Claude Skills
Claude Skills is a reusable skill extension system provided by Anthropic for the Claude AI assistant, allowing users to create and configure custom skills that adjust Claude's behavior, capability scope, or interaction preferences. The system is designed to enhance Claude's applicability in specific scenarios, enabling individuals and teams to personalize the AI assistant according to their needs without requiring deep technical development to achieve functional extensions.
Core Facts
Anthropic divides AI usage into three layers: the bottom layer of AI models, the middle layer of AI agents and prompts, and the top layer of Skills application.
Skills enable on-demand loading of specialized knowledge through a progressive disclosure mechanism, loading a particular type of expertise into context only when the task genuinely requires it.
Timeline (last 90 days)
Claude-Red's usage path is: clone the repository, load the required SKILL.md files into Claude's skills system, and then obtain enhanced methodological support on topics within the corresponding attack surface.
As Skills-type mechanisms become widespread, similar skill libraries targeting vertical domains are likely to become increasingly common.
The emergence of mechanisms such as Codex skills and Claude Skills shows that competition among AI programming tools is shifting from "model capability" to "ecosystem richness": whoever can provide more out-of-the-box high-quality skills will more easily be embedded in users' daily workflows.
Agent Skills was officially released by Anthropic in mid-October 2025, initially named Claude Skills
The progressive disclosure mechanism means that even if an Agent is equipped with hundreds of skills, the actual context usage during runtime may be equivalent to only that of an MCP solution using 3–5 tools.
All Facts (12)
Anthropic divides AI usage into three layers: the bottom layer of AI models, the middle layer of AI agents and prompts, and the top layer of Skills application.
80%VerifiedSkills enable on-demand loading of specialized knowledge through a progressive disclosure mechanism, loading a particular type of expertise into context only when the task genuinely requires it.
75%UnverifiedAnthropic工程师强调应构建小型、聚焦、可复用的技能让它们协同工作，而非构建试图做所有事情的巨型技能
90%UnverifiedAnthropic工程师的技能设计目标是每次使用后都变得更聪明，实现持续改进循环
80%UnverifiedSkills通过按需加载机制，仅在触发时才将skill.md内容载入上下文，平时几乎不占用Token配额
75%UnverifiedThe progressive disclosure mechanism means that even if an Agent is equipped with hundreds of skills, the actual context usage during runtime may be equivalent to only that of an MCP solution using 3–5 tools.
60%UnverifiedSkills的按需加载机制与传统提示词相比，对长对话和复杂任务场景的效率提升极为显著
60%UnverifiedClaude-Red's usage path is: clone the repository, load the required SKILL.md files into Claude's skills system, and then obtain enhanced methodological support on topics within the corresponding attack surface.
50%UnverifiedThe emergence of mechanisms such as Codex skills and Claude Skills shows that competition among AI programming tools is shifting from "model capability" to "ecosystem richness": whoever can provide more out-of-the-box high-quality skills will more easily be embedded in users' daily workflows.
50%UnverifiedClaude Skills建立在Anthropic的工具使用（Tool Use）和函数调用（Function Calling）能力之上
50%UnverifiedAs Skills-type mechanisms become widespread, similar skill libraries targeting vertical domains are likely to become increasingly common.
50%UnverifiedAgent Skills was officially released by Anthropic in mid-October 2025, initially named Claude Skills
50%