🤖 AI Summary
Current autonomous AI agents lack verifiable, safe, and maintainable operational knowledge, resulting in executable yet unreliable outputs. To address this limitation, this work presents the largest open-source agent skill repository to date, comprising 216,938 structured skills—114,565 rigorously curated and 102,373 contributed by the community—spanning 24 domains. The project introduces SkillGate, a novel quality-gating mechanism, alongside an iterative source-grounding pipeline that ensures every skill is traceable to its original technical documentation or source code. Efficient offline retrieval and distribution are enabled through SQLite FTS5, facilitating scalable deployment while preserving fidelity and auditability of agent capabilities.
📝 Abstract
Autonomous AI agents can execute complex tasks with limited human review, yet they often lack the grounded operational knowledge to make their outputs not just executable but correct, secure, and maintainable. We introduce SkillCenter, to our knowledge the largest open skill library for agents by total count: 216,938 structured skills across 24 domain bundles. A SkillGate-filtered pipeline contributes 114,565 source-grounded skills from peer-reviewed journals, ArXiv, and over 24,000 technical sources, integrated with 102,373 community skills from GitHub and the ClawHub marketplace. We present the end-to-end framework that builds the pipeline subset: multi-source acquisition, an LLM-based quality gate (SkillGate), template-driven generation, iterative source-grounding, and quality-controlled publishing. Source grounding is a traceability guarantee: each retained claim maps to an exact quotation in its source. All skills ship as offline-searchable SQLite FTS5 bundles.