them in a hierarchical skill graph, and scores library health across utility, compatibility, risk, and validation.
SkillOps proposes managing an LLM agent's skill library like a software ecosystem. It models each skill as a typed contract, organizes them in a hierarchical skill graph, and scores library health across utility, compatibility, risk, and validation.
Key Points
Represents each skill as a typed Skill Contract
Organizes skills in a Hierarchical Skill Ecosystem Graph
Diagnoses library health across utility, compatibility, risk, and validation dimensions
Submitted to arXiv on May 13, 2026 (2605.13716)
Why It Matters
As agents accumulate dozens of skills, treating that library as versioned, testable software is how teams avoid silent capability rot.
Quick Facts
Frequently Asked Questions
Why does this matter?
As agents accumulate dozens of skills, treating that library as versioned, testable software is how teams avoid silent capability rot.
What happened?
SkillOps proposes managing an LLM agent's skill library like a software ecosystem. It models each skill as a typed contract, organizes them in a hierarchical skill graph, and scores library health across utility, compatibility, risk, and validation.
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