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Agent Skills

AI Developer ToolsVerified90% conf

Open standard for AI agent instructions that enables agents to discover and use folders of instructions and resources

agentskills.io

Verified Data

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Founded2025

Company Profile

ModelOpen standard
VerticalAI agents, Developer tools
ClientsCursor, Amp, Letta, Firebender, Goose, GitHub, VS Code, Claude Code
BuyersSkill authors building capabilities for multiple agent products, compatible agent platforms enabling users to add new capabilities, teams and enterprises managing organizational knowledge

Strategic Analysis

Strategy

Open standard approach to enable cross-platform compatibility for AI agent capabilities. Targets three key markets: skill authors, agent platforms, and enterprises needing portable knowledge management. Originally developed by Anthropic to standardize agent instruction packaging.

Tactics

Released as open standard on December 18, 2025 to drive adoption across multiple AI platforms. Secured early adoption from major platforms including Cursor, GitHub, VS Code, and Claude Code. Focused on creating portable, version-controlled packages for organizational knowledge.

Competitive Positioning

Positioned as the universal standard for AI agent instructions, competing against proprietary agent instruction formats. Differentiates through cross-platform compatibility and backing by Anthropic. Aims to become the de facto standard like Docker containers for AI agents.

Marketing Approach

Developer-focused approach through open standard adoption and platform partnerships. Leverages Anthropic's credibility and existing relationships with major AI platforms. Community-driven growth through skill authors and platform integrations.

Notable

Originally developed by Anthropic and formally released on December 18, 2025

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Discovery Sources

Signals

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Evidence

github.com

Skills Catalog for Codex.

agentskills.io

30+ supporting platforms

github.com

Agent Skills 终极指南:快速入门、资源推荐、精选技能与工具集合 |The Ultimate Guide to Agent Skills: QuickStart, Resources, Featured&Toolkits