Agent SkillsTangleML/tangle-ui › open-source

open-source

GitHub

提供Tangle-UI开源项目的文案规范,指导编写面向用户的文本、UI文案及文档。要求内容保持厂商中立,避免包含公司内部引用、特定基础设施或员工语言,确保代码和文档对公众通用且可配置。

.claude/skills/open-source/SKILL.md TangleML/tangle-ui

Trigger Scenarios

编写用户界面文案 撰写错误提示信息 创建用户导向的文档 生成横幅通知内容

Install

npx skills add TangleML/tangle-ui --skill open-source -g -y
More Options

Non-standard path

npx skills add https://github.com/TangleML/tangle-ui/tree/master/.claude/skills/open-source -g -y

Use without installing

npx skills use TangleML/tangle-ui@open-source

指定 Agent (Claude Code)

npx skills add TangleML/tangle-ui --skill open-source -a claude-code -g -y

安装 repo 全部 skill

npx skills add TangleML/tangle-ui --all -g -y

预览 repo 内 skill

npx skills add TangleML/tangle-ui --list

SKILL.md

Frontmatter
{
    "name": "open-source",
    "description": "Open source guidelines for Tangle-UI. Use when writing user-facing text, UI copy, error messages, banners, documentation, or any content visible to users."
}

Open Source Guidelines

Tangle-UI is an open source project. All code, UI copy, and documentation must be vendor-neutral and usable by anyone — not just Shopify employees.

Do Not Include

  • Company-specific references: No mentions of Shopify, internal teams, internal tools, or internal infrastructure
  • Internal URLs: No links to internal dashboards, wikis, Slack channels, or internal services
  • Infrastructure assumptions: No references to specific cloud providers, internal clusters, or internal deployment targets as if they're the only option
  • Internal warnings or notices: No banners, alerts, or messages about internal systems, outages, or company-specific policies
  • Employee-specific language: No "talk to the platform team", "file a ticket in [internal tool]", or similar

What to Do Instead

  • Write generic, vendor-neutral copy that applies to any user
  • Reference configurable settings rather than hardcoded internal values (e.g., backend URL is configurable, not pointed at an internal endpoint)
  • Use general cloud/ML terminology (e.g., "your backend" not "the Shopify backend")
  • For infrastructure-specific behavior, make it configurable via environment variables or settings, not hardcoded
  • Error messages should guide users to general troubleshooting steps, not internal escalation paths

Examples

// Bad — Shopify-specific
"Contact the ML Platform team on #ml-platform-support for help."
"This pipeline requires access to the Shopify GCP project."
"Warning: Shopify infrastructure maintenance scheduled."

// Good — vendor-neutral
"Check your backend connection settings."
"This pipeline requires a configured backend endpoint."
"Unable to connect to the backend. Verify your settings."

When Internal Context Is Needed

If Shopify-specific configuration or documentation is needed, it belongs in:

  • Environment variables (configured at deployment, not in code)
  • External documentation (internal wikis, not in-app)
  • The backend (server-side configuration, not frontend hardcoding)

Never put it in the frontend source code, UI copy, or committed configuration files.

Version History

  • d7768e8 Current 2026-09-02 20:59

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Metadata

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Version
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Hash
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Indexed
2026-09-02 20:59

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