KS
Killer-Skills

md-skills — how to use md-skills for captcha recognition how to use md-skills for captcha recognition, md-skills vs other AI development tools, md-skills setup guide for TensorFlow2.16.1, what is md-skills and its applications, md-skills alternative for machine learning development, installing md-skills for AI-powered development

v1.0.0
GitHub

About this Skill

Perfect for Machine Learning Agents needing advanced captcha recognition capabilities using TensorFlow2.16.1 md-skills is a technical skill focused on developing captcha recognition systems using TensorFlow2.16.1, emphasizing efficient document management and editing capabilities.

Features

Utilizes TensorFlow2.16.1 for AI-powered captcha recognition
Enforces strict document editing limits to prevent token overflow
Requires documents to be stored in a unified docs/ directory
Restricts document editing to 500 strings or less per session
Mandates the use of summary-style text in documents for consistency

# Core Topics

AWDSCAN AWDSCAN
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
20
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add AWDSCAN/TensorFlowCaptcha/md-skills

Agent Capability Analysis

The md-skills MCP Server by AWDSCAN is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use md-skills for captcha recognition, md-skills vs other AI development tools, md-skills setup guide for TensorFlow2.16.1.

Ideal Agent Persona

Perfect for Machine Learning Agents needing advanced captcha recognition capabilities using TensorFlow2.16.1

Core Value

Empowers agents to build and streamline AI-powered captcha recognition systems using TensorFlow, facilitating efficient machine learning development with protocols like TensorFlow2.16.1 and streamlining AI model training

Capabilities Granted for md-skills MCP Server

Building captcha recognition models
Streamlining AI-powered development workflows
Developing machine learning applications with TensorFlow2.16.1

! Prerequisites & Limits

  • Requires TensorFlow2.16.1
  • 500 character limit per document edit
  • Strictly text-based documentation without emoji
Project
SKILL.md
363 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

所有的文档都全部必须统一存放到docs/目录下,每次会话只能够编辑一个文档,每次编辑文档不允许超过500字符串,避免因为总是编写文档导致token溢出问题。文档为了规范性只允许使用总结性的文本进行编写,严格的禁止在文档中出现任何的emoji图标,这会显得文档不专业。

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