Skilldex: A Package Manager and Registry for Agent Skill Packages with Hierarchical Scope-Based Distribution
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arXiv:2604.16911v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a well-known directory. Community install tooling and registries exist, but two gaps persist: no public tool scores skill packages against Anthropic's published format specification, and no mechanism bundles related skills with the shared context they need to remain mutually coherent. We present Skil
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 18 Apr 2026]
Skilldex: A Package Manager and Registry for Agent Skill Packages with Hierarchical Scope-Based Distribution
Sampriti Saha, Pranav Hemanth
Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a well-known directory. Community install tooling and registries exist, but two gaps persist: no public tool scores skill packages against Anthropic's published format specification, and no mechanism bundles related skills with the shared context they need to remain mutually coherent. We present Skilldex, a package manager and registry for agent skill packages addressing both gaps. The two novel contributions are: (1) compiler-style format conformance scoring against Anthropic's skill specification, producing line-level diagnostics on description specificity, frontmatter validity, and structural adherence; and (2) the skillset abstraction, a bundled collection of related skills with shared assets (vocabulary files, templates, reference documents) that enforce cross-skill behavioral coherence. Skilldex also provides supporting infrastructure: a three-tier hierarchical scope system, a human-in-the-loop agent suggestion loop, a metadata-only community registry, and a Model Context Protocol (MCP) server. The system is implemented as a TypeScript CLI (skillpm / spm) with a Hono/Supabase registry backend, and is open-source.
Comments: 8 pages, 1 figure, 5 tables. IEEE conference format
Subjects: Artificial Intelligence (cs.AI)
ACM classes: D.2.7; K.6.3
Cite as: arXiv:2604.16911 [cs.AI]
(or arXiv:2604.16911v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2604.16911
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Submission history
From: Sampriti Saha [view email]
[v1] Sat, 18 Apr 2026 08:42:11 UTC (17 KB)
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