maxvaega/skillkit

기술 키트

Anthropic의 Agent Skills 기능성을 python Agent, unleashing LLM-powered Agent를 자율적으로 발견하고 토큰 효율적인 방법으로 패키지 전문 지식을 활용할 수 있습니다. Skillkit는 기존 기술(SKILL.md)과 호환되므로 웹에서 사용할 수 있는 모든 기술을 검색하고 사용할 수 있습니다.

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특징

• ** 기존 기술과 호환 ** : 기존 기술은 직접 복사 할 수 있으며 변경이 필요하지 않습니다. -Framework-free: 프레임워크 없이 사용할 수 있으며, 다른 프레임워크(현재 LangChain과 호환 가능)
• 모델 -agnostic: 모든 LLM과 함께 작동합니다.
• **Multi-source 기술 발견 **: 프로젝트에서, Anthropic config, 플러그인 및 우선 순위 기반 충돌 해결과 사용자 정의 디렉토리
• **YAML frontmatter 파싱 ** 종합 검증 -Progressive disclosure pattern (metadata-first 로드, 80% 메모리 감소, 레벨 2 콘텐츠 캐싱) -Script 실행: Python, Shell, JavaScript, Ruby, Perl 스크립트를 종합 보안 컨트롤으로 실행

Enables Anthropic’s Agent Skills functionality to any python agent, unleashing LLM-powered agents to autonomously discover and utilize packaged expertise in a token-efficient way. skillkit is compatible with existings skills (SKILL.md), so you can browse and use any skill available on the web

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Features

• Fully compatible with existing skills: existing skills can be copied directly, no change needed
• Framework-free: can be used without any framework, or with other frameworks (currently only compatible with LangChain - more coming in the future!)
• Model-agnostic: Works with any LLM
• Multi-source skill discovery: From project, Anthropic config, plugins, and custom directories with priority-based conflict resolution
• YAML frontmatter parsing with comprehensive validation
• Progressive disclosure pattern (metadata-first loading, 80% memory reduction, Level 2 content caching)
• Script execution: Execute Python, Shell, JavaScript, Ruby, and Perl scripts from skills with comprehensive security controls
• Plugin ecosystem: Full support for Anthropic’s MCPB plugin manifests with namespaced skill access
• Nested directory structures: Discover skills in any directory hierarchy up to 5 levels deep
• Security features: Input validation, size limits, suspicious pattern detection, path security, secure file resolution, script sandboxing

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Why Skills Matter?

What Skills Are

Agent Skills are modular capability packages that work like “onboarding guides” for AI. Each skill is a folder containing a SKILL.md file (with YAML metadata + Markdown instructions) plus optional supporting files like scripts, templates, and documentation. The Agent autonomously discovers and loads skills based on task relevance using a progressive disclosure model—first reading just the name/description metadata, then the full SKILL.md if needed, and finally any referenced files only when required.

Why Skills Matter