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Agent Skill · 前端设计

skill-standardization(技能标准化)

skill-standardization 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。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。

skill-standardization 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 86。

总安装 246,960周安装 10,458GitHub Stars 88下载 86,520核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:skill-standardization(技能标准化)
来源仓库:https://github.com/supercent-io/skills-template
仓库路径:skills/skill-standardization
安装命令:
npx skills add https://github.com/supercent-io/skills-template --skill skill-standardization
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/supercent-io/skills-template --skill skill-standardization

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

根据Agent Skill规范验证和标准化 SKILL.md 文件。

验证 frontmatter 字段(名称、描述、允许的工具、元数据)并强制执行命名约定、长度约束和格式规则 将旧技能格式转换为标准结构,包括章节标题规范化和目录布局对齐 提供模板和分步指导,用于创建新技能、改进可靠触发的描述以及批量验证技能目录 包括评估测试用例脚手架 (evals.json) 以及用于可验证技能测试的断言模式

来源仓库内路径:skills/skill-standardization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/supercent-io/skills-template --skill skill-sta…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-standardization 怎么安装?

在终端执行 npx skills add https://github.com/supercent-io/skills-template --skill skill-standardizati…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-standardization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-standardization 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

skill-standardization 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-standardization 用的人多吗?

公开数据是累计安装 246,960 次,近一周安装 10,458 次,下载 86,520 次,GitHub 88 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-standardization 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
skill-standardization

技能标准化 · 本页

246,96088只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill Standardization

When to use this skill

  • Creating a new SKILL.md file from scratch
  • Auditing existing skills for Agent Skills specification compliance
  • Converting legacy skill formats (non-standard headings, frontmatter) to standard
  • Improving skill descriptions to trigger more reliably on relevant prompts
  • Adding evaluation test cases (evals/evals.json) to a skill
  • Batch-validating all skills in a directory for consistency

Agent Skills Specification Reference

Frontmatter fields

FieldRequiredConstraints
nameYes1–64 chars, lowercase alphanumeric + hyphens, no leading/trailing/consecutive hyphens, must match parent directory name
descriptionYes1–1024 chars, must describe what skill does AND when to trigger
allowed-toolsNoSpace-delimited list of pre-approved tools
compatibilityNoMax 500 chars, environment requirements
licenseNoLicense name or reference to bundled file
metadataNoArbitrary key-value map for additional fields

Standard directory structure

skill-name/
├── SKILL.md          # Required
├── scripts/          # Optional: executable scripts
├── references/       # Optional: detailed documentation
├── assets/           # Optional: templates, images, data
└── evals/            # Optional: evaluation test cases
    └── evals.json

Progressive disclosure tiers

TierWhat's loadedWhenToken budget
1. Catalogname + descriptionSession start~100 tokens per skill
2. InstructionsFull SKILL.md bodyOn activation< 5000 tokens (500 lines max)
3. Resourcesscripts/, references/When neededVaries

Instructions

Step 1: Validate an existing skill

Run the validation script on a skill directory:

bash scripts/validate_skill.sh path/to/skill-directory

Validate all skills in a directory:

bash scripts/validate_skill.sh --all .agent-skills/

The script checks:

  • Required frontmatter fields (name, description)
  • name format: lowercase, no consecutive hyphens, matches directory name
  • description length: 1–1024 characters
  • allowed-tools format: space-delimited (not YAML list)
  • Recommended sections present
  • File length: warns if over 500 lines

Step 2: Write an effective description

The description field determines when a skill triggers. A weak description means the skill never activates; an over-broad one triggers at wrong times.

Template:

description: >
  [What the skill does — list specific operations.]
  Use when [trigger conditions]. Even if the user doesn't explicitly
  mention [domain keyword] — also triggers on: [synonym list].

