Skill Retriever semantic skill discovery for AI agents via 10K-category taxonomy

Skill Retriever AgentSkillOS-powered semantic skill retrieval for Hermes Agent. Pre-filters 1,200+ skills (998 community corpus + 211 Hermes skills) organized in a 10,000-category capability taxonomy to the top-5 most relevant per query. Runs as a Hermes pre_llm_call plugin — zero core modification, zero additional API cost (borrows your existing Hermes LLMs via borrow-mode). Why a Skill Tree? Pure semantic retrieval prioritizes textual similarity and misses skills that look unrelated in embedding space but are crucial for solving the task. Our LLM + Skill Tree navigates the capability hierarchy to surface non-obvious but functionally relevant skills. Left: Pure semantic retrieval is narrow and myopic.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.