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Sam-06060
GitHub 创作者资料

Sam-06060

按仓库查看 1 个 GitHub 仓库中的 761 个已收集 skills。

已收集 skills
761
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1
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2026-04-19
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仓库与代表性 skills

20-andruia-niche-intelligence
其他计算机职业

Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

2026-04-19
3d-web-experience
网页开发工程师

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.

2026-04-19
acceptance-orchestrator
软件开发工程师

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

2026-04-19
active-directory-attacks
信息安全分析师

Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.

2026-04-19
activecampaign-automation
软件开发工程师

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

2026-04-19
ad-creative
市场调研分析师与营销专员

Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.

2026-04-19
adhx
软件开发工程师

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

2026-04-19
advanced-evaluation
数据科学家

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

2026-04-19
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