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gateway-script-design网关脚本设计

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

196

周安装

8

GitHub Stars

61

下载量

63
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gateway-script-design(网关脚本设计)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/gateway-script-design
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill gateway-script-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill gateway-script-design

简介

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。

  • 使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。
  • 可通过 npx skills add 命令从 GitHub 仓库安装,具体用法请参考原始 README。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • gateway-script-design 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Gateway Script Design Skill

Guide creation of gateway scripts - the entry points into agentic coding.

When to Use

  • Creating new CLI entry points for agents
  • Building programmatic agent invocation
  • Designing composed workflows
  • Setting up automation scripts

Core Concept

"This script is the gateway into agentic coding. It's distinctly different from any other type of code - it's calling an agent."

Gateway scripts move you from conversation to automation.

Three Gateway Patterns

Pattern 1: Direct Prompt

Execute ad-hoc prompts:

# adw_prompt.py
@click.command()
@click.argument("prompt")
@click.option("--model", default="opus")
def main(prompt: str, model: str):
    request = AgentPromptRequest(
        prompt=prompt,
        model=model,
        agent_name="oneoff"
    )
    response = prompt_claude_code(request)

Use case: Quick one-offs, testing, exploration

Pattern 2: Slash Command Wrapper

Execute slash commands programmatically:

# adw_slash_command.py
@click.command()
@click.argument("command")
@click.argument("args", nargs=-1)
def main(command: str, args: tuple):
    request = AgentTemplateRequest(
        slash_command=f"/{command}",
        args=list(args)
    )
    response = execute_template(request)

Use case: Scheduled commands, triggers, external integration

Pattern 3: Composed Workflow

Chain multiple agents:

# adw_chore_implement.py
def main(description: str):
    # Phase 1: Plan
    plan_response = execute_template("/chore", description)
    plan_path = extract_plan_path(plan_response)

    # Phase 2: Implement
    impl_response = execute_template("/implement", plan_path)
    return impl_response

Use case: Multi-step automation, full workflows

Design Checklist

1. CLI Interface

import click

@click.command()
@click.argument("input", required=True)
@click.option("--model", default="opus", help="Model to use")
@click.option("--verbose", is_flag=True, help="Verbose output")
def main(input: str, model: str, verbose: bool):
    ...

2. Unique Identification

def generate_short_id() -> str:
    return uuid.uuid4().hex[:8]

adw_id = generate_short_id()  # e.g., "a1b2c3d4"

3. Output Organization

output_dir = f"agents/{adw_id}/{agent_name}"
os.makedirs(output_dir, exist_ok=True)

output_file = f"{output_dir}/cc_raw_output.jsonl"

4. Safe Environment

def get_safe_env() -> dict:
    return {
        "ANTHROPIC_API_KEY": os.getenv("ANTHROPIC_API_KEY"),
        "PATH": os.getenv("PATH"),
        # Only essential vars
    }

5. Error Handling

try:
    response = prompt_claude_code(request)
except TimeoutError:
    log_error("Agent timed out")
    sys.exit(1)
except ExecutionError as e:
    log_error(f"Execution failed: {e}")
    sys.exit(1)

6. Rich Output

from rich.console import Console
from rich.panel import Panel

console = Console()

console.print(Panel(
    response.output,
    title=f"[bold green]{agent_name}[/]",
    border_style="green"
))

Request/Response Models

class AgentPromptRequest(BaseModel):
    prompt: str
    adw_id: str
    model: str = "opus"
    agent_name: str = "oneoff"
    output_file: Optional[str] = None

class AgentPromptResponse(BaseModel):
    output: str
    success: bool
    error: Optional[str] = None
    output_file: str

Output File Structure

Every gateway produces:

agents/{adw_id}/{agent_name}/
├── cc_raw_output.jsonl     # Streaming messages
├── cc_raw_output.json      # Parsed array
├── cc_final_object.json    # Last message
└── custom_summary.json     # Metadata

Key Memory References

  • @gateway-script-patterns.md - Pattern examples
  • @agentic-layer-structure.md - Where scripts live
  • @programmable-claude-patterns.md - CLI invocation

Output Format

## Gateway Script Design

**Script Name:** adw_{purpose}.py
**Pattern:** [Direct | Wrapper | Composed]

### CLI Interface
- Arguments: {required args}
- Options: --model, --verbose

### Agent Configuration
- Name: {agent_name}
- Model: opus (default)
- Output: agents/{adw_id}/{agent_name}/

### Execution Flow
1. Parse arguments
2. Generate ADW ID
3. Create output directory
4. Build request
5. Execute agent
6. Handle response
7. Display results

### Error Handling
- Timeout: Log and exit 1
- Execution error: Log reason and exit 1
- Success: Display panel with results

### Files Generated
- cc_raw_output.jsonl
- cc_raw_output.json
- cc_final_object.json
- custom_summary.json

Anti-Patterns

  • Passing full environment to subprocess
  • Not generating unique IDs (collision risk)
  • No error handling (silent failures)
  • Inline output instead of files (not auditable)
  • No CLI interface (hard to use)

Version History

  • v1.0.0 (2025-12-26): Initial release

Last Updated

Date: 2025-12-26 Model: claude-opus-4-5-20251101

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.67%
按下载量换算22

Claude

32.89%
按下载量换算21

Cursor

19.59%
按下载量换算12

Gemini CLI

9.54%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/melodic-software/claude-code-plugins --skill gateway-script-design 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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