dtyqdtyqOfficial·45 Agent Skills Included

magic

Enterprise AI agent platform for digital employees and automated business output

Runs an enterprise-grade AI agent platform where digital employees produce finished deliverables like PPTs, dashboards, reports, and social media posts. Eliminates scattered personal AI accounts, uncontrolled API spending, and risky unsupervised automation through sandbox isolation, budget caps, and human approval gates. Connects agents to DingTalk, Lark, WeCom, calendars, and internal systems so teams get 24/7 autonomous business execution.
npx skills add dtyq/magic --all -g -y
Available:

Tells AI coding agents how to behave inside this repository: enforce tool-result and prompt-quality rules in the Python backend, and follow React, styling, i18n, and testing conventions in the web frontend.

All Skills in This Repository (45)

Pure Emerald Level Indicators
📦 In Repo
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bugfix-workflow

Automates structured bug-fix workflows with Current, Expected and Unchanged Behavior definitions.

Official
Advanced
📦 In Repo
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wiki-generator

Extract system architecture details from codebases into navigable Wiki pages with Mermaid diagrams.

Official
Advanced
📦 In Repo
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dual-edition-module-migration

Migrate shared modules to mirrored enterprise overlays under enterprise/src/opensource.

Official
Advanced
📦 In Repo
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code-review-expert

Review current git changes for SOLID violations, security risks, and improvements.

Official
Advanced
📦 In Repo
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antd-style-to-tailwind

Translate Ant Design CSS-in-JS patterns to Tailwind utilities.

Official
Advanced
📦 In Repo
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vercel-react-best-practices

Improves React/Next.js performance through prioritized code and design reviews.

Official
Advanced
📦 In Repo
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ui-data-testid

Standardize and preserve data-testid attributes across React/TSX UI components.

Official
Intermediate
📦 In Repo
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vercel-composition-patterns

Replace boolean prop proliferation with React composition patterns.

Official
Advanced
📦 In Repo
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subagents

Delegate subtasks to specialized agents and collect results with wait_for_subagents.

Official
Advanced
📦 In Repo
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using-mcp

Discover MCP servers, list tools, and call them with validated schemas.

Official
Advanced
📦 In Repo
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using-cron

Create, list, update, and delete scheduled tasks with daily, weekly, or monthly timing.

Official
Advanced
📦 In Repo
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deep-research

Turn vague prompts into multi-source research reports with HTML output.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install Magic?

Run `npx skills add dtyq/magic --all -g -y` in your terminal to install all skills in this suite globally.

What is Magic used for?

Magic is an open-source enterprise AI agent platform that turns business workflows into digital employees delivering finished artifacts like reports, PPTs, dashboards, and social media content.

How does Magic keep enterprise data safe?

Every agent runs in an isolated sandbox container with per-user network proxying, per-department budget caps, and human approval gates for high-risk actions like deleting data or sending emails.

Can Magic connect to DingTalk, Lark, or WeCom?

Yes. Built-in skills connect agents to DingTalk, Lark, WeCom, and WeChat so your AI workforce can read messages, send updates, and operate inside your existing IM tools.

Do I need coding skills to use Magic agents?

No. Business users interact through plain-language requests, while the platform handles tool routing, scheduling, and artifact generation automatically.

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