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Claude Code Marketplaces

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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
alirezarezvani avatar

Eu Ai Act Specialist

alirezarezvani/claude-skills
394 installs24.6k stars
Summary

Built for anyone working with the EU AI Act who needs to quickly understand compliance requirements and risk classifications. It walks you through the regulation's framework, helps you figure out which category your AI system falls into, and explains what obligations apply. The source material is minimal, so you're getting interpretation assistance rather than a comprehensive legal database. Useful when you're doing initial scoping or need to explain the act's structure to stakeholders, but you'll still want to verify critical compliance questions with legal counsel. Think of it as a knowledgeable first pass, not a replacement for actual regulatory expertise.

Install to Claude Code

npx -y skills add alirezarezvani/claude-skills --skill eu-ai-act-specialist --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Git & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingProductivity & Planning
First SeenJun 3, 2026
View on GitHub

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evoscientist avatar
paper-rebuttal

evoscientist/evoskills

Guides writing effective rebuttals after receiving peer review feedback. Covers review diagnosis (score-driven color-coding), response strategy (champion identification, common-theme consolidation), tactical writing (18 rules), and counterintuitive rebuttal principles. Use when: user received reviewer scores/comments, needs to write a rebuttal or author response, wants to respond to specific criticism (e.g. 'limited novelty', 'missing baselines'), mentions 'rebuttal', 'reviewer comments', 'author response', or 'respond to reviewers'. Do NOT use for pre-submission self-review (use paper-review instead).
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rshankras avatar
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rshankras/claude-code-apple-skills

Swift language patterns and best practices including concurrency, performance, and modern idioms. Use for Swift language-level code review or architecture guidance.
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davila7 avatar
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davila7/claude-code-templates

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alchaincyf avatar
huashu-weread-advisor

alchaincyf/huashu-weread

微信读书高阶顾问。在底层 weread skill 的原子 API 之上,提供四类工作流:基于已读做个性化进阶推荐(advisor)、给方向规划入门到前沿的阶梯书单(path)、把零散划线想法提炼成读书笔记总结(alchemy)、做季度/年度阅读复盘并生成可发朋友圈/公众号的文章(review)。核心方法是「书架 + 笔记交叉分析」——书架揭示用户主动分类的兴趣,笔记数据揭示「真读过的」vs「只放着的」。当用户说「推荐书」「下一本读啥」「该读什么」「想搞懂 X 这个领域」「整理我的笔记」「这本书我记住了啥」「我今年读了什么」「读书复盘」「年度盘点」时触发。即使用户只是说「不知道读啥」「有没有相关的书」「帮我看看这本读完了吗」「这个领域我入门了吗」也应触发。
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ccheney avatar
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ccheney/robust-skills

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openclaudia avatar
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openclaudia/openclaudia-skills

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