构建全球最大开源技能库，让AI代理执行任务更准确安全。
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
- 从2.4万+技术源自动采集并筛选11万+有出处的技能
- 整合超10万来自GitHub等社区的技能，总数达21.7万
- 每条技能可溯源至原文引用，支持离线检索
自主AI代理虽能完成复杂任务且减少人工干预，但常缺乏可执行、正确、安全且可维护的操作知识。我们提出SkillCenter，据知是当前规模最大的开放技能库，共包含216,938个结构化技能，覆盖24个领域模块。通过SkillGate过滤管道，从同行评审期刊、ArXiv及超过24,000个技术来源中获取114,565个源基技能，并整合来自GitHub和ClawHub市场的102,373个社区技能。本文提出端到端框架：多源采集、基于大模型的质量门（SkillGate）、模板驱动生成、迭代源基化与质量控制发布。源基化确保可追溯性：每条保留主张均对应原文精确引述。所有技能以离线可搜的SQLite FTS5包形式提供。
原文摘要 · Abstract (English)
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.
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