Principles (from agentskills.io):

  1. Imperative phrasing — "Use this skill when..." not "This skill does..."
  2. User intent, not implementation — describe what the user wants to achieve
  3. Be explicit about edge cases — "even if they don't say X"
  4. List trigger keywords — synonyms, related terms the user might type
  5. Stay under 1024 characters — descriptions grow during editing; watch the limit

Before / After:

# Before (weak — never triggers)
description: Helps with PDFs.

# After (optimized — reliable triggering)
description: >
  Extract text and tables from PDF files, fill forms, merge and split documents.
  Use when the user needs to work with PDF files, even if they don't explicitly
  say 'PDF' — triggers on: fill form, extract text from document, merge files,
  read scanned pages.

Step 3: Create a new SKILL.md

Use this template as the starting point:

---
name: skill-name
description: >
  [What it does and specific operations it handles.]
  Use when [trigger conditions]. Triggers on: [keyword list].
allowed-tools: Bash Read Write Edit Glob Grep
metadata:
  tags: tag1, tag2, tag3
  version: "1.0"
---

# Skill Title

## When to use this skill
- Scenario 1
- Scenario 2

## Instructions

### Step 1: [Action]
Content...

### Step 2: [Action]
Content...

## Examples

### Example 1: [Scenario]
Input: ...
Output: ...

## Best practices
1. Practice 1
2. Practice 2

## References
- [Link](url)

Step 4: Convert legacy section headings

Legacy headingStandard heading
## Purpose## When to use this skill
## When to Use## When to use this skill
## Procedure## Instructions
## Best Practices## Best practices
## Reference## References
## Output Format## Output format

Step 5: Add evaluation test cases

Create evals/evals.json with 2–5 realistic test prompts:

{
  "skill_name": "your-skill-name",
  "evals": [
    {
      "id": 1,
      "prompt": "Realistic user message that should trigger this skill",
      "expected_output": "Description of what success looks like",
      "assertions": [
        "Specific verifiable claim (file exists, count is correct, format is valid)",
        "Another specific claim"
      ]
    }
  ]
}

Good assertions are verifiable: file exists, JSON is valid, chart has 3 bars. Avoid vague assertions like "output is good."

Available scripts

  • scripts/validate_skill.sh — Validates a SKILL.md against the Agent Skills spec

Examples

Example 1: Validate a skill directory

bash scripts/validate_skill.sh .agent-skills/my-skill/

Output:

Validating: .agent-skills/my-skill/SKILL.md
✓ Required field: name = 'my-skill'
✓ Required field: description present
✗ Description length: 1087 chars (max 1024)
✓ Name format: valid lowercase
✗ Name/directory mismatch: name='myskill' vs dir='my-skill'
✓ Recommended section: When to use this skill
✓ Recommended section: Instructions
⚠ Missing recommended section: Examples
✓ File length: 234 lines (OK)

Issues: 2 errors, 1 warning

Example 2: Batch validate all skills

bash scripts/validate_skill.sh --all .agent-skills/

Example 3: Fix common frontmatter issues

# WRONG — tags inside metadata is non-standard for some validators
metadata:
  tags: [tag1, tag2]   # list syntax
  platforms: Claude    # non-spec field

# CORRECT — per Agent Skills spec
metadata:
  tags: tag1, tag2     # string value
allowed-tools: Bash Read Write  # space-delimited, not a YAML list

Best practices

  1. Description quality first — weak descriptions mean the skill never activates; improve it before anything else
  2. Keep SKILL.md under 500 lines — move detailed reference docs to references/
  3. Pin script versions — use uvx ruff@0.8.0 not just ruff to ensure reproducibility
  4. No interactive prompts in scripts — agents run in non-interactive shells; use --flag inputs, never TTY prompts
  5. Structured output from scripts — prefer JSON/CSV over free-form text; send data to stdout, diagnostics to stderr
  6. Add evals before publishing — at least 2–3 test cases covering core and edge cases

References

平台分布

Claude Code

27.07%
按下载量换算23,421

OpenCode

21.64%
按下载量换算18,723

Codex

18.5%
按下载量换算16,006

Gemini CLI

11.33%
按下载量换算9,803

Antigravity

7.48%
按下载量换算6,472

Cursor

3.28%
按下载量换算2,838

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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