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Public repository for Agent Skills
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anthropics/skills 被追踪为 Python 项目，主要属于 AI Agent 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则，而不是复制项目文档。
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热度
162k 星标
复用
19k 复刻
关注
162k 关注者
维护
active
许可证
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1.0k
This repository contains Anthropic's implementation of skills for Claude—folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. It includes example skills for creative, technical, and enterprise workflows, as well as document creation skills.
Key Features
- Skills are self-contained folders with a SKILL.md file containing instructions and metadata. - Includes example skills for creative, technical, and enterprise use cases. - Can be used in Claude Code, Claude.ai, and the Claude API.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
/plugin marketplace add anthropics/skills100
健康评分
活跃
提交活跃度
Sep 22, 2025
创建于
Jul 17, 2026
最近提交
+9.3k
今日增长
+9.4k
7天增长
+9.4k
30天增长
复刻
未解决
关注者
anthropics
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✗
License
✓
Forked
✓ Active
Maintained
Problem Solved
Skills solves the problem of making AI agents adaptable to specific, repeatable tasks without requiring fine-tuning or complex prompt engineering. Unlike generic approaches, skills provide a structured, shareable, and version-controlled way to teach Claude specialized workflows, from brand-compliant document creation to data analysis pipelines.
Capabilities
Developers can build custom skills for creative applications (art, music, design), technical tasks (testing web apps, MCP server generation), enterprise workflows (communications, branding), and document creation/editing (docx, pdf, pptx, xlsx). The ceiling includes production-grade document skills used in Claude's own capabilities, enabling complex multi-step agents that follow precise organizational guidelines.
Bottom Line
Skills is ideal for developers and organizations using Claude who need repeatable, specialized workflows without fine-tuning. It is less suitable for those seeking a model-agnostic agent framework or who prefer simpler prompt-based approaches. The key trade-off is deep integration with Claude's ecosystem versus broader interoperability.